Paper
12 May 2004 Image-space automatic motion correction for MRI images
Armando Manduca, David S. Lake, Natalia Khaylova, Richard L. Ehman
Author Affiliations +
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.
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Armando Manduca, David S. Lake, Natalia Khaylova, and Richard L. Ehman "Image-space automatic motion correction for MRI images", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.532952
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KEYWORDS
Image quality

Magnetic resonance imaging

Image analysis

Quantization

Motion measurement

Quality measurement

Spine

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