Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI

M Mani; M Jacob; A Guidon; V Magnotta; Jianhui Zhong

doi:10.1109/ISBI.2012.6235570

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Conference proceeding

Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI

M Mani, M Jacob, A Guidon, V Magnotta and Jianhui Zhong

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.406-409

05/2012

DOI: 10.1109/ISBI.2012.6235570

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Abstract

Multi-shot sequences are often combined with techniques such as parallel imaging to achieve high fidelity images. For non-Cartesian sampling schemes, the reconstruction of such data becomes extremely computationally intensive. The problem of motion compensated SENSE reconstruction of non-Cartesian diffusion weighted images falls into a similar setting, when phase corrections are involved. Here we propose a new pipeline for the fast reconstruction of such data. The large array of composite sensitivity functions are replaced by a low-dimensional set of virtual sensitivity functions using a principal component analysis, thus enabling the evaluation of very few Fourier transforms. The time consuming gridding steps are replaced by a more efficient multiplication in the k-space, enabling further simplifications. Significant acceleration of reconstruction time is shown to be achieved with the new scheme. The algorithm in the general setting can accelerate SENSE reconstruction for large coil arrays.

Magnetic Resonance Imaging

Coils

composite sensitivity

Sensitivity

Fourier transforms

non-linear phase correction

Acceleration

SENSE

Image reconstruction

Niobium

Details

Title: Subtitle: Accelerating non-Cartesian sense for large coil arrays: Application to motion compensation in multishot DWI
Creators: M Mani - Univ. of Rochester, Rochester, NY, USA
M Jacob - Univ. of Iowa, Iowa City, IA, USA
A Guidon - Duke Univ., Durham, NC, USA
V Magnotta - Univ. of Iowa, Iowa City, IA, USA
Jianhui Zhong - Univ. of Rochester, Rochester, NY, USA
Resource Type: Conference proceeding
Publication Details: 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.406-409
Publisher: IEEE
DOI: 10.1109/ISBI.2012.6235570
ISSN: 1945-7928
eISSN: 1945-8452
Language: English
Date published: 05/2012
Academic Unit: Psychiatry; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Radiology; Iowa Neuroscience Institute; Radiation Oncology
Record Identifier: 9984070690302771

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