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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|Titolo:||Segmentation of vessel tree from cine-angiography images for intraoperative clinical evaluation|
BRUNO, PIERANGELA (Corresponding)
CALIMERI, Francesco (Corresponding)
|Data di pubblicazione:||2018|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|