Reduced encoding of diffusion spectrum imaging with cross-term correction

C. P. Lin; W. Y.I. Tseng; J. C. Weng; V. J. Wedeen; J. H. Chen

doi:10.1109/CNE.2003.1196888

Reduced encoding of diffusion spectrum imaging with cross-term correction

C. P. Lin
, W. Y.I. Tseng
, J. C. Weng
, V. J. Wedeen
, J. H. Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Diffusion Spectrum MRI (DSI) has been demonstrated to be capable of defining orientations of intersecting fibers accurately. However, the scanning procedure is overly time-consuming under the current sampling scheme. We developed a reduced encoding scheme of DSI and proved that decreasing the acquisition points to 62% is feasible by diffusion cross-term correction. We calculated the diffusion cross-term from the acquired data in the center of q space by assuming that image corresponding to any diffusion encoding direction suffers b values from diffusion gradients, imaging gradients and the cross-term between diffusion gradients and imaging gradients. The data in outer q space was then corrected with diffusion cross-term and filled by the data acquired with opposite diffusion gradients according to the geometric symmetry of diffusion anisotropy. Both ex-vivo crossing capillaries phantom and ex-vivo rat brain models showed that this method can decrease DSI acquisition time while preserving the patterns and orientations of probability density function.

Original language	English
Title of host publication	Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering
Editors	Laura J. Wolf, Jodi L. Strock
Publisher	IEEE Computer Society
Pages	561-563
Number of pages	3
ISBN (Electronic)	0780375793
DOIs	https://doi.org/10.1109/CNE.2003.1196888
State	Published - 2003
Externally published	Yes
Event	1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy Duration: 20 03 2003 → 22 03 2003

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2003-January
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Conference

Conference	1st International IEEE EMBS Conference on Neural Engineering
Country/Territory	Italy
City	Capri Island
Period	20/03/03 → 22/03/03

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

Keywords

Anisotropic magnetoresistance
Biomedical imaging
Brain modeling
Encoding
Image coding
Imaging phantoms
Magnetic resonance imaging
Probability density function
Protons
Rats

Access to Document

10.1109/CNE.2003.1196888

Cite this

Lin, C. P., Tseng, W. Y. I., Weng, J. C., Wedeen, V. J., & Chen, J. H. (2003). Reduced encoding of diffusion spectrum imaging with cross-term correction. In L. J. Wolf, & J. L. Strock (Eds.), Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering (pp. 561-563). Article 1196888 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196888

@inproceedings{80c1d94d3e4b42689c5091d86a0d3596,

title = "Reduced encoding of diffusion spectrum imaging with cross-term correction",

abstract = "Diffusion Spectrum MRI (DSI) has been demonstrated to be capable of defining orientations of intersecting fibers accurately. However, the scanning procedure is overly time-consuming under the current sampling scheme. We developed a reduced encoding scheme of DSI and proved that decreasing the acquisition points to 62\% is feasible by diffusion cross-term correction. We calculated the diffusion cross-term from the acquired data in the center of q space by assuming that image corresponding to any diffusion encoding direction suffers b values from diffusion gradients, imaging gradients and the cross-term between diffusion gradients and imaging gradients. The data in outer q space was then corrected with diffusion cross-term and filled by the data acquired with opposite diffusion gradients according to the geometric symmetry of diffusion anisotropy. Both ex-vivo crossing capillaries phantom and ex-vivo rat brain models showed that this method can decrease DSI acquisition time while preserving the patterns and orientations of probability density function.",

keywords = "Anisotropic magnetoresistance, Biomedical imaging, Brain modeling, Encoding, Image coding, Imaging phantoms, Magnetic resonance imaging, Probability density function, Protons, Rats",

author = "Lin, \{C. P.\} and Tseng, \{W. Y.I.\} and Weng, \{J. C.\} and Wedeen, \{V. J.\} and Chen, \{J. H.\}",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 1st International IEEE EMBS Conference on Neural Engineering ; Conference date: 20-03-2003 Through 22-03-2003",

year = "2003",

doi = "10.1109/CNE.2003.1196888",

language = "英语",

series = "International IEEE/EMBS Conference on Neural Engineering, NER",

publisher = "IEEE Computer Society",

pages = "561--563",

editor = "Wolf, \{Laura J.\} and Strock, \{Jodi L.\}",

booktitle = "Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering",

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}

Lin, CP, Tseng, WYI, Weng, JC, Wedeen, VJ & Chen, JH 2003, Reduced encoding of diffusion spectrum imaging with cross-term correction. in LJ Wolf & JL Strock (eds), Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering., 1196888, International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2003-January, IEEE Computer Society, pp. 561-563, 1st International IEEE EMBS Conference on Neural Engineering, Capri Island, Italy, 20/03/03. https://doi.org/10.1109/CNE.2003.1196888

Reduced encoding of diffusion spectrum imaging with cross-term correction. / Lin, C. P.; Tseng, W. Y.I.; Weng, J. C. et al.
Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering. ed. / Laura J. Wolf; Jodi L. Strock. IEEE Computer Society, 2003. p. 561-563 1196888 (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2003-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Reduced encoding of diffusion spectrum imaging with cross-term correction

AU - Lin, C. P.

AU - Tseng, W. Y.I.

AU - Weng, J. C.

AU - Wedeen, V. J.

AU - Chen, J. H.

PY - 2003

Y1 - 2003

N2 - Diffusion Spectrum MRI (DSI) has been demonstrated to be capable of defining orientations of intersecting fibers accurately. However, the scanning procedure is overly time-consuming under the current sampling scheme. We developed a reduced encoding scheme of DSI and proved that decreasing the acquisition points to 62% is feasible by diffusion cross-term correction. We calculated the diffusion cross-term from the acquired data in the center of q space by assuming that image corresponding to any diffusion encoding direction suffers b values from diffusion gradients, imaging gradients and the cross-term between diffusion gradients and imaging gradients. The data in outer q space was then corrected with diffusion cross-term and filled by the data acquired with opposite diffusion gradients according to the geometric symmetry of diffusion anisotropy. Both ex-vivo crossing capillaries phantom and ex-vivo rat brain models showed that this method can decrease DSI acquisition time while preserving the patterns and orientations of probability density function.

AB - Diffusion Spectrum MRI (DSI) has been demonstrated to be capable of defining orientations of intersecting fibers accurately. However, the scanning procedure is overly time-consuming under the current sampling scheme. We developed a reduced encoding scheme of DSI and proved that decreasing the acquisition points to 62% is feasible by diffusion cross-term correction. We calculated the diffusion cross-term from the acquired data in the center of q space by assuming that image corresponding to any diffusion encoding direction suffers b values from diffusion gradients, imaging gradients and the cross-term between diffusion gradients and imaging gradients. The data in outer q space was then corrected with diffusion cross-term and filled by the data acquired with opposite diffusion gradients according to the geometric symmetry of diffusion anisotropy. Both ex-vivo crossing capillaries phantom and ex-vivo rat brain models showed that this method can decrease DSI acquisition time while preserving the patterns and orientations of probability density function.

KW - Anisotropic magnetoresistance

KW - Biomedical imaging

KW - Brain modeling

KW - Encoding

KW - Image coding

KW - Imaging phantoms

KW - Magnetic resonance imaging

KW - Probability density function

KW - Protons

KW - Rats

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DO - 10.1109/CNE.2003.1196888

M3 - 会议稿件

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EP - 563

BT - Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering

A2 - Wolf, Laura J.

A2 - Strock, Jodi L.

PB - IEEE Computer Society

T2 - 1st International IEEE EMBS Conference on Neural Engineering

Y2 - 20 March 2003 through 22 March 2003

ER -

Lin CP, Tseng WYI, Weng JC, Wedeen VJ, Chen JH. Reduced encoding of diffusion spectrum imaging with cross-term correction. In Wolf LJ, Strock JL, editors, Conference Proceedings - 1st International IEEE EMBS Conference on Neural Engineering. IEEE Computer Society. 2003. p. 561-563. 1196888. (International IEEE/EMBS Conference on Neural Engineering, NER). doi: 10.1109/CNE.2003.1196888

Reduced encoding of diffusion spectrum imaging with cross-term correction

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Publication series

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Keywords

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