Vessel segmentation from quantitative susceptibility maps for local oxygenation venography

Pierre Louis Bazin; Victoire Plessis; Audrey P. Fan; Arno Villringer; Claudine J. Gauthier

doi:10.1109/ISBI.2016.7493466

Vessel segmentation from quantitative susceptibility maps for local oxygenation venography

Pierre Louis Bazin, Victoire Plessis, Audrey P. Fan, Arno Villringer, Claudine J. Gauthier

School of Medicine

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

12 Scopus citations

Abstract

Recent works have demonstrated that oxygenation in the brain can be measured via susceptibility shifts between vessels and neighboring regions in magnetic resonance images. To obtain a rich picture of local oxygenation, small venous vessels across the cortex need to be extracted. This work presents a novel vessel filter for the segmentation of vasculature in high resolution quantitative susceptibility mapping. The filter recursively estimates image ridges, resulting in highly specific responses. A global probability diffusion scheme further enhances the response along connected vessels while removing inconsistent ones. Vessel diameters are then estimated in order to refine the segmentation and model partial volume effects.

Original language	English (US)
Title of host publication	2016 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2016 - Proceedings
Publisher	IEEE Computer Society
Pages	1135-1138
Number of pages	4
ISBN (Electronic)	9781479923502
DOIs	https://doi.org/10.1109/ISBI.2016.7493466
State	Published - Jun 15 2016
Event	2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic Duration: Apr 13 2016 → Apr 16 2016

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2016-June
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Country/Territory	Czech Republic
City	Prague
Period	4/13/16 → 4/16/16

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

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10.1109/ISBI.2016.7493466

Cite this

Bazin, P. L., Plessis, V., Fan, A. P., Villringer, A., & Gauthier, C. J. (2016). Vessel segmentation from quantitative susceptibility maps for local oxygenation venography. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings (pp. 1135-1138). Article 7493466 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June). IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493466

Vessel segmentation from quantitative susceptibility maps for local oxygenation venography. / Bazin, Pierre Louis; Plessis, Victoire; Fan, Audrey P. et al.
2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, 2016. p. 1135-1138 7493466 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June).

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

Bazin, PL, Plessis, V, Fan, AP, Villringer, A & Gauthier, CJ 2016, Vessel segmentation from quantitative susceptibility maps for local oxygenation venography. in 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings., 7493466, Proceedings - International Symposium on Biomedical Imaging, vol. 2016-June, IEEE Computer Society, pp. 1135-1138, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, Czech Republic, 4/13/16. https://doi.org/10.1109/ISBI.2016.7493466

Bazin PL, Plessis V, Fan AP, Villringer A, Gauthier CJ. Vessel segmentation from quantitative susceptibility maps for local oxygenation venography. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society. 2016. p. 1135-1138. 7493466. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2016.7493466

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abstract = "Recent works have demonstrated that oxygenation in the brain can be measured via susceptibility shifts between vessels and neighboring regions in magnetic resonance images. To obtain a rich picture of local oxygenation, small venous vessels across the cortex need to be extracted. This work presents a novel vessel filter for the segmentation of vasculature in high resolution quantitative susceptibility mapping. The filter recursively estimates image ridges, resulting in highly specific responses. A global probability diffusion scheme further enhances the response along connected vessels while removing inconsistent ones. Vessel diameters are then estimated in order to refine the segmentation and model partial volume effects.",

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AB - Recent works have demonstrated that oxygenation in the brain can be measured via susceptibility shifts between vessels and neighboring regions in magnetic resonance images. To obtain a rich picture of local oxygenation, small venous vessels across the cortex need to be extracted. This work presents a novel vessel filter for the segmentation of vasculature in high resolution quantitative susceptibility mapping. The filter recursively estimates image ridges, resulting in highly specific responses. A global probability diffusion scheme further enhances the response along connected vessels while removing inconsistent ones. Vessel diameters are then estimated in order to refine the segmentation and model partial volume effects.

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Vessel segmentation from quantitative susceptibility maps for local oxygenation venography

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