Robust lumen segmentation in 3D contrast enhanced ultrasound images
作者： Kunlin Cao , Dirk Padfield , Aaron Dentinger , Kirk Wallace , David Mills
DOI: 10.1109/ISBI.2015.7163959
关键词:
摘要: The detection and quantification of carotid artery stenosis guides the decision need for surgical intervention such as endarterectomy or stenting a patient. Contrast enhanced ultrasound highlights detailed information on hemodynam-ics even pathophysiology, 3D scans yield full in-situ complete anatomy. We introduce image analysis algorithms that enable visualization lumen in these scans. Our method enhances intensity contrast, extracts centerlines using gradient concentration calculation, then uses graph search to obtain coarse segmentation, which is refined through level set applied an intensity-corrected image. processed 35 images acquired from 7 patients, demonstrated quantitative comparisons with MR/CT segmentations. obtained segmentation correlation score R2 = 0.94 coefficient 0.99 US versus linear regression effective diameters extracted slices XY-plane.
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