Parallel imaging
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Parallel Imaging. SMASH and SENSE High field advantage Pros and cons … But first, review of last few homework assignments. Bibliography: parallel imaging. Original SMASH and SENSE papers

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Parallel Imaging

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Parallel imaging

Parallel Imaging

  • SMASH and SENSE

  • High field advantage

  • Pros and cons…

  • But first, review of last few homework assignments

Parallel Imaging


Bibliography parallel imaging

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 44:243-251.

    • 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 53:177-185.

    • 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.

Parallel Imaging


Parallel imaging simplistic overview

Parallel Imaging – simplistic overview

Coil sensitivity maps

Partial k-space data from 2 coils

Reconstructed image

+

=

Parallel Imaging


Undersampled k space aliased image

Undersampled k-space = aliased image

Full k-space

Undersampled k-space

Reconstructed image

Parallel Imaging


Multiple coils information to fix aliasing

Multiple coils = information to fix aliasing

Coils with complementary sensitivities

Full k-space

Undersampled k-space

Parallel Imaging


Parallel imaging sense

Parallel Imaging – SENSE

ACQUIRE

RECONSTRUCT

COMBINE

Coil sensitivity, partial k-space

Images from each coil

Images from all coils, using coil sensitivity maps

Parallel Imaging


Parallel imaging smash

Parallel Imaging – SMASH

ACQUIRE

RECONSTRUCT

COMBINE

Coil sensitivity, partial k-space

Missing lines of k-space, using coil sensitivity maps

Images from all coils

Parallel Imaging


Sense recon idealized example

SENSE recon: idealized example

L1(x,y)

Reconstructed 

Ln(x,y) = Cn(x,y)*(x,y) + Cn(x,y+NPE/2)*(x,y+NPE/2)

Parallel Imaging


Pineapple fake 2 channel coil noise

Pineapple: fake 2-channel coil, noise

(with perfect knowledge of coil sensitivity)

Parallel Imaging


Pineapple fake 2 channel coil noise1

Pineapple: fake 2-channel coil, noise

(with imperfect knowledge of coil sensitivity)

Parallel Imaging


Pineapple fake 2 channel coil not ind

Pineapple: fake 2-channel coil, not ind.

Parallel Imaging


Parallel imaging terminology

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 …

Parallel Imaging


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