Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging

The optimization of acquisition parameters for precise measurement of diffusion in anisotropic systems is described. First, an algorithm is presented that minimizes the bias inherent in making measurements with a fixed set of gradient vector directions by spreading out measurements in 3‐dimensional...

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Veröffentlicht in:Magnetic resonance in medicine 1999-09, Vol.42 (3), p.515-525
Hauptverfasser: Jones, D.K., Horsfield, M.A., Simmons, A.
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Horsfield, M.A.
Simmons, A.
description The optimization of acquisition parameters for precise measurement of diffusion in anisotropic systems is described. First, an algorithm is presented that minimizes the bias inherent in making measurements with a fixed set of gradient vector directions by spreading out measurements in 3‐dimensional gradient vector space. Next, it is shown how the set of b—matrices and echo time can be optimized for estimating the diffusion tensor and its scalar invariants. The standard deviation in the estimate of the tensor trace in a water phantom was reduced by more than 40% and the artefactual anisotropy was reduced by more than 60% when using the optimized scheme compared with a more conventional scheme for the same scan time, and marked improvements are demonstrated in the human brain with the optimized sequences. Use of these optimal schemes results in reduced scan times, increased precision, or improved resolution in diffusion tensor images. Magn Reson Med 42:515–525, 1999. © 1999 Wiley‐Liss, Inc.
doi_str_mv 10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO;2-Q
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Reson. Med</addtitle><description>The optimization of acquisition parameters for precise measurement of diffusion in anisotropic systems is described. First, an algorithm is presented that minimizes the bias inherent in making measurements with a fixed set of gradient vector directions by spreading out measurements in 3‐dimensional gradient vector space. Next, it is shown how the set of b—matrices and echo time can be optimized for estimating the diffusion tensor and its scalar invariants. The standard deviation in the estimate of the tensor trace in a water phantom was reduced by more than 40% and the artefactual anisotropy was reduced by more than 60% when using the optimized scheme compared with a more conventional scheme for the same scan time, and marked improvements are demonstrated in the human brain with the optimized sequences. Use of these optimal schemes results in reduced scan times, increased precision, or improved resolution in diffusion tensor images. 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Reson. Med</addtitle><date>1999-09</date><risdate>1999</risdate><volume>42</volume><issue>3</issue><spage>515</spage><epage>525</epage><pages>515-525</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><coden>MRMEEN</coden><abstract>The optimization of acquisition parameters for precise measurement of diffusion in anisotropic systems is described. First, an algorithm is presented that minimizes the bias inherent in making measurements with a fixed set of gradient vector directions by spreading out measurements in 3‐dimensional gradient vector space. Next, it is shown how the set of b—matrices and echo time can be optimized for estimating the diffusion tensor and its scalar invariants. 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source Wiley Free Content; MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adult
Algorithms
Anisotropy
Biological and medical sciences
Brain - anatomy & histology
Diffusion
diffusion tensor
Humans
Investigative techniques, diagnostic techniques (general aspects)
Linear Models
magnetic resonance
Magnetic Resonance Imaging - methods
Medical sciences
Miscellaneous. Technology
Models, Structural
optimization
Phantoms, Imaging
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Water
title Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging
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