完整後設資料紀錄
DC 欄位語言
dc.contributor.authorLin, Chih-Yangen_US
dc.contributor.authorChing, Yu-Taien_US
dc.date.accessioned2018-08-21T05:54:29Z-
dc.date.available2018-08-21T05:54:29Z-
dc.date.issued2005-06-25en_US
dc.identifier.issn1016-2372en_US
dc.identifier.urihttp://dx.doi.org/10.4015/S1016237205000184en_US
dc.identifier.urihttp://hdl.handle.net/11536/146027-
dc.description.abstractAn efficient and robust method for identification of coronary arteries and evaluation of the severity of the stenosis on the routine X-ray angiograms is proposed. It is a challenging process to accurately identify coronary artery due to poor signal-to-noise ratio, vessel overlap, and superimposition with various anatomical structures such as ribs, spine, or heart chambers. The proposed method consists of two major stages: (a) signal-based image segmentation and (b) vessel feature extraction. The 3D Fourier and 3D Wavelet transforms are first employed to reduce the background and noisy structures in the images. Afterwards, a set of matched filters was applied to enhance the coronary arteries in the images. At the end, clustering analysis, histogram technique, and size filtering were utilized to obtain a binary image that consists of the final segmented coronary arterial tree. To extract vessel features in terms of vessel centerline and diameter, a gradient vector-flow based snake algorithm is applied to determine the medial axis of a vessel followed by the calculations of vessel boundaries and width associated with the detected medial axis.en_US
dc.language.isoen_USen_US
dc.subjectCoronary Arteryen_US
dc.subjectAngiogramen_US
dc.subjectSegmentationen_US
dc.subjectFeature Extractionen_US
dc.subjectMatched Filteren_US
dc.subjectWavelet Transformen_US
dc.subjectGradient Vector Flow Snakeen_US
dc.titleEXTRACTION OF CORONARY ARTERIAL TREE USING CINE X-RAY ANGIOGRAMSen_US
dc.typeArticleen_US
dc.identifier.doi10.4015/S1016237205000184en_US
dc.identifier.journalBIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONSen_US
dc.citation.volume17en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000213385300001en_US
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