Classification of non-Gaussian diffusion profiles for HARDI data simplification

A. Vilanova; V. Prckovska; C. Poupon; B.M. Haar Romenij, ter; M. Descoteaux

Classification of non-Gaussian diffusion profiles for HARDI data simplification

A. Vilanova, V. Prckovska, C. Poupon, B.M. Haar Romenij, ter, M. Descoteaux

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

Abstract

High angular resolution diffusion imaging (HARDI) is able to capture the water diffusion pattern in areas of complex intravoxel fiber configurations. However, compared to diffusion tensor imaging (DTI), HARDI adds extra complexity (e.g., high post-processing time and memory costs, nonintuitive visualization). Separating the data into Gaussian and non-Gaussian areas can allow using complex HARDI models just when it is necessary. We study HARDI anisotropy measures as classification criteria applied to different HARDI models. The chosen measures are fast to calculate and provide interactive data classification.

Original language	English
Title of host publication	Proceedings of the 2nd Annual Meeting of the Benelux ISMRM Chapter, 18 January 2010, Utrecht, The Netherlands
Place of Publication	Netherlands, Utrecht
Pages	25-
Publication status	Published - 2010

Cite this

@inproceedings{5264f059d56a466c9d4b984201d1416d,

title = "Classification of non-Gaussian diffusion profiles for HARDI data simplification",

abstract = "High angular resolution diffusion imaging (HARDI) is able to capture the water diffusion pattern in areas of complex intravoxel fiber configurations. However, compared to diffusion tensor imaging (DTI), HARDI adds extra complexity (e.g., high post-processing time and memory costs, nonintuitive visualization). Separating the data into Gaussian and non-Gaussian areas can allow using complex HARDI models just when it is necessary. We study HARDI anisotropy measures as classification criteria applied to different HARDI models. The chosen measures are fast to calculate and provide interactive data classification.",

author = "A. Vilanova and V. Prckovska and C. Poupon and {Haar Romenij, ter}, B.M. and M. Descoteaux",

year = "2010",

language = "English",

pages = "25--",

booktitle = "Proceedings of the 2nd Annual Meeting of the Benelux ISMRM Chapter, 18 January 2010, Utrecht, The Netherlands",

}

Classification of non-Gaussian diffusion profiles for HARDI data simplification. / Vilanova, A.; Prckovska, V.; Poupon, C. et al.
Proceedings of the 2nd Annual Meeting of the Benelux ISMRM Chapter, 18 January 2010, Utrecht, The Netherlands. Netherlands, Utrecht, 2010. p. 25-.

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

TY - GEN

T1 - Classification of non-Gaussian diffusion profiles for HARDI data simplification

AU - Vilanova, A.

AU - Prckovska, V.

AU - Poupon, C.

AU - Haar Romenij, ter, B.M.

AU - Descoteaux, M.

PY - 2010

Y1 - 2010

N2 - High angular resolution diffusion imaging (HARDI) is able to capture the water diffusion pattern in areas of complex intravoxel fiber configurations. However, compared to diffusion tensor imaging (DTI), HARDI adds extra complexity (e.g., high post-processing time and memory costs, nonintuitive visualization). Separating the data into Gaussian and non-Gaussian areas can allow using complex HARDI models just when it is necessary. We study HARDI anisotropy measures as classification criteria applied to different HARDI models. The chosen measures are fast to calculate and provide interactive data classification.

AB - High angular resolution diffusion imaging (HARDI) is able to capture the water diffusion pattern in areas of complex intravoxel fiber configurations. However, compared to diffusion tensor imaging (DTI), HARDI adds extra complexity (e.g., high post-processing time and memory costs, nonintuitive visualization). Separating the data into Gaussian and non-Gaussian areas can allow using complex HARDI models just when it is necessary. We study HARDI anisotropy measures as classification criteria applied to different HARDI models. The chosen measures are fast to calculate and provide interactive data classification.

M3 - Conference contribution

SP - 25-

BT - Proceedings of the 2nd Annual Meeting of the Benelux ISMRM Chapter, 18 January 2010, Utrecht, The Netherlands

CY - Netherlands, Utrecht

ER -

Classification of non-Gaussian diffusion profiles for HARDI data simplification

Abstract

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