Image space automatic motion correction for MRI images

Armando Manduca; David S. Lake; Natalia Khaylova; Richard L. Ehman

doi:10.1117/12.532952

Image space automatic motion correction for MRI images

Armando Manduca, David S. Lake, Natalia Khaylova, Richard L. Ehman

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English (US)
Pages (from-to)	390-397
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5370 I
DOIs	https://doi.org/10.1117/12.532952
State	Published - 2004
Event	Progress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing - San Diego, CA, United States Duration: Feb 16 2004 → Feb 19 2004

Keywords

Image quality
MRI
Motion artifacts
Motion correction
Optimization

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.532952

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title = "Image space automatic motion correction for MRI images",

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.",

keywords = "Image quality, MRI, Motion artifacts, Motion correction, Optimization",

author = "Armando Manduca and Lake, {David S.} and Natalia Khaylova and Ehman, {Richard L.}",

year = "2004",

doi = "10.1117/12.532952",

language = "English (US)",

volume = "5370 I",

pages = "390--397",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Progress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing ; Conference date: 16-02-2004 Through 19-02-2004",

}

TY - JOUR

T1 - Image space automatic motion correction for MRI images

AU - Manduca, Armando

AU - Lake, David S.

AU - Khaylova, Natalia

AU - Ehman, Richard L.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Image quality

KW - MRI

KW - Motion artifacts

KW - Motion correction

KW - Optimization

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U2 - 10.1117/12.532952

DO - 10.1117/12.532952

M3 - Conference article

AN - SCOPUS:5644243326

SN - 0277-786X

VL - 5370 I

SP - 390

EP - 397

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Progress in Biomedical Optics and Imaging - Medical Imaging 2004: Imaging Processing

Y2 - 16 February 2004 through 19 February 2004

ER -

Image space automatic motion correction for MRI images

Abstract

Keywords

ASJC Scopus subject areas

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