Basics of Magnetic Resonance Imaging (MRI)
|
|
- Berenice Gladys Farmer
- 6 years ago
- Views:
Transcription
1 Basics of Magneic Resonance MRI Shaoing HUANG, PhD Singapore Universi of Technolog and Design
2 OUTLINE Medical imaging modaliies Hisor of MRI Working principles of MRI
3 Medical Modaliies Creae images of human bod non-invasivel X-ra radiograph X-ra compued omograph CT Medical ulrasonograph MRI 3
4 Medical Modaliies X-ra radiograph To use X-ras o view he inernal srucure of a non-uniforml composed and opaque objec Projeced plane X-ra generaor Subjec - 2D images - Radiaion: X-ra is absorbed b he subjec 4
5 Medical Modaliies X-ra Compued Tomograph CT To generae a 3D image of he inernal srucure of an objec from a large series of 2D radiographic images aken around a single ais of roaion D images - X-ra absorbed b he subjec is 100 imes of ha b using -ra radiograph 5
6 Medical Modaliies Medical ulrasonograph Ulrasound-based imaging echnique used for visualiing subcuaneous bod srucures Obseric sonograph blog.healhap.com - I displas 2D cross-secion of he issue Blood flow Moion of he issue over ime The locaion of blood The presen of specific molecules The siff ness of issues Anaom of 3D region - Advanages Provide real-ime images Porable Low cos No harmful radiaion Limiaions on field of view Difficul imaging srucure behind bone The skill of operaors maers 6
7 Medical Modaliies Magneic Resonance MRI billpsudios.blogspo.com - 3D images - Low RF radiaion - Cos: 2-4 millions USD 7
8 MRI Differen names of MRI Magneic resonance imaging MRI Nuclear magneic resonance imaging NMRI Magneic resonance omograph MRT Advanages: Good conras Noninvasive No ioniing radiaion Arbirar scan planes Abdomen Spine Hear / Coronar hp://mrsrl.sanford.edu/~brian/inromr/ 8
9 Hisor of MRI 1952 Herman Carr Harvard Universi 1960 Vladislav Ivanov Sovie Union 1970 Peer Mansfield Universi of Noingham 1971 Ramond Damadian Sae Universi of New York Produced 1D MRI image Filed a documen for a magneic resonance imaging device USSR Sae Commiee for Invenions and Discover a Leningrad Developed a mahemaical echnique ha would allow scans o ake seconds raher han hours and produce clearer images han Lauerbur had. Repored umors and normal issue can be disinguished in vivo b NMR [Science]. This mehod is no effecive and no pracical Ramond Damadian Creaed he world s firs MRI machine & filed a paen 1973 Paul Lauerbur Sae Universi of New York Epended Carr s echnique & generaed and published he firs nuclear magneic resonance 2D and 3D images using gradiens 9
10 Hisor of MRI Ramond Damadian's apparaus and mehod for deecing cancer in issue [1] The Naional Science Foundaion noes "The paen included he idea of using NMR o 'scan' he human bod o locae cancerous issue. However, i did no describe a mehod for generaing picures from such a scan or precisel how such a scan migh be done.[2][3] [1] [2] "Scienis Claims Eclusion From Nobel Prie for MRI". Los Angeles Times Rerieved [3] "Does Dr. Ramond Damadian Deserve he Nobel Prie for Medicine?". The Armenian Reporer Rerieved
11 Hisor of MRI 1974 Paul Lauerbur Generaed he firs cross-secional image of a living mouse 1977 Ramond Damadian Larr Minkoff Michael Goldsmih Performed and published he firs MRI bod scan of a human 1979 Richard S. Likes GE Filed a paen on k-space 1970s John Mallard Universi of Aberdeen Buil he firs full bod MRI scanner a he Universi of Aberdeen 1980 John Mallard Obained he firs clinicall useful image of a paien s inernal issues using MRI using he machine he buil during he 1970s 1980 Paul Boomle GE Buil he firs 1.5T whole-bod MRI/MRS scanner he highes srengh a ha ime 1982 Paul Boomle Johns Hopkins Universi 2003 Paul Lauerbur Peer Mansfield Performed he firs localied MR Specroscop MRS in he human hear and brain Nobel Prie in Phsiolog or Medicine for heir "discoveries concerning magneic resonance imaging" 11
12 Magneic Resonance - Spins A group of aoms wih odd number of proons and/or odd number of neurons Possess a nuclear spin angular momenum Ehibi nuclear MR phenomena e.g. hdrogen 1 H Visualiaion Nucleons Spinning charged spheres Small magneic momens 1 H MR relevan nuclei spins MRI Spin Polariaion Precession Relaaion Signal Recepion 12
13 Magneic Resonance - Spins Eamples of MR-relevan nuclei spins Hdrogen 1 H, single proon - Mos abundan large amoun - Mos sensiive gives large signals - Mos sudied 1 H 31 P MRI Spin Polariaion Precession Relaaion Signal Recepion Phosphorus 31 P Imporan indicaor of meabolism 13
14 Polariaion Spins are aligned o he applied field equilibrium sae Resuls: ne magneiaion No Applied Field Applied Field B 0 MRI MR Polariaion Precession Relaaion Signal Recepion 14
15 Polariaion 15 MRI MR Polariaion Precession Relaaion Signal Recepion
16 Precession Spins precess abou B 0 Angular frequenc & frequenc of he precession B 0 2f B f B or 42 2 MH/Tesla B 0 Equilibrium sae direcion MRI MR Polariaion Precession Relaaion Signal Recepion 16
17 Precession Spins precess abou B 0 Angular frequenc & frequenc of he precession B 0 2f B f B or 42 2 MH/Tesla To obain MR signal: B 1 is uned o o ecie spins OUT OF equilibrium B 1 Ou of equilibrium sae direcion B 0 Equilibrium sae direcion Source: hp://mrsrl.sanford.edu/~bria n/inromr/ MRI MR Polariaion Precession Relaaion Signal Recepion B 1 : radiofrequenc field 17
18 Polariaion 18 MRI MR Polariaion Precession Relaaion Signal Recepion
19 Relaaion Magneiaion reurns eponeniall o equilibrium Longiudinal recover ime consan, T 1 Transverse deca ime consan, T 2 Differen issues have differen T 1 and T 2 M T 1 T 2 M ime Recover ime Deca ms ms B 1 Ou of equilibrium sae direcion MRI MR Polariaion Precession Relaaion Signal Recepion B 0 Equilibrium sae direcion 19
20 Relaaion Magneiaion reurns eponeniall o equilibrium Longiudinal recover ime consan, T 1 Transverse deca ime consan, T 2 Differen issues have differen T 1 and T 2 Source: hp://mrsrl.sanford.edu/~brian/inromr/ MRI MR Polariaion Precession Relaaion Signal Recepion 20
21 Relaaion M T 1 M T 2 ime Recover ime Deca T 1 is deermined b hermal ineracions beween he resonaing proons and oher proons and oher magneic nuclei in he magneic environmen or "laice". - T 2 deca is due o magneic ineracions ha occur beween spinning proons. - T 2 ineracions do no involve a ransfer of energ bu onl a change in phase, which leads o a loss of coherence. MRI MR Polariaion Precession Relaaion Signal Recepion 21
22 Signal Recepion The spin precession causes magneic flu B change in a RF coil The change in flu induces currens/volage The induced currens/volage generaes signal F B RF coil B 0 22 MRI MR Polariaion Precession Relaaion Signal Recepion
23 Signal Recepion The spin precession causes magneic flu B change in a RF coil The change in flu induces currens/volage The induced currens/volage generaes signal Source: hp://mrsrl.sanford.edu/~brian/inromr/ 23 MRI MR Polariaion Precession Relaaion Signal Recepion
24 Signal Recepion The spin precession causes magneic flu B change in a RF coil The change in flu induces currens/volage The induced currens/volage generaes signal 3T 128 MH F B? RF coil B 0 24 MRI MR Polariaion Precession Relaaion Signal Recepion
25 2D Sequence Sep 1: Selecive eciaion: B 1 is applied o he presence of B 0 & G Sep 2: Spaial signal encoding & signal readou Mehod 1 Projecion-reconsrucion mehod -ra CT Mehod 2 2D Fourier ransform mehod popular MRI MR Polariaion Precession Relaaion Signal Recepion 25
26 Nonselecive Eciaions & 3D B 1 is applied o he presence of B 0 onl 3D imaging B 1 Ou of equilibrium sae direcion B 0 Commen: 3D imaging is usuall ime consuming Equilibrium sae direcion B 1 B 0 B 0 MRI MR Polariaion Precession Relaaion Signal Recepion 26
27 Selecive Eciaion & 2D B 1 is applied o he presence of B 0 & a linear gradien field G, G, or G Ecie a plane he -ais 2D imaging B 1 B 0 + G B 0 + G G G e.g. G = 1 Gauss /m MRI MR Polariaion Precession Relaaion Signal Recepion 27
28 Selecive Eciaion & 2D B 1 is applied o he presence of B 0 & a linear gradien field G, G, or G Ecie a plane he -ais 2D imaging 1 B 0 + G 0-1 B 0 B 0 - G B 0 B 1 B 0 + G B 0 + G MRI MR Polariaion Precession Relaaion Signal Recepion 28
29 Selecive Eciaion & 2D B 1 is applied o he presence of B 0 & a linear gradien field G, G, or G Ecie a plane he -ais 2D imaging 1 B 0 + G 0-1 B 0 B 0 - G B 0 B 1 upper B 0 G 2 + G B 0 + G lower B 0 G 2 MRI MR Polariaion Precession Relaaion Signal Recepion 29
30 Selecive Eciaion & 2D B 1 is applied o he presence of B 0 & a linear gradien field G, G, or G Ecie a plane he -ais 2D imaging B 1 G B 0 F.T. + G B 0 G + - The frequenc conen of B 1 mus be a recangular funcion - Ideall, B 1 mus be a sinc funcion - Pracicall, B 1 is a sinc-like funcion MRI MR Polariaion Precession Relaaion Signal Recepion 30
31 2D Sequence Sep 1: Selecive eciaion: B 1 is applied o he presence of B 0 & G B 1 B 0 Preferred siuaion: in phase + G B 0 G + RF G B 1 RF coil eciaion MRI MR Polariaion Precession Relaaion Signal Recepion 31
32 2D Sequence Sep 2: Spaial signal encoding & signal readou G G G G G G B 1 RF G RF sources RF coil recepion G G?? 1, 1 2, MRI MR Polariaion Precession Relaaion Signal Recepion 3, 3 B 0 Eample: G = 1 Gauss /m so B B G G G B G 0 0 G B 0 G G B 2 0 G G 32
33 2D Sequence Sep 2: Spaial signal encoding & signal readou RF sources 3, 3 < 1 > 1 B 0 G B 0 G Mehod 1 Projecion-reconsrucion mehod RF G B 1 RF coil recepion 1, 1 2, 2 A 1, afer eciaion > 1 G G 1 MRI MR Polariaion Precession Relaaion Signal Recepion 33
34 2D Sequence Sep 2: Spaial signal encoding & signal readou B 1 RF sources RF coil recepion 3, 3 1, 1 2, 2 Mehod 1 Projecion-reconsrucion mehod RF G A 1, afer eciaion < 1 > 1 s [ > 1 m, B 0 G B 0 G m, e ig d] e dd ig d G G MRI MR Polariaion Precession Relaaion Signal Recepion 34
35 2D Sequence Sep 2: Spaial signal encoding & signal readou B 1 RF sources RF coil recepion 3, 3 1, 1 2, 2 Mehod 1 Projecion-reconsrucion mehod RF G G G MRI MR Polariaion Precession Relaaion Signal Recepion A 1, afer eciaion < 1 > 1 s [ > 1 m, B 0 G B 0 G m, g e e d] e ig ig d dd ig d g m, d g is he projecion of m, along he -direcion 35
36 2D Sequence Sep 2: Spaial signal encoding & signal readou RF sources 3, 3 < 1 > 1 B 0 G B 0 G G B 1 RF coil recepion 1, 1 2, 2 Mehod 1 Projecion-reconsrucion mehod wih an angle k RF G G Gcos G Gsin G k G MRI MR Polariaion Precession Relaaion Signal Recepion 36
37 2D Sequence Sep 2: Spaial signal encoding & signal readou Mehod 1 Projecion-reconsrucion mehod wih an angle In X-ra CT imaging Each poin in he projecion The sum of he objec disribuion along he appropriae ra pah - A single projec angle DOES NOT provide spaial informaion of he objec disribuion along he ra pah - Muliple angles are needed. MRI MR Polariaion Precession Relaaion Signal Recepion 37
38 2D Sequence Sep 2: Spaial signal encoding & signal readou RF sources B 1 RF coil recepion 3, 3 1, 1 2, 2 Mehod 2 2D Fourier ransform mehod spaial encoding in a smar wa RF G G Phase encoding s ; m, e ig e ig dd G Readou MRI MR Polariaion Precession Relaaion Signal Recepion 38
39 2D Fourier Transform Mehod RF G G G Phase encoding Readou s ; m, e ig e ig dd > 2 39 MRI MR Polariaion Precession Relaaion Signal Recepion
40 2D Fourier Transform Mehod MRI MR Polariaion Precession Relaaion Signal Recepion dd e e m s G i G i, ; d G k 0 2 d G k 0 2 dd e m s k k i ] [ 2, Le Signal equaion dd e m k k M s k k i ] [ 2, ], [ RF G G G Phase encoding Readou 0 1 2
41 2D Fourier Transform Mehod MRI MR Polariaion Precession Relaaion Signal Recepion k k s Measurable, m Objec Fourier Transform dd e e m s G i G i, ; d G k 0 2 d G k 0 2 dd e m s k k i ] [ 2, Le Signal equaion dd e m k k M s k k i ] [ 2, ], [ k-space
42 2D Fourier Transform Mehod Signal equaion s M[ k k-space k s, k ] m, e k-space i2 [ k k ] dd k Measurable Fourier Transform m, Objec Source: MRI MR Polariaion Precession Relaaion Signal Recepion 42
43 2D Sequence Sep 1: Selecive eciaion: B 1 is applied o he presence of B 0 & G Sep 2: Spaial signal encoding & signal readou Mehod 1 Projecion-reconsrucion mehod -ra CT RF G RF G G G G G Mehod 2 2D Fourier ransform mehod popular RF G G G MRI MR Polariaion Precession Relaaion Signal Recepion Phase encoding Readou 43
44 Applicaions of MRI Funcional MRI Diffusion MRI Magneic resonance specroscop Real-ime MRI Inervenional MRI Magneic resonance angiograph Magneic resonance guided focused ulrasound
45 Applicaions of MRI Funcional MRI fmri - fmri measures signal changes in he brain ha are due o changing neural acivi. - Compared o anaomical T1-weighed imaging, he brain is scanned a lower spaial resoluion bu a a higher emporal resoluion picall once ever 2 3 seconds Diffusion MRI - Diffusion MRI measures he diffusion of waer molecules in biological issues. - Clinicall, diffusion MRI Is useful for he diagnoses of condiions e.g., sroke or neurological disorders e.g., muliple sclerosis Helps beer undersand he connecivi of whie maer aons in he cenral nervous ssem Source: hp://en.wikipedia.org/wiki/magneic_resonance_imaging#specialied_applicaions
46 Applicaions of MRI Magneic resonance specroscop MRS - MRS is used o measure he levels of differen meabolies in bod issues. - The MR signal produces a specrum of resonances ha corresponds o differen molecular arrangemens of he isoope being "ecied". - This signaure is used o diagnose cerain meabolic disorders, especiall hose affecing he brain o provide informaion on umor meabolism Source: hp://en.wikipedia.org/wiki/magneic_resonance_imaging#specialied_applicaions
47 * Take Home Message The phsical process of MRI MR Polariaion Precession Relaaion Signal Recepion Three main fields: Main field, B 0 RF field, B 1 Linear gradien field, G sequence Sep 1: eciaion Sep 2: signal encoding & signal readou 2D mehod Signal equaion s M[ k, k ] m, e i2 [ k k ] dd 47
48 for our aenion!
Get: Nuclear (equilibrium) magnetization M 0. (Magnitude dictated by Boltzmann distribution)
9: Relaaion of nuclear magneiaion. How is he R signal deeced?. Wha is he quanum-mechanical equivalen of he roaing frame? 3. Wha is he roaing frame descripion good for? 4. How can he reurn of he magneiaion
More informationNMR Spectroscopy: Principles and Applications. Nagarajan Murali 1D - Methods Lecture 5
NMR pecroscop: Principles and Applicaions Nagarajan Murali D - Mehods Lecure 5 D-NMR To full appreciae he workings of D NMR eperimens we need o a leas consider wo coupled spins. omeimes we need o go up
More informationBiomedical Imaging. Nuclear Magnetic Resonance. Patrícia Figueiredo IST,
Biomedical Imaging Nuclear agneic Resonance Parícia Figueiredo IST, 213-214 The wide specrum of medical imaging echniques (F. Deconinck, Vrije Universi, Belgium). Overview Nuclear magneism Precession:
More informationRelaxation. T1 Values. Longitudinal Relaxation. dm z dt. = " M z T 1. (1" e "t /T 1 ) M z. (t) = M 0
Relaxaion Bioengineering 28A Principles of Biomedical Imaging Fall Quarer 21 MRI Lecure 2 An exciaion pulse roaes he magneiaion vecor away from is equilibrium sae (purely longiudinal). The resuling vecor
More informationHW6: MRI Imaging Pulse Sequences (7 Problems for 100 pts)
HW6: MRI Imaging Pulse Sequences (7 Problems for 100 ps) GOAL The overall goal of HW6 is o beer undersand pulse sequences for MRI image reconsrucion. OBJECTIVES 1) Design a spin echo pulse sequence o image
More informationPhysics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle
Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,
More informationRefocusing t. Small Tip Angle Example. Small Tip Angle Example. Bioengineering 280A Principles of Biomedical Imaging. Fall Quarter 2010 MRI Lecture 5
Bioengineering 280A Principles of Biomedical Imaging Fall Quarer 2010 MRI Lecure 5 RF N random seps of lengh d Refocusing ' M xy (,) = jm 0 "B 1 ()exp( jk(,))d %& 100 seps This has he 2D form random of
More information' ' ' t. Moving Spins. Phase of Moving Spin. Phase of a Moving Spin. Bioengineering 280A Principles of Biomedical Imaging
Moving Spins Bioengineering 8A Principles of Biomedical Imaging Fall Quarer 1 MRI Lecure 6 So far we have assumed ha he spins are no moving (aside from hermal moion giving rise o relaaion) and conras has
More informationSE Sequence: 90º, 180º RF Pulses, Readout Gradient e.g., 256 voxels in a row
Ouline for Today 1. 2. 3. Inroducion o MRI Quanum NMR and MRI in 0D Magneizaion, m(x,), in a Voxel Proon T1 Spin Relaxaion in a Voxel Proon Densiy MRI in 1D MRI Case Sudy, and Cavea Skech of he MRI Device
More informationSampling in k-space. Aliasing. Aliasing. Bioengineering 280A Principles of Biomedical Imaging. Fall Quarter 2010 MRI Lecture 3. Slower B z (x)=g x x
Sampling in k-space Bioengineering 80A Principles of Biomedical Imaging Fall Quarer 00 MRI Lecure 3 Thomas Liu, BE80A, UCSD, Fall 008 Aliasing Aliasing Slower B z (G Faser Inuiive view of Aliasing FOV
More information' ' ' t. Moving Spins. Phase of a Moving Spin. Bioengineering 280A Principles of Biomedical Imaging. Fall Quarter 2007 MRI Lecture 6
Moving Spins Bioengineering 28A Principles of Biomedical Imaging Fall Quarer 27 MRI Lecure 6 So far we have assumed ha he spins are no moving (aside from hermal moion giving rise o relaxaion), and conras
More informationExam 8NC20-8NC29 - Introduction to NMR and MRI
Exam 8NC-8NC9 - Inroducion o NMR and MRI Friday April 5, 8.-. h For his exam you may use an ordinary calculaor (no a graphical one). In oal here are 6 assignmens and a oal of 64 poins can be earned. You
More informationSpin echo. ½πI x -t -πi y -t
y Spin echo ½πI - -πi y - : as needed, no correlaed wih 1/J. Funcions: 1. refocusing; 2. decoupling. Chemical shif evoluion is refocused by he spin-echo. Heeronuclear J-couplings evoluion are refocused
More information' ' ' t. Moving Spins. Phase of a Moving Spin. Phase of Moving Spin. Bioengineering 280A Principles of Biomedical Imaging
Moving Spins Bioengineering 28A Principles of Biomedical Imaging Fall Quarer 28 MRI Lecure 7 So far we have assumed ha he spins are no moving (aside from hermal moion giving rise o relaxaion), and conras
More informationNMR Spectroscopy: Principles and Applications. Nagarajan Murali 2D NMR Heteronuclear 2D Lecture 7
NMR pecroscop: Principles and Applicaions Nagarajan Murali D NMR Heeronuclear D Lecure 7 Heero Nuclear D-NMR Two dimensional NMR can be used o correlae NMR signals arising from differen nuclei such as
More informationLecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.
Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in
More informationOutline of Topics. Analysis of ODE models with MATLAB. What will we learn from this lecture. Aim of analysis: Why such analysis matters?
of Topics wih MATLAB Shan He School for Compuaional Science Universi of Birmingham Module 6-3836: Compuaional Modelling wih MATLAB Wha will we learn from his lecure Aim of analsis: Aim of analsis. Some
More informationMoving Spins. Phase of a Moving Spin. Phase of Moving Spin. Bioengineering 280A Principles of Biomedical Imaging. Fall Quarter 2009 MRI Lecture 6
Moving Spins Bioengineering 28A Principles of Biomedical Imaging Fall Quarer 29 MRI Lecure 6 So far we have assumed ha he spins are no moving (aside from hermal moion giving rise o relaxaion), and conras
More informationModule 2 F c i k c s la l w a s o s f dif di fusi s o i n
Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms
More informationψ(t) = V x (0)V x (t)
.93 Home Work Se No. (Professor Sow-Hsin Chen Spring Term 5. Due March 7, 5. This problem concerns calculaions of analyical expressions for he self-inermediae scaering funcion (ISF of he es paricle in
More informationSection 4.4 Logarithmic Properties
Secion. Logarihmic Properies 5 Secion. Logarihmic Properies In he previous secion, we derived wo imporan properies of arihms, which allowed us o solve some asic eponenial and arihmic equaions. Properies
More informationSTATE-SPACE MODELLING. A mass balance across the tank gives:
B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing
More informationLecture #2 Review of Classical MR
Lecure #2 Review of Classical MR Topics Nuclear magneic momens Bloch Equaions Imaging Equaion Exensions Handous and Reading assignmens van de Ven: Chapers 1.1-1.9 de Graaf, Chapers 1, 4, 5, 1 (opional).
More informationk B 2 Radiofrequency pulses and hardware
1 Exra MR Problems DC Medical Imaging course April, 214 he problems below are harder, more ime-consuming, and inended for hose wih a more mahemaical background. hey are enirely opional, bu hopefully will
More informationLab #2: Kinematics in 1-Dimension
Reading Assignmen: Chaper 2, Secions 2-1 hrough 2-8 Lab #2: Kinemaics in 1-Dimension Inroducion: The sudy of moion is broken ino wo main areas of sudy kinemaics and dynamics. Kinemaics is he descripion
More informationCOS 2AB Physics Year 11 Programme 2012
COS AB Physics Year 11 Programme 01 Semeser Week 1 & 30 Jan 6 Feb Monday is School Dev Day Week 3 13 Feb Week 4 0 Feb a & b Disribue Programme, Assessmen srucure, Syllabus, Course ouline Heaing and cooling
More informationChapter 12: Velocity, acceleration, and forces
To Feel a Force Chaper Spring, Chaper : A. Saes of moion For moion on or near he surface of he earh, i is naural o measure moion wih respec o objecs fixed o he earh. The 4 hr. roaion of he earh has a measurable
More informationChapter 17 Physics of Nuclear Medicine. (Radioisotopes in Medicine)
(Radioisoopes in Medicine) Naural radioaciviy (Table 17.1) Becquerel (1905 Novel Prize) Curie: radium Alpha ray Nuclei of helium aoms A few cenimeers in air Posiively charges Fixed energy Bea ray or negaron
More information3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon
3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of
More informationRetrieval Models. Boolean and Vector Space Retrieval Models. Common Preprocessing Steps. Boolean Model. Boolean Retrieval Model
1 Boolean and Vecor Space Rerieval Models Many slides in his secion are adaped from Prof. Joydeep Ghosh (UT ECE) who in urn adaped hem from Prof. Dik Lee (Univ. of Science and Tech, Hong Kong) Rerieval
More informationOrdinary Differential Equations
Lecure 22 Ordinary Differenial Equaions Course Coordinaor: Dr. Suresh A. Karha, Associae Professor, Deparmen of Civil Engineering, IIT Guwahai. In naure, mos of he phenomena ha can be mahemaically described
More informationVehicle Arrival Models : Headway
Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where
More information= N 0!e. Topics... Nuclear Medicine: Gamma cameras, SPECT and PET. Radioactivity Discovery. Part 1: Radioactive Decay.
Topics... Nuclear Medicine: Gamma cameras, SPECT and PET 1: radioacive decay 2: deecion of radiaion A brief inroducion for DTU sudens Inroducion o medical imaging 31540, 2010 3: planar imaging 4: omographic
More informationRF Excitation. Rotating Frame of Reference. RF Excitation. Bioengineering 280A Principles of Biomedical Imaging. Fall Quarter 2012 MRI Lecture 6
RF Exciaion Bioengineering 8A Principles of Biomedical Imaging Fall Quarer 1 MRI Lecure 6 hp://www.drcmr.dk/main/conen/view/13/74/ RF Exciaion Roaing Frame of Reference Reference everyhing o he magneic
More informationSection 4.4 Logarithmic Properties
Secion. Logarihmic Properies 59 Secion. Logarihmic Properies In he previous secion, we derived wo imporan properies of arihms, which allowed us o solve some asic eponenial and arihmic equaions. Properies
More informationACE 564 Spring Lecture 7. Extensions of The Multiple Regression Model: Dummy Independent Variables. by Professor Scott H.
ACE 564 Spring 2006 Lecure 7 Exensions of The Muliple Regression Model: Dumm Independen Variables b Professor Sco H. Irwin Readings: Griffihs, Hill and Judge. "Dumm Variables and Varing Coefficien Models
More informationMA 366 Review - Test # 1
MA 366 Review - Tes # 1 Fall 5 () Resuls from Calculus: differeniaion formulas, implici differeniaion, Chain Rule; inegraion formulas, inegraion b pars, parial fracions, oher inegraion echniques. (1) Order
More informationApplication of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing
Applicaion of a Sochasic-Fuzzy Approach o Modeling Opimal Discree Time Dynamical Sysems by Using Large Scale Daa Processing AA WALASZE-BABISZEWSA Deparmen of Compuer Engineering Opole Universiy of Technology
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and
More informationLAPLACE TRANSFORM AND TRANSFER FUNCTION
CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions
More informationAdvanced Organic Chemistry
Lalic, G. Chem 53A Chemisry 53A Advanced Organic Chemisry Lecure noes 1 Kineics: A racical Approach Simple Kineics Scenarios Fiing Experimenal Daa Using Kineics o Deermine he Mechanism Doughery, D. A.,
More informationProposal of atomic clock in motion: Time in moving clock
Proposal of aomic clock in moion: Time in moving clock Masanori Sao Honda Elecronics Co., d., 0 Oyamazuka, Oiwa-cho, Toyohashi, ichi 441-3193, Japan E-mail: msao@honda-el.co.jp bsrac: The ime in an aomic
More informationLecture 4 Kinetics of a particle Part 3: Impulse and Momentum
MEE Engineering Mechanics II Lecure 4 Lecure 4 Kineics of a paricle Par 3: Impulse and Momenum Linear impulse and momenum Saring from he equaion of moion for a paricle of mass m which is subjeced o an
More information[ ]e TE /T 2(x,y ) Saturation Recovery Sequence. T1-Weighted Scans. T1-Weighted Scans. I(x, y) ρ(x, y) 1 e TR /T 1
Sauraion Recovery Sequence 90 TE 90 TE 90 Bioengineering 280A Principles of Biomedical Imaging Fall Quarer 2015 MRI Lecure 5 TR Gradien Echo TR [ ]e TE /T 2 * (x,y ) I(x, y) = ρ(x, y) 1 e TR /T 1 (x,y)
More informationSimulation-Solving Dynamic Models ABE 5646 Week 2, Spring 2010
Simulaion-Solving Dynamic Models ABE 5646 Week 2, Spring 2010 Week Descripion Reading Maerial 2 Compuer Simulaion of Dynamic Models Finie Difference, coninuous saes, discree ime Simple Mehods Euler Trapezoid
More informationAt the end of this lesson, the students should be able to understand
Insrucional Objecives A he end of his lesson, he sudens should be able o undersand Sress concenraion and he facors responsible. Deerminaion of sress concenraion facor; experimenal and heoreical mehods.
More informationElementary Differential Equations and Boundary Value Problems
Elemenar Differenial Equaions and Boundar Value Problems Boce. & DiPrima 9 h Ediion Chaper 1: Inroducion 1006003 คณ ตศาสตร ว ศวกรรม 3 สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา 1/2555 ผศ.ดร.อร ญญา ผศ.ดร.สมศ
More informationEECS 2602 Winter Laboratory 3 Fourier series, Fourier transform and Bode Plots in MATLAB
EECS 6 Winer 7 Laboraory 3 Fourier series, Fourier ransform and Bode Plos in MATLAB Inroducion: The objecives of his lab are o use MATLAB:. To plo periodic signals wih Fourier series represenaion. To obain
More informationTechnical Report Doc ID: TR March-2013 (Last revision: 23-February-2016) On formulating quadratic functions in optimization models.
Technical Repor Doc ID: TR--203 06-March-203 (Las revision: 23-Februar-206) On formulaing quadraic funcions in opimizaion models. Auhor: Erling D. Andersen Convex quadraic consrains quie frequenl appear
More information1. VELOCITY AND ACCELERATION
1. VELOCITY AND ACCELERATION 1.1 Kinemaics Equaions s = u + 1 a and s = v 1 a s = 1 (u + v) v = u + as 1. Displacemen-Time Graph Gradien = speed 1.3 Velociy-Time Graph Gradien = acceleraion Area under
More informationLinear Time-invariant systems, Convolution, and Cross-correlation
Linear Time-invarian sysems, Convoluion, and Cross-correlaion (1) Linear Time-invarian (LTI) sysem A sysem akes in an inpu funcion and reurns an oupu funcion. x() T y() Inpu Sysem Oupu y() = T[x()] An
More informationStability and Bifurcation in a Neural Network Model with Two Delays
Inernaional Mahemaical Forum, Vol. 6, 11, no. 35, 175-1731 Sabiliy and Bifurcaion in a Neural Nework Model wih Two Delays GuangPing Hu and XiaoLing Li School of Mahemaics and Physics, Nanjing Universiy
More informationStructural Dynamics and Earthquake Engineering
Srucural Dynamics and Earhquae Engineering Course 1 Inroducion. Single degree of freedom sysems: Equaions of moion, problem saemen, soluion mehods. Course noes are available for download a hp://www.c.up.ro/users/aurelsraan/
More informationSPH3U: Projectiles. Recorder: Manager: Speaker:
SPH3U: Projeciles Now i s ime o use our new skills o analyze he moion of a golf ball ha was ossed hrough he air. Le s find ou wha is special abou he moion of a projecile. Recorder: Manager: Speaker: 0
More informationThe fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation
Hea (iffusion) Equaion erivaion of iffusion Equaion The fundamenal mass balance equaion is I P O L A ( 1 ) where: I inpus P producion O oupus L losses A accumulaion Assume ha no chemical is produced or
More informationWeek 1 Lecture 2 Problems 2, 5. What if something oscillates with no obvious spring? What is ω? (problem set problem)
Week 1 Lecure Problems, 5 Wha if somehing oscillaes wih no obvious spring? Wha is ω? (problem se problem) Sar wih Try and ge o SHM form E. Full beer can in lake, oscillaing F = m & = ge rearrange: F =
More informationModal identification of structures from roving input data by means of maximum likelihood estimation of the state space model
Modal idenificaion of srucures from roving inpu daa by means of maximum likelihood esimaion of he sae space model J. Cara, J. Juan, E. Alarcón Absrac The usual way o perform a forced vibraion es is o fix
More informationFinal Spring 2007
.615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o
More informationCH.7. PLANE LINEAR ELASTICITY. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.7. PLANE LINEAR ELASTICITY Coninuum Mechanics Course (MMC) - ETSECCPB - UPC Overview Plane Linear Elasici Theor Plane Sress Simplifing Hpohesis Srain Field Consiuive Equaion Displacemen Field The Linear
More informationFormulation of the Stress Distribution Due to a Concentrated Force Acting on the Boundary of Viscoelastic Half-Space
Formulaion of he Sress Disribuion Due o a Concenraed Force Acing on he Boundar of Viscoelasic Half-Space Yun eng and Debao Zhou Deparmen of Mechanical and Indusrial Engineering Universi of Minnesoa, Duluh
More informationRF Excitation. RF Excitation. Bioengineering 280A Principles of Biomedical Imaging
Bioengineering 280A Principles of Biomedical Imaging Fall Quarer 2010 MRI Lecure 4 Simplified Drawing of Basic Insrumenaion. Body lies on able encompassed by coils for saic field B o, gradien fields (wo
More informationRandom Walk with Anti-Correlated Steps
Random Walk wih Ani-Correlaed Seps John Noga Dirk Wagner 2 Absrac We conjecure he expeced value of random walks wih ani-correlaed seps o be exacly. We suppor his conjecure wih 2 plausibiliy argumens and
More informationSymmetry and Numerical Solutions for Systems of Non-linear Reaction Diffusion Equations
Symmery and Numerical Soluions for Sysems of Non-linear Reacion Diffusion Equaions Sanjeev Kumar* and Ravendra Singh Deparmen of Mahemaics, (Dr. B. R. Ambedkar niversiy, Agra), I. B. S. Khandari, Agra-8
More informationBasic MR image encoding
Basic MR image encoding HST.583: Funcional Magneic Resonance Imaging: Daa Acquisiion and Analysis Harvard-MIT Division of Healh Sciences and Technology Dr. Larry Wald Physical Foundaions of MRI Wha is
More informationSolution: b All the terms must have the dimension of acceleration. We see that, indeed, each term has the units of acceleration
PHYS 54 Tes Pracice Soluions Spring 8 Q: [4] Knowing ha in he ne epression a is acceleraion, v is speed, is posiion and is ime, from a dimensional v poin of view, he equaion a is a) incorrec b) correc
More informationDCM for resting state fmri
DCM for resing sae fmri SPM Course Ma 2017 Adeel Razi Wellcome Trus Cenre for Neuroimaging Insiue of Neurolog Universi College London a.razi@ucl.ac.uk www.adeelrazi.org @adeelrazi OUTLINE Inroducion and
More informationChapter Q1. We need to understand Classical wave first. 3/28/2004 H133 Spring
Chaper Q1 Inroducion o Quanum Mechanics End of 19 h Cenury only a few loose ends o wrap up. Led o Relaiviy which you learned abou las quarer Led o Quanum Mechanics (1920 s-30 s and beyond) Behavior of
More information23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes
Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion
More informationSpeaker Adaptation Techniques For Continuous Speech Using Medium and Small Adaptation Data Sets. Constantinos Boulis
Speaker Adapaion Techniques For Coninuous Speech Using Medium and Small Adapaion Daa Ses Consaninos Boulis Ouline of he Presenaion Inroducion o he speaker adapaion problem Maximum Likelihood Sochasic Transformaions
More informationOBJECTIVES OF TIME SERIES ANALYSIS
OBJECTIVES OF TIME SERIES ANALYSIS Undersanding he dynamic or imedependen srucure of he observaions of a single series (univariae analysis) Forecasing of fuure observaions Asceraining he leading, lagging
More informationZürich. ETH Master Course: L Autonomous Mobile Robots Localization II
Roland Siegwar Margaria Chli Paul Furgale Marco Huer Marin Rufli Davide Scaramuzza ETH Maser Course: 151-0854-00L Auonomous Mobile Robos Localizaion II ACT and SEE For all do, (predicion updae / ACT),
More informationKey points. Energy Storage. Kinetic Energy -E K orke 1/23/2018. Energy Storage and Transfer Model (ETM)
Key poins Energy Sorage and Transfer Model (ETM) Uni 7 Energy-a conserved, subsance-like quaniy wih he capabiliy o produce change in physical sysems I does no come in differen forms i s jus energy. I s
More informationPrecalculus An Investigation of Functions
Precalculus An Invesigaion of Funcions David Lippman Melonie Rasmussen Ediion.3 This book is also available o read free online a hp://www.openexbooksore.com/precalc/ If you wan a prined copy, buying from
More informationThis is an example to show you how SMath can calculate the movement of kinematic mechanisms.
Dec :5:6 - Kinemaics model of Simple Arm.sm This file is provided for educaional purposes as guidance for he use of he sofware ool. I is no guaraeed o be free from errors or ommissions. The mehods and
More informationQ.1 Define work and its unit?
CHP # 6 ORK AND ENERGY Q.1 Define work and is uni? A. ORK I can be define as when we applied a force on a body and he body covers a disance in he direcion of force, hen we say ha work is done. I is a scalar
More informationA quantum method to test the existence of consciousness
A quanum mehod o es he exisence of consciousness Gao Shan The Scieniss Work Team of Elecro-Magneic Wave Velociy, Chinese Insiue of Elecronics -0, NO.0 Building, YueTan XiJie DongLi, XiCheng Disric Beijing
More informationContent-Based Shape Retrieval Using Different Shape Descriptors: A Comparative Study Dengsheng Zhang and Guojun Lu
Conen-Based Shape Rerieval Using Differen Shape Descripors: A Comparaive Sudy Dengsheng Zhang and Guojun Lu Gippsland School of Compuing and Informaion Technology Monash Universiy Churchill, Vicoria 3842
More informationEE243 Advanced Electromagnetic Theory Lec # 13: Waveguides and sources
Applied M Fall 6, Neureuher Lecure #3 er /8/6 43 Advanced lecromagneic Theor Lec # 3: Waveguides and sources Source Free Region: ecor Poenials A and F Single direcion componen of A and F Give TM and T
More informationEchocardiography Project and Finite Fourier Series
Echocardiography Projec and Finie Fourier Series 1 U M An echocardiagram is a plo of how a porion of he hear moves as he funcion of ime over he one or more hearbea cycles If he hearbea repeas iself every
More informationKriging Models Predicting Atrazine Concentrations in Surface Water Draining Agricultural Watersheds
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Kriging Models Predicing Arazine Concenraions in Surface Waer Draining Agriculural Waersheds Paul L. Mosquin, Jeremy Aldworh, Wenlin Chen Supplemenal Maerial Number
More informationMath Wednesday March 3, , 4.3: First order systems of Differential Equations Why you should expect existence and uniqueness for the IVP
Mah 2280 Wednesda March 3, 200 4., 4.3: Firs order ssems of Differenial Equaions Wh ou should epec eisence and uniqueness for he IVP Eample: Consider he iniial value problem relaed o page 4 of his eserda
More informationNavneet Saini, Mayank Goyal, Vishal Bansal (2013); Term Project AML310; Indian Institute of Technology Delhi
Creep in Viscoelasic Subsances Numerical mehods o calculae he coefficiens of he Prony equaion using creep es daa and Herediary Inegrals Mehod Navnee Saini, Mayank Goyal, Vishal Bansal (23); Term Projec
More information1 Nuclear particles and nuclear radiation may cause ionisation as they pass through matter.
1 uclear paricles and nuclear radiaion may cause ionisaion as hey pass hrough maer. Which of he following is he mos ionising? A α paricles B β paricles C γ rays D neurons 2 An unsable nucleus recoils as
More information!!"#"$%&#'()!"#&'(*%)+,&',-)./0)1-*23)
"#"$%&#'()"#&'(*%)+,&',-)./)1-*) #$%&'()*+,&',-.%,/)*+,-&1*#$)()5*6$+$%*,7&*-'-&1*(,-&*6&,7.$%$+*&%'(*8$&',-,%'-&1*(,-&*6&,79*(&,%: ;..,*&1$&$.$%&'()*1$$.,'&',-9*(&,%)?%*,('&5
More informationAccurate RMS Calculations for Periodic Signals by. Trapezoidal Rule with the Least Data Amount
Adv. Sudies Theor. Phys., Vol. 7, 3, no., 3-33 HIKARI Ld, www.m-hikari.com hp://dx.doi.org/.988/asp.3.3999 Accurae RS Calculaions for Periodic Signals by Trapezoidal Rule wih he Leas Daa Amoun Sompop Poomjan,
More informationSequential Importance Resampling (SIR) Particle Filter
Paricle Filers++ Pieer Abbeel UC Berkeley EECS Many slides adaped from Thrun, Burgard and Fox, Probabilisic Roboics 1. Algorihm paricle_filer( S -1, u, z ): 2. Sequenial Imporance Resampling (SIR) Paricle
More informationBias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé
Bias in Condiional and Uncondiional Fixed Effecs Logi Esimaion: a Correcion * Tom Coupé Economics Educaion and Research Consorium, Naional Universiy of Kyiv Mohyla Academy Address: Vul Voloska 10, 04070
More informationKey points. Unit 7. Kinetic Energy -E K orke. Energy Storage 1/24/2017. Describing the Interaction between energy and matter continued
Key poins Uni 7 Energy Sorage and Transfer Model Energy-a conserved, subsance-like quaniy wih he capabiliy o produce change in physical sysems I does no come in differen forms i s jus energy. I s sored
More informationChapter 1 Rotational dynamics 1.1 Angular acceleration
Chaper Roaional dynamics. Angular acceleraion Learning objecives: Wha do we mean by angular acceleraion? How can we calculae he angular acceleraion of a roaing objec when i speeds up or slows down? How
More informationLecture 12: Multiple Hypothesis Testing
ECE 830 Fall 00 Saisical Signal Processing insrucor: R. Nowak, scribe: Xinjue Yu Lecure : Muliple Hypohesis Tesing Inroducion In many applicaions we consider muliple hypohesis es a he same ime. Example
More informationMore Digital Logic. t p output. Low-to-high and high-to-low transitions could have different t p. V in (t)
EECS 4 Spring 23 Lecure 2 EECS 4 Spring 23 Lecure 2 More igial Logic Gae delay and signal propagaion Clocked circui elemens (flip-flop) Wriing a word o memory Simplifying digial circuis: Karnaugh maps
More informationRobust estimation based on the first- and third-moment restrictions of the power transformation model
h Inernaional Congress on Modelling and Simulaion, Adelaide, Ausralia, 6 December 3 www.mssanz.org.au/modsim3 Robus esimaion based on he firs- and hird-momen resricions of he power ransformaion Nawaa,
More informationBasic Circuit Elements Professor J R Lucas November 2001
Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions
More informationIB Physics Kinematics Worksheet
IB Physics Kinemaics Workshee Wrie full soluions and noes for muliple choice answers. Do no use a calculaor for muliple choice answers. 1. Which of he following is a correc definiion of average acceleraion?
More informationClass Meeting # 10: Introduction to the Wave Equation
MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion
More informationIntegration of the equation of motion with respect to time rather than displacement leads to the equations of impulse and momentum.
Inegraion of he equaion of moion wih respec o ime raher han displacemen leads o he equaions of impulse and momenum. These equaions greal faciliae he soluion of man problems in which he applied forces ac
More informationSpring Ammar Abu-Hudrouss Islamic University Gaza
Chaper 7 Reed-Solomon Code Spring 9 Ammar Abu-Hudrouss Islamic Universiy Gaza ١ Inroducion A Reed Solomon code is a special case of a BCH code in which he lengh of he code is one less han he size of he
More informationNotes on MRI, Part III
BME 483 MRI Noes 3: page 1 Noes on MRI Par III 1D Iaging Frequenc Encoding radiens ac o seup a one-o-one correspondence beween frequenc and spaial posiion. This is nown as frequenc encoding. For eaple:
More informationAP Chemistry--Chapter 12: Chemical Kinetics
AP Chemisry--Chaper 12: Chemical Kineics I. Reacion Raes A. The area of chemisry ha deals wih reacion raes, or how fas a reacion occurs, is called chemical kineics. B. The rae of reacion depends on he
More informationChapter 3 (Lectures 12, 13 and 14) Longitudinal stick free static stability and control
Fligh dynamics II Sabiliy and conrol haper 3 (Lecures 1, 13 and 14) Longiudinal sick free saic sabiliy and conrol Keywords : inge momen and is variaion wih ail angle, elevaor deflecion and ab deflecion
More information