Generalized MRI reconstruction with correction for multiple...

Details Generalized MRI reconstruction with correction for multiple... Generalized MRI reconstruction with correction for multiple...

2006-02-06

2008-08-05

Shrivastav, Brij (Department: 2859)

Electricity: measuring and testing

Particle precession resonance

Using a nuclear resonance spectrometer system

C324S309000

Reexamination Certificate

active

07408345

ABSTRACT:
Disclosed is an effective algorithm to correct motion-induced phase error using an iterative reconstruction. Using a conjugate-gradient (CG) algorithm, the phase error is treated as an image encoding function. Given the complex perturbation terms, diffusion-weighted images can be reconstructed using an augmented sensitivity map. The mathematical formulation and image reconstruction procedures are similar to the SENSE reconstruction. By defining a dynamic composition sensitivity, the CG phase correction method can be conveniently incorporated with SENSE reconstruction for the application of multi-shot SENSE DWI. Effective phase correction and multi-shot SENSE DWI (R=1 to 3) are demonstrated on both simulated and in vivo data acquired with PROPELLER and SNAILS.

REFERENCES:
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patent: 2007/0182411 (2007-08-01), Bammer et al.
Rasche et al, “Resampling of Data Between Arbitrary Grids Using Convolution Interpolation,” IEEE Transactions On Medical Imaging, vol. 18, No. 5, May 1999.
Pruessmann et al., “Advances in Sensitivity Encoding With Arbitrary k-Space Trajectories,” Magnetic Resonance in Medicine 46:638-651 (2001).
Jackson et al., “Selection of a Convolution Function for Fourier Inversion Using Gridding,” IEEE Trans. Med. Imaging, 1991; 10:473-478.
Bammer et al., “Analysis and Generalized Correction of the Effect of Spatial Gradient Field Distortions in Diffusion-Weighted Imaging,” Magnetic Resonance in Medicine 50:560-569 (2003).

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