Principles of MRI EE225E / BIO265. Instructor: Miki Lustig UC Berkeley, EECS

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Principles of MRI EE225E / BIO265 Instructor: Miki Lustig UC Berkeley, EECS

Today... Administration http://inst.eecs.berkeley.edu/~ee225e/sp16/ Intro to Medical Imaging and MRI

Medical Imaging (Before 1895) Only way to see is to cut!

Medical Imaging (Post 1895) Revolutionized diagnostic medicine See internal anatomy Visualize function Many modalities Many sources of contrast

Basic Concept Energy Source Body Energy Detection Imaging System (Electronics, control, computing, algorithms, visualization...) e.g., Engineering!

Medical Imaging System Requirements Diagnostic contrast Sensitivity Specificity Function High Spatial-resolution High Temporal-resolution Safe Fast Inexpensive Easy to use Can t satisfy all Many modalities Often several used to make diagnosis

Common Imaging Modalities Projection X-Ray (Electromagnetic) Computed Tomography (Electromagnetic) UltraSound (Sound waves) Positron Emission Tomography (Nuclear) Single-Photon Emission Tomography (Nuclear) Magnetic Resonance Imaging (magnetic)

Medical Imaging is Multi-Disciplinary Math Medicine Engineering Physics Biology Chemistry

Engineering Advances 1 st x-ray (1895) x-ray today

Engineering Advances early CT (1975) CT today

Engineering Advances early ultrasound (1959) ultrasound today MRI today

Engineering Advances early MRI (1978) MRI today

Projection X-Ray Projection Format Small Dose Fast Inexpensive Pneumonia Projection

Computed Tomography (CT) Tomographic Fast High-Res Moderate dose ~1M$ abdominal CT Many Projections

Computed Tomography Sinogram cross-section FBP x-ray source

Computed Tomography Gantry rotation http://www.youtube.com/watch?v=4gklqhm19ay&feature=related

Ultrasound Real-time Inexpensive No-radiation Many applications Echo Low contrast and penetration

Anatomy vs Function

Nuclear Medicine Specific metabolic information (function) Low-res High dose 1-2M$ brain metabolism PET SPECT: Gamma radiation PET: Positron-> Gamma

Magnetic Resonance Imaging (MRI) NMR: Nuclear Magnetic Resonance MRI : Magnetic Resonance Imaging please don t say MRI imaging! MRI is VERY VERY VERY different from CT! Cost: 1M-3M, mainly because of the Magnet

History 1946 - Felix Bloch (Stanford) Edward Purcell (Harvard) independently discovered NMR. Nobel Prize (Physics) in 1952. 1971 - Raymond Damadian showed changes in MR parameters (T1 and T2) in cancer. People started thinking about medical NMR applications. 1972 - Invention of CT by Hounsfield and Cormack. Nobel Prize (Medicine) in 1979. 1973 - Lauterbur described MRI in a similar way to CT

History 1975 - Ernst proposed key concepts. Nobel prize (Chemistry) 1991. 1970 s - Mansfield contributes key ideas (slice selection) 1982 - Widespread clinical MRI begins. 2003 - Lauterbur/Mansfield receive Nobel prize (Medicine) for their contributions.

MR Imaging Magnetic resonance imaging has revolutionized medicine Directly visualizes soft tissues in 3D Wide range of contrast mechanisms Tissue character (solid, soft, liquid, fat,...) Diffusion Temperature Flow, velocity Oxygen Saturation

Neuro Examples PD T1 T2 Many different contrasts available K. Pauly, G. Gold Stanford Rad 220

Clinical Example No Contrast Agent Contrast Agent *K. Pauly, G. Gold, RAD220

Body Examples Abdominal Blood Vessels Knee *K. Pauly, G. Gold, RAD220

Cardiac MRI gated real-time *Courtesy Juan Santos

Flow Imaging Examples 4D flow Real-time color flow *Juan Santos, Stanford *Marc Alley, Stanford

Diffusion Examples T2 weighted standard MRI 3 hours after a stroke White matter fibers diffusion weighted MRI 3 hours after a stroke diffusion tensor imaging *Dr. Steven Warach, Beth Israel Hospital, Boston, MA *The Virtual Hospital (www.vh.org); TH Williams, N Gluhbegovic, JY Jew *Brian Wandell, Stanford

Functional MRI Example Sensitivity to blood oxygenation - response to brain activity *Karla Miller, Oxford *Brian Wandell, Stanford

Taking fmri further fmri decoding : Mind Reading Gallant Lab, UC Berkeley

Spectroscopy Imaging Functional Imaging (metabolism) Also other nuclei (13C, phosphor) Tumor pyruvate lactate * P. Larson, D Vigneron, UCSF

Go Bears!

Phase *K. Pauly, G. Gold, RAD220

Breast *K. Pauly, G. Gold, RAD220

Spin-Echo vs Gradient Echo *K. Pauly, G. Gold, RAD220

Chemical-shift *images, courtesy of Brian Hargreaves

Motion Artifacts Pelvic Scan after patient became

` If you have an iphone, please install: Tone Generator app (Michael Heinz)

How Does MRI Work? Magnetic Polarization -- Very strong uniform magnet Excitation -- Very powerful RF transmitter Acquisition -- Location is encoded by gradient magnetic fields -- Very powerful audio amps

Polarization Protons have a magnetic moment Protons have spins Like rotating magnets 1 H

Polarization Body has a lot of protons In a strong magnetic field B0, spins align with B0 giving a net magnetization B 0 *Graphic rendering Bill Overall

Polarizing Magnet 0.1 to 12 Tesla 0.5 to 3 T common 1 T is 10,000 Gauss Earth s field is 0.5G Typically a superconducting magnet B 0

Typical 1.5T MRI System

Polarizaion Polarization results in net magnetization

Free Precession Much like a spinning top Frequency proportional to the field f = 64MhZ @ 1.5T MIT physics demos

Free Precession Precession induces magnetic flux Flux induces voltage in a coil Signal

Intro to MRI - The NMR signal Signal from 1 H (mostly water) Magnetic field Magnetization B 0 Radio frequency Excitation Frequency Magnetic field time frequency γb 0

Intro to MRI - The NMR signal Signal from 1 H (mostly water) Magnetic field Magnetization B 0 Radio frequency Excitation Frequency Magnetic field time frequency γb 0

Intro to MRI - Imaging B 0 Missing spatial information B 0 center time frequency γb 0

Intro to MRI - Imaging B 0 Missing spatial information Add gradient field, G B 0 G time Weaker field center unchanged frequency Stronger field γb 0

Intro to MRI - Imaging B 0 Missing spatial information Add gradient field, G Mapping: spatial position frequency B 0 G center time frequency Fourier Transform 0 Reference (γb 0 )

iphone Imaging

Imaging geometry 3D Volume 3D Slab 2D Sections

Simple Slice Selective Imaging RF Excitation Gz Gy Gx A/D

Slice selection RF G z z ω = γ G z z Slice Profile Frequency ω RF Spectrum

Simple Slice Selective Imaging RF Gz Gy Acquisition Gx A/D

2D Imaging: k-space Gradient fields cause linear phase k-space image space Receive integrated signal give spatial frequency information max velocity max acceleration

2DFT, or spin warp k y G y G x A/D One line of k-space for each acquisition Repeat N times for an NxN image Recon is 2DFT TR 400 ms, 256x256 image < 2 minutes k x

Pulse Sequence 2DFT pulse-sequence

MR Imaging Fourier k-space (Raw Data) Image Fourier transform

Pulse Sequence Spiral pulse-sequence

k-space Sampling - resolution

k-space Sampling - FOV Δk=1/FOV Δk=1/FOV FOV

MRI is all about contrast... http://thundafunda.com

Relaxation Transverse M xy e -t/t2 Time Longitudinal M z 1-e -t/t1 Time

The Toilette Analogy ( 2009 Al Macovski) Excitation = Flush T2 = Active flushing ~5 second T1 = Refilling time ~1min

The Toilette Analogy, Steady-state Flush - Refill Flush continuously Never fully refills After a while, same from flush to flush Steady state Timing creates contrast

Contrast T1 T2

House Prefers T2... You -- Get cervical, thoracic and lumbar T2 weighted Fast Spin-Echo MRIs

MRI at UCSF and Berkeley Berkeley has a 3.0 T Siemens whole body scanner dedicated to Neuroscience at the Helen Wills Neuroscience Institute UCSF has several GE & Siemens scanners (1.5T, 3T and a 7T) Berkeley has Prof. Alex Pines, John Clarke, Tom Budinger, Steve Conolly and myself on the basic NMR/MRI technology UCSF has dozens of MRI researchers Peder Larson, Daniel Vigneron, Xiaoliang Zhang, Duan Xu, John Kurhanewicz, Sarah Nelson, Sharmila Majumdar, David Saloner, Nola Hylton, Michael Wendland, Sabrina Ronen, and Alastair Martin