頁籤選單縮合
題 名 | Extraction of Coronary Arterial Tree Using Cine X-Ray Angiograms |
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作 者 | Lin, Chih-yang; Ching, Yu-tai; | 書刊名 | 醫學工程 |
卷 期 | 17:3 民94.06 |
頁 次 | 頁111-120 |
分類號 | 416.263 |
關鍵詞 | Coronary artery; Angiogram; Segmentation; Feature extraction; Matched filter; Wavelet transform; Gradient vector flow snake; |
語 文 | 英文(English) |
英文摘要 | An efficient and robust method for identification of coronary arteries and evaluation of the severity of the stenos is 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. |
本系統中英文摘要資訊取自各篇刊載內容。