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SMASH%20and%20SENSE

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SMASH and SENSE. High field advantage. Pros ... Original SMASH and SENSE papers ... Tailored SMASH image reconstructions for robust in vivo parallel MR imaging. ... – PowerPoint PPT presentation

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Title: SMASH%20and%20SENSE


1
Parallel Imaging
  • SMASH and SENSE
  • High field advantage
  • Pros and cons
  • But first, review of last few homework assignments

2
Bibliography parallel imaging
  • Original SMASH and SENSE papers
  • Griswold MA, Jakob PM, Chen Q, Goldfarb JW,
    Manning WJ, Edelman RR, Sodickson DK (1999).
    Resolution enhancement in single-shot imaging
    using simultaneous acquisition of spatial
    harmonics (SMASH). Magn Reson Med. 41(6)1236-45.
  • Pruessmann KP, Weiger M, Scheidegger MB, Boesiger
    P (1999). SENSE sensitivity encoding for fast
    MRI. Magn Reson Med. 42(5)952-62.
  • Additional references
  • Sodickson, DK (2000). Tailored SMASH image
    reconstructions for robust in vivo parallel MR
    imaging. Magn Reson Med 44243-251.
  • Weiger, M, Boesiger, P, Hilfiker, PR, Weishaupt,
    D, Pruessmann, KP (2005). Sensitivity encoding as
    a means of enhancing the SNR efficiency in
    steady-state MRI. Magn Reson Med 53177-185.
  • Griswold MA, Jakob PM, Heidemann RM, Nittka M,
    Jellus V, Wang J, Kiefer B, Haase A. (2002).
    Generalized autocalibrating partially parallel
    acquisitions (GRAPPA). Magn Reson Med.
    47(6)1202-1210.
  • Sodickson, DK, McKenzie, CA (2001). A generalized
    approach to parallel magnetic resonance imaging.
    Med Phys 28(8)1629.

3
Parallel Imaging simplistic overview
Coil sensitivity maps
Partial k-space data from 2 coils
Reconstructed image


4
Undersampled k-space aliased image
Full k-space
Undersampled k-space
Reconstructed image
5
Multiple coils information to fix aliasing
Coils with complementary sensitivities
Full k-space
Undersampled k-space
6
Parallel Imaging SENSE
RECONSTRUCT
ACQUIRE
COMBINE
Coil sensitivity, partial k-space
Images from each coil
Images from all coils, using coil sensitivity maps
7
Parallel Imaging SMASH
RECONSTRUCT
ACQUIRE
COMBINE
Coil sensitivity, partial k-space
Missing lines of k-space, using coil sensitivity
maps
Images from all coils
8
SENSE recon idealized example
L1(x,y)
Reconstructed ?
Ln(x,y) Cn(x,y)?(x,y) Cn(x,yNPE/2)?(x,yNPE
/2)
9
Pineapple fake 2-channel coil, noise
(with perfect knowledge of coil sensitivity)
10
Pineapple fake 2-channel coil, noise
(with imperfect knowledge of coil sensitivity)
11
Pineapple fake 2-channel coil, not ind.
12
Parallel imaging terminology
  • Methods
  • iPAT Siemens name for all of its parallel
    imaging implementations
  • SENSE
  • SMASH
  • GRAPPA auto-calibrating SMASH-like technique
  • Parameters
  • Reduction factor integer describing k-space
    undersampling
  • g describes degradation of reconstructed image
    due to lack of independence between coil
    sensitivities (limits useful reduction factor)
  • High field advantage
  • of course
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