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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳中明 | |
dc.contributor.author | Hao-Kai Chou | en |
dc.contributor.author | 周皓凱 | zh_TW |
dc.date.accessioned | 2021-06-16T08:46:10Z | - |
dc.date.available | 2018-08-23 | |
dc.date.copyright | 2013-08-23 | |
dc.date.issued | 2013 | |
dc.date.submitted | 2013-08-20 | |
dc.identifier.citation | 1. 中華民國公共衛生年報,行政院衛生署, 2010
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Chao-Yu Huang, ” The analysis of coronary arteries plaque in 3D CTA with and without contrast agent : vessel reconstruction and plaque registration.” NTU Biomedical Engineering Master Thesis,2012 23. Alejandro F. Frangi, Wiro J. Niessen, Koen L. Vincken, Max A. Viergever, Multiscale Vessel Enhancement Filtering - Image Sciences Institute, Utrecht University HospitalRoom E.01.334, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands. 24. P.V.C. Hough, Machine Analysis of Bubble Chamber Pictures, Proc. Int. Conf. High Energy Accelerators and Instrumentation, 1959 25. MacQueen J. 1967. Some methods for classification and analysis of multivariate observations.In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability,Vol. 1, LeCam LM, Neyman J (eds). University of California Press: Berkeley, CA; 281–297. 26. Alejandro F. Frangi, Wiro J. Niessen, Koen L. Vincken, Max A. 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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59039 | - |
dc.description.abstract | 近年來,心血管疾病在國人十大死因中穩居第二名,同樣的這類疾病也困擾著許多國家,心血管疾病之中又以冠狀動脈疾病為最大宗,因此冠狀動脈疾病的診斷及治療成為時下相當重要的課題。現有的冠狀動脈疾病檢查有相當多種,其中又以非侵入式的影像學檢查最為人所接受,而多切片電腦斷層掃描(MSCT)是目前最為重要且有效的檢查方法之一。然而,雖然目前市面上已有商用分析軟體專門來處理電腦斷層掃描上冠狀動脈血管樹(Vessel tree)的分割,但往往需要人工的介入操作的,相對的比較消耗人力等資源。本研究著重於發展一套自動化的工具,目的在於方便使用者操作,加強整體冠狀動脈分支的準確性,提供完善的血管樹資訊幫助醫師診斷及治療。
本篇方法主要分成三大步驟:第一步驟為找出符合冠狀動脈血管的管狀結構。首先測試不同的高斯分布標準差來找出最適合偵測冠狀動脈管狀結構的數組標準差值,接著利用這些標準差透過frangi filter求出每個pixel與冠狀動脈管狀結構的相似程度,得出一個由機率值組成的三維影像,由多次測試結果挑出符合冠狀動脈管狀結構的frangi值區間。 第二步驟為疊代的生成血管樹。首先利用斷層掃描影像中每個切片的變化來找出左、右冠狀動脈出現的起點,接著將此兩個起點設成growcut演算法的前景,並將不符合冠狀動脈管狀結構frangi值的pixel設成growcut演算法的背景,藉由細胞自動機理論的概念逐次的疊代生成血管樹。 第三步驟為修飾血管樹。首先藉由檢查每個pixel周圍背景的灰階值分布,來拿掉不屬於冠狀動脈的其他管狀結構;接著,在已生成的血管樹管壁上的每個pixel建立一個三維window,用以檢查是否有斷掉未接上的血管分支;最後,將整個血管樹利用高斯濾波器來做平滑化。 本研究所使用的影像皆由台大醫院影像醫學部提供之多切面胸腔電腦斷層影像(MSCT),並採用十三組電腦斷層掃描影像來進行實驗,結果顯示本研究可以重建出各種不同管徑的冠狀動脈,且可解決由於周圍組織或部分因斑塊影響而難以重建之血管分支的問題。 | zh_TW |
dc.description.provenance | Made available in DSpace on 2021-06-16T08:46:10Z (GMT). No. of bitstreams: 1 ntu-102-R00548054-1.pdf: 6622425 bytes, checksum: b3424b5e5b5e8aa37241d1106d808556 (MD5) Previous issue date: 2013 | en |
dc.description.tableofcontents | 中文摘要 I
Abstract III 第一章 緒論 1 1.1前言 1 1.2研究動機與目的 7 1.3文獻探討 10 1.4論文架構 12 第二章 研究方法與材料 14 2.1研究材料 14 2.2演算法流程 14 2.2.1找出符合冠狀動脈血管的管狀結構 15 2.2.2疊代的生成血管樹 16 2.2.3血管樹的修飾 17 2.3找出符合冠狀動脈血管的管狀結構 18 2.3.1影像前處理 18 2.3.2找出適合偵測冠狀動脈管狀結構的高斯分布標準差 23 2.3.3利用frangi filter建立3D管狀結構影像….........………………….......….33 2.4疊代的生成血管樹 37 2.4.1冠狀動脈起點的偵測 37 2.4.2 GrowCut演算法 41 2.5血管樹的修飾 46 2.5.1去除Leakage 46 2.5.2尋找是否有斷掉而未接上的血管 50 2.5.3平滑化 51 第三章 結果與討論 52 第四章 結論 77 Reference 78 附錄 81 | |
dc.language.iso | zh-TW | |
dc.title | 三維斷層掃描影像中冠狀動脈血管樹的重建演算法 | zh_TW |
dc.title | Coronary Artery Reconstruction Algorithm in Multi-slice
Computed Tomography Image | en |
dc.type | Thesis | |
dc.date.schoolyear | 101-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 王宗道,李文正,花凱龍,鄭介誌 | |
dc.subject.keyword | 冠狀動脈疾病,冠狀動脈追蹤,growcut,細胞自動機,frangi filter,影像分割, | zh_TW |
dc.subject.keyword | Coronary artery disease,Coronary artery tracking,growcut,cellular automata,frangi filter,Image segmentation, | en |
dc.relation.page | 100 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2013-08-20 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 醫學工程學研究所 | zh_TW |
顯示於系所單位: | 醫學工程學研究所 |
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