腹主動脈瘤精確追踪與初始切割

本論文提出一基於平均位移的方法能有效率地分割出腹主動脈瘤，使用者只需要輸入一組病人斷層掃描影像，在起始位置圈選動脈壁（管腔）內一小範圍（亦即血液），最後在終點位置點擊一下，系統將會根據初始圈選的範圍做腹主動脈的追踪。與商業軟體的腹主動脈瘤的分割需要逐張圈選想要的範圍相較，本論文可以節省許多人力避免因為疲勞而產生疏忽。與其它針對腹主動脈瘤分割的研究，如果使用者輸入的是腹部的斷層掃描的話，直接從第一張就可以開始進行本計劃的演算法；若是全身的斷層掃描也只需從橫隔模以下就可開始進行，不需要人為事先挑選有腹主動脈瘤的CT切片才能開始，使用上方便了許多。實驗結果顯示，針對腹主動脈瘤的影像切割結果都令人滿意。

關鍵字

腫瘤；腹主動脈瘤；平均位移；斷層掃描

並列摘要

In this paper we propose a mean-shift based technique for a precise tracking and segmentation of abdominal aortic aneurysm (AAA) from computed tomography (CT) angiography images. Output data from the proposed method can be used for measurement of aortic shape and dimensions. Knowledge of aortic shape and size is very important for selection of appropriate stent graft device for treatment of AAA. Comparing to conventional approaches, our method is very efficient and can save a lot of manual labors.

並列關鍵字

Aneurysm ； Abdominal Abnormal Aneurysm (AAA) ； mean-shift ； computed tomography (CT)

參考文獻

[1] 施俊哲, “胸、腹主動脈瘤微創治療新趨勢--支架血管治療主動脈瘤,” 臨床醫學 60:4=358 2007.10[民96.10], pp. 271-282, 10 2007.

[13] "Taipei Veterans General Hospital - the department of Radiology," [Online]. Available: http://wd.vghtpe.gov.tw/RAD/site.jsp?id=2951.

[5] E.M, Majd, U.U. Sheikh, and S.A.R Abu-Bakar, "Automatic Segmentation of Abdominal Aortic Aneurysm in Computed Tomography Images Using Spatial Fuzzy C-Means," Signal-Image Technology and Internet-Based Systems (SITIS), 2010 Sixth International Conference on, pp. 170 - 175, 15-18 December 2010.

[6] Marko Subasic, Sven Loncaric, Erich Sorantin, "3D image analysis of abdominal aortic aneurysm," SPIE Medical Imaging, p. 388, 17 February 2001.

[7] T.F. Cootes, C.J. Taylor, D.H. Cooper, J. Graham, "Active Shape Models-Their Training and Application," Computer Vision and Image Understanding, vol. 61, no. 1, pp. 38-59, January 1995.

國際替代計量

腹主動脈瘤精確追踪與初始切割

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