The assessment of vascular complexity in the lower limbs provides relevant information about peripheral artery diseases, with a relevant impact on both therapeutic decisions and on prognostic estimation. Such evaluation is currently carried out by human operators via visual inspection of cine-angiograms, resulting in conflicting results and scorings that are largely operator-dependent, mostly because of the technical difficulties in the quantification of vascular network and its flow capability. We propose a new method to automatically segment the vessel tree from cine-angiography video for intraoperative clinical evaluation, in order to improve the clinical interpretation of the complexity of vascular collaterals in Peripheral Arterial Occlusive Disease (PAOD) patients.

Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation

Bruno P.
;
Calimeri F.
;
2018

Abstract

The assessment of vascular complexity in the lower limbs provides relevant information about peripheral artery diseases, with a relevant impact on both therapeutic decisions and on prognostic estimation. Such evaluation is currently carried out by human operators via visual inspection of cine-angiograms, resulting in conflicting results and scorings that are largely operator-dependent, mostly because of the technical difficulties in the quantification of vascular network and its flow capability. We propose a new method to automatically segment the vessel tree from cine-angiography video for intraoperative clinical evaluation, in order to improve the clinical interpretation of the complexity of vascular collaterals in Peripheral Arterial Occlusive Disease (PAOD) patients.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/299169
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