Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree [Elektronisk resurs]

• We propose a new segmentation algorithm based on competing fuzzy connectedness theory, which is then used for visualizing coronary arteries in 3D CT angiography (CTA) images. The major difference compared to other fuzzy connectedness algorithms is that an additional data structure, the connectedness tree, is constructed at the same time as the seeds propagate. In preliminary evaluations, accurate result have been achieved with very limited user interaction. In addition to improving computational speed and segmentation results, the fuzzy connectedness tree algorithm also includes automated extraction of the vessel centerlines, which is a promising approach for creating curved plane reformat (CPR) images along arteries’ long axes. 

Ämnesord

Medical and Health Sciences  (hsv)

Clinical Medicine  (hsv)

Radiology, Nuclear Medicine and Medical Imaging  (hsv)

Medicin och hälsovetenskap  (hsv)

Klinisk medicin  (hsv)

Radiologi och bildbehandling  (hsv)

Natural Sciences  (hsv)

Computer and Information Sciences  (hsv)

Computer Vision and Robotics (Autonomous Systems)  (hsv)

Naturvetenskap  (hsv)

Data- och informationsvetenskap  (hsv)

Datorseende och robotik (autonoma system)  (hsv)

MEDICINE  (svep)

Physiology and pharmacology  (svep)

Radiological research  (svep)

Radiology  (svep)

MEDICIN  (svep)

Fysiologi och farmakologi  (svep)

Radiologisk forskning  (svep)

Radiologi  (svep)

TECHNOLOGY  (svep)

Information technology  (svep)

Image analysis  (svep)

TEKNIKVETENSKAP  (svep)

Informationsteknik  (svep)

Bildanalys  (svep)

Indexterm och SAB-rubrik

segmentation - fuzzy connectedness tree - centerline extraction - skeletonization - coronary artery - CT angiography