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Proceedings Paper

Image-space automatic motion correction for MRI images
Author(s): Armando Manduca; David S. Lake; Natalia Khaylova; Richard L. Ehman
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Paper Abstract

Automatic retrospective motion correction algorithms based on iterative optimization of an image quality measure have been demonstrated in a variety of MRI acquisitions. These algorithms are computationally intensive and may require several minutes per image or more. One computational bottleneck is the need for an inverse FFT at each iteration to reconstruct and evaluate the image. We describe a method for performing the iterative search primarily in image space, greatly reducing the number of FFTs required. This can significantly increase the computational speed, particularly when the evaluation is performed only on a sub-region of the image.

Paper Details

Date Published: 12 May 2004
PDF: 8 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.532952
Show Author Affiliations
Armando Manduca, Mayo Clinic College of Medicine (United States)
David S. Lake, Mayo Clinic College of Medicine (United States)
Natalia Khaylova, Mayo Clinic College of Medicine (United States)
Richard L. Ehman, Mayo Clinic College of Medicine (United States)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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