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An Automatic Seeding Method For Coronary Artery Segmentation and Skeletonization in CTA
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-0442-3524
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping.ORCID iD: 0000-0002-7750-1917
2008 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

An automatic seeding method for coronary artery segmentation and skeletonization is presented. The new method includes automatic removal of the rib cage, tracing of the ascending aorta and initial planting of seeds for the coronary arteries. The automatic seeds are then passed on to a “virtual contrast injection” algorithm performing segmentation and skeletonization. In preliminary experiments, most main branches of the coronary tree were segmented and skeletonized without any user interaction.

Place, publisher, year, edition, pages
2008.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-115743OAI: oai:DiVA.org:liu-115743DiVA: diva2:796215
Conference
The MIDAS Journal, vol. Online Publishing, Sep. 2008
Available from: 2015-03-18 Created: 2015-03-18 Last updated: 2015-04-01

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Wang, ChunliangSmedby, Örjan

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Wang, ChunliangSmedby, Örjan
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Division of Radiological SciencesFaculty of Health SciencesCenter for Medical Image Science and Visualization (CMIV)Department of Radiology in Linköping
Computer Vision and Robotics (Autonomous Systems)

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