Sequence Overview. Gradient Echo Spin Echo Magnetization Preparation Sampling and Trajectories Parallel Imaging. B.Hargreaves - RAD 229

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Transcription:

Sequence Overview Gradient Echo Spin Echo Magnetization Preparation Sampling and Trajectories Parallel Imaging 75

Pulse Sequences and k-space RF k y G z k x G x 3D k-space G y k y k z Acq. k x 76

Gradient Echo Pulse Sequence Flip Angle RF TE ~ 1+ ms G z G y G x Signal 77 Slice-Select Gradient Phase- Encode Gradient Dephaser Gradient Refocusing Gradient Gradient Echo Readout Gradient???

RF-Spoiled Gradient Echo Contrasts Gradient Spoiled Balanced SSFP 5 10 20 30 40 50 78

Spin Echo: T 2 and T 2 * Decay Gradient Echo Spin Echo Courtesy of Kim Butts Pauly 79

Spin Echo Pulse Sequence RF 180º TE ~ 8+ ms G z Slice-Select Gradient Slice-Select Gradient G y G x Signal 80

Basic Spin Echo Considerations Pros: Refocusing pulse reverses dephasing Image acquired at spin echo increases signal Cons: RF power deposition (SAR) Longer echo times than gradient echo (GRE) 81

Echo Train Imaging RF Signal k y k y k x k x 82 PD-weighted k-space T2-weighted k-space

Echo Train Order and Contrast Proton-Density: high signal but blurring T2-weighted: edge enhancement 3D offers more options Proton Density Weighted T2 Weighted 83

Single-Shot FSE (SSFSE, HASTE) Entire image acquired in single echo train Lower resolution Significant echo-train blurring Robust to motion RF... 84

Fast Recovery (FR) or Driven Equilibrium RF G z G y 180º 180º 180º 90º -90º...... Fast-Recovery... G x... Signal 85...

Preparation Sequences Acquisition method may not give desired contrast Prep block adds contrast MP-RAGE = Magnetization prepared rapid acquisition with gradient echo (Mugler, ~1990) Inversion-recovery (IR) prep Fat saturation T2-prep Diffusion-weighted imaging 86

Fat-Saturated FSE RF 90º 180º 180º... G z... G y Fat-Sat... G x... Signal... 87

Fat Saturated PD vs T1 FSE Fat-Saturated PD T1 FSE 88

RF Inversion-Recovery TI 180º 180º 90º 1 Signal 0-1 Fat suppression based on T 1 Short TI Inversion Recovery (STIR) 89

Fat Suppression near B0 Inhomogeneity 90 Fat Sat STIR

Fluid Attenuated Inversion-Recovery TI 180º 180º RF 1 Signal 0-1 Fluid suppression based on T 1 FLAIR 91

Long Inversion Time (TI) - FLAIR Long TI suppresses fluid signal 92

Mag-Prep: Inflow-enhanced MRA Preparation: Background Suppression Fat Suppression 93

T2-Prep (Enhance T2 contrast) RF G z 180º 180º 90º -90º Regular Imaging Sequence 94 T2-prep + Fat-Sat Renal Artery

T2-Prep: Flow-Independent Angiography Inversion: Suppress synovial fluid T2-prep: Arterial-venous contrast No Prep T2-prep + IR prep 95

Diffusion-Weighted Imaging (DWI) RF 180º G z No Diffusion 96

Diffusion-Weighted Imaging (DWI) RF 180º G z Diffusing Spins 97

Diffusion-Weighted Imaging (DWI) Low b-value High b-value ADC T2 FSE 98

Phase Contrast RF G z Frequency Position = (x Z Phase is not zero! (any position) G x dt + x 0 Z G x tdt) x Zero Moment First Moment 99

Flow Encoded Imaging 100 Marcus Alley Krishna Nayak

Magnetization Transfer (MT) Saturate very-short-t2 water bound to macromolecules MT effect causes saturation of free water (signal loss) More RF generally causes more MT saturation (adverse) Courtesy of Feliks Kogan 101 Henkelman RM et al. NMR in Biomedicine 2001; 14(2):57-64.

Sampling & Point-Spread Functions PSF = Fourier transform of sampling pattern Also just 1 s at all sample points Simple, mostly a matter of scaling in both domains k-space Sampling Point-Spread Function Fourier Transform Extent Spacing Width FOV 102

Partial Fourier Acquisition/Reconstruction k y k y k x k x k y k x 103

Alternate k-space Trajectories k y k y k y k x k x k x Cartesian EPI Spiral k y k y k x k x 104 Radial Projection

Parallel Imaging Coils have limited sensitivity Unalias based on known sensitivities (SENSE) Limited sensitivity results in k-space correlations Fill in missing k-space (GRAPPA) Build up FOV with coil arrays 105

SENSE: Unalias Image Sensitivity 1 (S 1 ) Sensitivitiy 2 (S 2 ) Pruessmann 1999 SENSE Image A A A B B B Coil 1 Signal (C 1 ) Coil 2 Signal (C 2 ) When it fails A A B B 106

SENSE: Brief Mathematics At each pixel Using Coil 1: Using Coil 2: S1 = C1A x A + C1B x B S2 = C2A x A + C2B x B A B If we know C1 and C2 at A,B and signals S1 and S2, A = C1B S2 - C2B S1 C2AC1B - C2BC1A B = C2A S1 - C1A S2 C2AC1B - C2BC1A More complicated with more than 2 coils If denominator is small, noise amplification 107

SENSE Calibration Low-resolution images from each coil Divide images by RMS image or body coil image Challenge: coil sensitivity in area of low signal k phase k read Low Resolution Image 108

GRAPPA: Coil Sensitivities and k-space Reduced Image Extent Blurred Image k y k y k y k x k x k x Blurred k-space Reduced k-space Extent 109

GRAPPA Calibration Fully-sampled central k-space Find data correlation between lines/coils Note: data-driven vs model (SENSE) Not just image vs k-space! k phase Coil 2 Coil 1 Coil 3 Griswold 2002 k read 110 Repeat for all calibration points and all coils

GRAPPA Synthesis Use kernel information to synthesize data Repeat for all coils Combine coils and reconstruct Coil 3 Coil 2 Coil 1 k phase Griswold 2002 k read 111

Summary of Sequence Overview Gradient Echo Sequence Spin Echo sequences Magnetization Preparation Imaging Readouts / Sampling Parallel Imaging 112