Sticky vector fields, and other geometric measures on diffusion tensor images

Laura Astola; Luc Florack

doi:10.1109/CVPRW.2008.4562997

Sticky vector fields, and other geometric measures on diffusion tensor images

Laura Astola, Luc Florack

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

8 Citations (Scopus)

5 Downloads (Pure)

Abstract

This paper is about geometric measures in diffusion tensor imaging (DTI) analysis, and it is a continuation of our previous work (L. Astola et al., 2007), where we discussed two measures for diffusion tensor (DT) image (fiber tractography) analysis. Its contribution is threefold. First, we show how the so called connectivity measure performs on a real DTI image with three different interpolation methods. Secondly, we introduce a new vector field on DTI images, that points out the locally most coherent direction for fiber tracking, and we illustrate it on bundles of tracked fibers. Thirdly, we introduce an inhomogeneity- (edge-, crossing-) detector for symmetric positive matrix valued images, including DTI images. One possible application is segmentation of diffusion tensor fields.

Original language	English
Title of host publication	2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008)
Place of Publication	Piscataway NJ
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-7
Number of pages	7
ISBN (Print)	978-1-4244-2339-2
DOIs	https://doi.org/10.1109/CVPRW.2008.4562997
Publication status	Published - 2008

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Astola, L., & Florack, L. (2008). Sticky vector fields, and other geometric measures on diffusion tensor images. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008) (pp. 1-7). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CVPRW.2008.4562997

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title = "Sticky vector fields, and other geometric measures on diffusion tensor images",

abstract = "This paper is about geometric measures in diffusion tensor imaging (DTI) analysis, and it is a continuation of our previous work (L. Astola et al., 2007), where we discussed two measures for diffusion tensor (DT) image (fiber tractography) analysis. Its contribution is threefold. First, we show how the so called connectivity measure performs on a real DTI image with three different interpolation methods. Secondly, we introduce a new vector field on DTI images, that points out the locally most coherent direction for fiber tracking, and we illustrate it on bundles of tracked fibers. Thirdly, we introduce an inhomogeneity- (edge-, crossing-) detector for symmetric positive matrix valued images, including DTI images. One possible application is segmentation of diffusion tensor fields.",

author = "Laura Astola and Luc Florack",

year = "2008",

doi = "10.1109/CVPRW.2008.4562997",

language = "English",

isbn = "978-1-4244-2339-2",

pages = "1--7",

booktitle = "2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008)",

publisher = "Institute of Electrical and Electronics Engineers",

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}

Astola, L & Florack, L 2008, Sticky vector fields, and other geometric measures on diffusion tensor images. in 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008). Institute of Electrical and Electronics Engineers, Piscataway NJ, pp. 1-7. https://doi.org/10.1109/CVPRW.2008.4562997

Sticky vector fields, and other geometric measures on diffusion tensor images. / Astola, Laura; Florack, Luc.
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008). Piscataway NJ: Institute of Electrical and Electronics Engineers, 2008. p. 1-7.

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

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AB - This paper is about geometric measures in diffusion tensor imaging (DTI) analysis, and it is a continuation of our previous work (L. Astola et al., 2007), where we discussed two measures for diffusion tensor (DT) image (fiber tractography) analysis. Its contribution is threefold. First, we show how the so called connectivity measure performs on a real DTI image with three different interpolation methods. Secondly, we introduce a new vector field on DTI images, that points out the locally most coherent direction for fiber tracking, and we illustrate it on bundles of tracked fibers. Thirdly, we introduce an inhomogeneity- (edge-, crossing-) detector for symmetric positive matrix valued images, including DTI images. One possible application is segmentation of diffusion tensor fields.

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DO - 10.1109/CVPRW.2008.4562997

M3 - Conference contribution

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BT - 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2008, Anchorage AK, USA, June 23-28, 2008)

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Sticky vector fields, and other geometric measures on diffusion tensor images

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