TY - GEN
T1 - Vessel segmentation from quantitative susceptibility maps for local oxygenation venography
AU - Bazin, Pierre Louis
AU - Plessis, Victoire
AU - Fan, Audrey P.
AU - Villringer, Arno
AU - Gauthier, Claudine J.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/15
Y1 - 2016/6/15
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84978431939&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978431939&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2016.7493466
DO - 10.1109/ISBI.2016.7493466
M3 - Conference contribution
AN - SCOPUS:84978431939
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 1135
EP - 1138
BT - 2016 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Y2 - 13 April 2016 through 16 April 2016
ER -