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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 醫學工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63243
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳中明(Chung-Ming Chen)
dc.contributor.authorJie-Zhi Chengen
dc.contributor.author鄭介誌zh_TW
dc.date.accessioned2021-06-16T16:30:18Z-
dc.date.available2014-02-01
dc.date.copyright2013-02-01
dc.date.issued2012
dc.date.submitted2012-12-25
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[22] P. Zou, P. Chan, and P. Rockett, 'A Model-Based Consecutive Scanline Tracking Method for Extracting Vascular Networks From 2-D Digital Subtraction Angiograms,' IEEE Transactions on Medical Imaging, vol. 28, pp. 241-249, Feb 2009.
[23] M. Schaap, I. Smal, C. Metz, T. van Walsum, and W. Niessen, 'Bayesian tracking of elongated structures in 3D images,' in Information Processing Medical Imaging – IPMI 2007, Kerkrade, The Netherlands, 2007, pp. 74-85.
[24] R. Manniesing, M. A. Viergever, and W. J. Niessen, 'Vessel Axis Tracking Using Topology Constrained Surface Evolution,' IEEE Transactions on Medical Imaging, vol. 26, pp. 309-316, 2007.
[25] D. Lesage, E. D. Angelini, I. Bloch, and G. Funka-Lea, 'A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes,' Medical Image Analysis, vol. 13, pp. 819-845, 2009.
[26] J. Ge, H. P. Chan, B. Sahiner, C. Zhou, M. A. Helvie, J. Wei, et al., 'Automated detection of breast vascular calcification on full-field digital mammograms,' presented at the Proceeding of SPIE Medical Imaging 2008, San Diego, CA, USA, 2008.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63243-
dc.description.abstract乳房血管鈣化,在近幾年來逐漸被探討是否有可能為女性心血管疾病與慢性腎臟病的有效生物標記;為了提供更有效的量化分析,我們在本文中提出了一乳房血管鈣化偵測的演算法。具體來說,我們使用了兩個主要的線索,也就是,鈣化與血管特徵值,並且套入了一容納不確定性的血管追蹤演算法。此一新的血管追蹤演算法產生了數個不同可能樣本血管個體來描述複雜的鈣化血管拓樸結構。之後我們發展了一套匯編與連結的處理方法,將這些測得的樣本血管個體整理以及連接。此一發展之方法套用到63組乳房攝影影像中;為了進行效能分析,我們產生了四組演算法生成的結果並將其與兩組手繪作比較。比較的測量值包含了三個計量測量值以及兩個臨床測量值。實驗結果證實了我們方法的有效性與穩定性,且有潛力成為方便的血管鈣化量化的工具來替代繁瑣的手繪過程。zh_TW
dc.description.abstractAs a potential biomarker for women's cardiovascular and chronic kidney diseases, breast arterial calcification (BAC) in mammography has become an emerging research topic in recent years. To provide more objective measurement for vascular structures with calcium depositions in mammography, a new computerized method is introduced in this paper to delineate the calcified vessels. Specifically, we leverage two underlying cues, namely calcification and vesselness, into a multiple seeded tracking with uncertainty scheme. This new vessel-tracking scheme generates plenty of sampling paths to describe the complicated topology of the vascular structures with calcium depositions. A compiling and linking process is further carried out to organize the sampling paths together to be the vessel segments that likely belong to the same vessel tract. The proposed method has been tested on 63 mammograms. For performance evaluation, four sets of our computer-estimated results are evaluated by the two sets of manual delineation results from two experts, by using three assessment metrics and two clinical metrics. The experiment results confirm the efficacy and stability of the proposed method, and also indicate that the proposed method can be potentially used as a convenient BAC measurement tool to replace the trivial and tedious manual delineation tasks.en
dc.description.provenanceMade available in DSpace on 2021-06-16T16:30:18Z (GMT). No. of bitstreams: 1
ntu-101-D98548010-1.pdf: 2638709 bytes, checksum: b8f4eb28db7af7cc98d9f2e8ce7d2a0e (MD5)
Previous issue date: 2012
en
dc.description.tableofcontents口試委員會審定書 #
誌謝 i
中文摘要 ii
ABSTRACT iii
CONTENTS iv
LIST OF FIGURES vi
LIST OF TABLES viii
Chapter 1 Introduction 1
1.1 Clinical Background 1
1.2 Problem Description 2
1.3 Related Works 6
Chapter 2 Methods 9
2.1 Calcification Cue Generation with Linear Structure Analysis 9
2.1.1 Detection of Calcification Candidates 10
2.1.2 Detection of Parallel Linear Structure Patterns 11
2.1.3 Consideration of Single Linear Structures 14
2.2 Generation of Vessel Probability Map 15
2.3 Vessel Tracking with Uncertainty 15
2.3.1 Uncertainty in the Setting of Tracking Factors 17
2.3.2 Our Vessel Tracking Algorithm 20
2.4 Compiling and Linking of Sampling Paths 25
2.4.1 Compiling the Sampling Paths into Super-paths 25
2.4.2 Discarding Ineligible Super-paths 26
2.4.3 Iterative Process for Linking up the Super-paths 27
Chapter 3 Experiments and Results 34
3.1 Parameterization Analysis 38
3.2 Overall Performance Analysis 41
Chapter 4 Discussion and Conclusion 50
REFERENCE 54
dc.language.isoen
dc.subject乳房攝影zh_TW
dc.subject乳房血管鈣化zh_TW
dc.subject血管追蹤zh_TW
dc.subject不確定性zh_TW
dc.subject曲線連結zh_TW
dc.subjectVessel trackingen
dc.subjectBreast arterial calcificationen
dc.subjectCurve linkingen
dc.subjectMammographyen
dc.subjectUncertaintyen
dc.title鈣化血管之偵測於乳房攝影zh_TW
dc.titleComputerized Detection and Delineation of Calcified Vessels in Digital Mammographyen
dc.typeThesis
dc.date.schoolyear101-1
dc.description.degree博士
dc.contributor.oralexamcommittee周宜宏(Yi-Hong Chou),刁翠美(Chui-Mei Tiu),張允中(Yeun-Chung Chang),賴尚宏(Shang-Hong Lai),孫永年(Yung-Nien Sun)
dc.subject.keyword乳房血管鈣化,血管追蹤,不確定性,乳房攝影,曲線連結,zh_TW
dc.subject.keywordBreast arterial calcification,Vessel tracking,Uncertainty,Mammography,Curve linking,en
dc.relation.page56
dc.rights.note有償授權
dc.date.accepted2012-12-26
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept醫學工程學研究所zh_TW
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