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  1. NTU Theses and Dissertations Repository
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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48808
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dc.contributor.advisor張瑞峰
dc.contributor.authorPei-Fan Linen
dc.contributor.author林倍帆zh_TW
dc.date.accessioned2021-06-15T11:09:38Z-
dc.date.available2017-02-08
dc.date.copyright2017-02-08
dc.date.issued2016
dc.date.submitted2016-10-19
dc.identifier.citation[1] A. C. Society, 'Global Cancer Facts & Figures,' American Cancer Society, Atlanta, GA, USA. 2013.
[2] A. Oliver, J. Freixenet, J. Martí, E. Pérez, J. Pont, E. R. E. Denton, et al., 'A review of automatic mass detection and segmentation in mammographic images,' Medical Image Analysis, vol. 14, pp. 87-110, 4// 2010.
[3] N. C. o. R. P. a. Measurements, Mammography: A User's Guide, 1986.
[4] F. A. C. o. Radiology, 'ACR Practice Parameter for the Performance of Screening and Diagnostic Mammography,' 2013.
[5] E. Hatefnia, M. Niknami S Fau - Bazargan, M. Bazargan M Fau - Mahmoodi, M. Mahmoodi M Fau - Lamyianm, N. Lamyianm M Fau - Alavi, and N. Alavi, 'Correlates of mammography utilization among working Muslim Iranian women,' 20100512 DCOM- 20100826.
[6] E. Devolli-Disha, H. Manxhuka-Kerliu S Fau - Ymeri, A. Ymeri H Fau - Kutllovci, and A. Kutllovci, 'Comparative accuracy of mammography and ultrasound in women with breast symptoms according to age and breast density,' 20090602 DCOM- 20090630.
[7] T. M. Kolb, J. H. Lichy J Fau - Newhouse, and J. H. Newhouse, 'Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations,' 20020930 DCOM- 20021017.
[8] R. A. Sickles Ea Fau - Filly, P. W. Filly Ra Fau - Callen, and P. W. Callen, 'Benign breast lesions: ultrasound detection and diagnosis,' 19840511 DCOM- 19840511.
[9] K. J. Taylor, C. Merritt C Fau - Piccoli, R. Piccoli C Fau - Schmidt, G. Schmidt R Fau - Rouse, B. Rouse G Fau - Fornage, E. Fornage B Fau - Rubin, et al., 'Ultrasound as a complement to mammography and breast examination to characterize breast masses,' 20020307 DCOM- 20020530.
[10] K. M. Kelly, W. S. Dean J Fau - Comulada, S.-J. Comulada Ws Fau - Lee, and S. J. Lee, 'Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts,' 20100216 DCOM- 20100518.
[11] K. Flobbe, A. G. H. Nelemans Pj Fau - Kessels, G. L. Kessels Ag Fau - Beets, M. F. Beets Gl Fau - von Meyenfeldt, J. M. A. von Meyenfeldt Mf Fau - van Engelshoven, and J. M. van Engelshoven, 'The role of ultrasonography as an adjunct to mammography in the detection of breast cancer. a systematic review,' 20020514 DCOM- 20020718.
[12] P. Crystal, S. Strano Sd Fau - Shcharynski, M. J. Shcharynski S Fau - Koretz, and M. J. Koretz, 'Using sonography to screen women with mammographically dense breasts,' 20030623 DCOM- 20030815.
[13] V. Corsetti, M. Ferrari A Fau - Ghirardi, R. Ghirardi M Fau - Bergonzini, S. Bergonzini R Fau - Bellarosa, O. Bellarosa S Fau - Angelini, C. Angelini O Fau - Bani, et al., 'Role of ultrasonography in detecting mammographically occult breast carcinoma in women with dense breasts,' 20060509 DCOM- 20060606.
[14] J. M. Chang, J. H. Cha, J. S. Park, S. J. Kim, and W. K. Moon, 'Automated breast ultrasound system (ABUS): reproducibility of mass localization, size measurement, and characterization on serial examinations,' 20150831 DCOM- 20151116.
[15] H. J. Shin, H. H. Kim, and J. H. Cha, 'Current status of automated breast ultrasonography,' Ultrasonography, vol. 34, pp. 165-172, 03/23 2015.
[16] R. E. W. Rafael C. Gonzalez, Digital Image Processing, Third ed.: Pearson Prentice Hall, 2007.
[17] U. Bick, R. A. Giger Ml Fau - Schmidt, R. M. Schmidt Ra Fau - Nishikawa, D. E. Nishikawa Rm Fau - Wolverton, K. Wolverton De Fau - Doi, and K. Doi, 'Automated segmentation of digitized mammograms,' 19980226 DCOM- 19980226.
[18] J. M. Park and E. A. Franken Jr, 'Triangulation of Breast Lesions: Review and Clinical Applications,' Current Problems in Diagnostic Radiology, vol. 37, pp. 1-14, 1// 2008.
[19] M. B. Popli, R. Teotia, M. Narang, and H. Krishna, 'Breast Positioning during Mammography: Mistakes to be Avoided,' Breast Cancer : Basic and Clinical Research, vol. 8, pp. 119-124, 07/30 2014.
[20] S. L. Valerie Andolina, Mammographic Imaging: A Practical Guide, Third ed., 2010.
[21] A. T. Stavros, Breast Ultrasound, First ed.: Lippincott Williams & Wilkins, 2003.
[22] T. Tan, B. Platel, M. Hicks, R. M. Mann, and N. Karssemeijer, 'Finding lesion correspondences in different views of automated 3D breast ultrasound,' 2013, pp. 86701N-86701N-6.
[23] W. S. Wong, 'Template for the localization of lesions in a breast and method of use thereof,' ed: Google Patents, 2006.
[24] M. J. Kim, J. Y. Kim, J. H. Yoon, J. H. Youk, H. J. Moon, E. J. Son, et al., 'How to Find an Isoechoic Lesion with Breast US,' RadioGraphics, vol. 31, pp. 663-676, 2011/05/01 2011.
[25] G. H. Rose, 'Medial or lateral mammographic lesions: down and out is down and out ... sometimes,' 19981030 DCOM- 19981030.
[26] E. A. Sickles, 'Practical solutions to common mammographic problems: tailoring the examination,' American Journal of Roentgenology, vol. 151, pp. 31-39, 1988/07/01 1988.
[27] E. Maor, The Pythagorean Theorem: A 4,000-Year History: Princeton University Press, 2007.
[28] R. Chandrasekhar and Y. Attikiouzel, 'A simple method for automatically locating the nipple on mammograms,' IEEE Transactions on Medical Imaging, vol. 16, pp. 483-494, 1997.
[29] Y. Li, H. Chen, Y. Yang, and N. Yang, 'Pectoral muscle segmentation in mammograms based on homogenous texture and intensity deviation,' Pattern Recognition, vol. 46, pp. 681-691, 3// 2013.
[30] N. V. Lopes, P. A. M. d. Couto, H. Bustince, and P. Melo-Pinto, 'Automatic Histogram Threshold Using Fuzzy Measures,' IEEE Transactions on Image Processing, vol. 19, pp. 199-204, 2010.
[31] P. V. Henstock and D. M. Chelberg, 'Automatic gradient threshold determination for edge detection,' IEEE Transactions on Image Processing, vol. 5, pp. 784-787, 1996.
[32] A. H. Ismail and M. H. Marhaban, 'A simple approach to determine the best threshold value for automatic image thresholding,' in Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on, 2009, pp. 162-166.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48808-
dc.description.abstract在乳癌診斷上,乳房X光攝影及超音波扮演一個很重要的角色。在現今的超音波中,為了克服傳統手持式超音波的限制,像是因不同檢查者而影響檢查結果、過程過於耗時等,而發展出自動乳房超音波。而現今的臨床工作流程,放射科醫生需要同時檢查乳房X光攝影影像及自動乳房超音波影像來決定是否有可疑的腫瘤存在,且這檢查過程是耗時的。因此,在本篇研究中,我們提出一個腫瘤在乳房X光攝影影像及自動乳房超音波影像之間對位的方法來加速檢查過程。首先,在乳房X光攝影影像,利用偵測乳房表面來找到腫瘤投影在乳房表面的位置。接著,在乳房X光攝影影像及自動乳房超音波影像設定參考點:乳頭、胸腔、腫瘤,用來定位腫瘤相對於乳頭的位置。最後,根據腫瘤在乳房X光攝影影像的位置來推估腫瘤在自動乳房超音波影像的相對位置,反之亦然。我們使用了44個病人案例,每個案例都包含MLO、CC兩個相位的乳房X光攝影影像及自動乳房超音波影像。根據實驗的結果,不論是在乳房X光攝影影像或是自動乳房超音波影像上,實際與推估的腫瘤位置誤差約在2公分之內。zh_TW
dc.description.abstractMammogram and ultrasound (US) play an important role in breast cancer diagnosis. Nowadays, Automated Breast Ultrasound (ABUS) has been developed to overcome the limitation of conventional handheld US such as operator dependence and time-consuming in ultrasound screening. In the present clinical workflow, the radiologist needs to review both mammography and ABUS image for checking a suspicious tumor. However, this is a time-consuming process. To increase the efficiency of the screening process, we develop a tumor mapping method between mammogram and ABUS image to identify the same tumor location in mammogram and ABUS image in a more systematic way. Our method involves the following steps to determine the location of the tumors. We first measure the border of a breast in the mammogram image for getting the projection of the tumor on the breast surface. Once we get the projection of the tumor on the breast surface, we use it with nipple and chest wall as reference points to determine the tumor location relative to the nipple in mammogram and ABUS image. Given the relative location of the tumor to the nipple in mammogram, we can use it to extract the actual tumor location from the ABUS image. In this thesis, we use 44 samples to evaluate our proposed method. Each case consists of MLO and CC view mammograms and ABUS image. Our estimation provides the accuracy of the tumor locations within 2cm to the actual location in both mammogram and ABUS image.en
dc.description.provenanceMade available in DSpace on 2021-06-15T11:09:38Z (GMT). No. of bitstreams: 1
ntu-105-P03922002-1.pdf: 1548537 bytes, checksum: aeaf63e3ce01502fc2512ae80e78ba11 (MD5)
Previous issue date: 2016
en
dc.description.tableofcontents口試委員會審定書 i
誌謝 ii
中文摘要 iii
ABSTRACT iv
Table of Contents v
List of Figures vii
List of Tables ix
Chapter 1 Introduction 1
Chapter 2 Materials 3
Chapter 3 Methods 6
3.1 Overview 6
3.2 Tumor mapping from mammogram to ABUS 7
3.2.1 Breast surface detection 9
3.2.2 Reference points selection 10
3.2.3 Breast surface distance estimation in ML view 12
3.2.4 ABUS tumor location estimation 14
3.3 Tumor mapping from ABUS to mammograms 17
Chapter 4 Experimental Results and Discussion 23
4.1 Experimental Results 23
4.1.1 Accuracy of degree measurement in ABUS 23
4.1.2 Accuracy of tumor location estimation 25
4.2 Discussion 26
Chapter 5 Conclusion and Future work 31
REFERENCE 32
dc.language.isoen
dc.subject乳房X光攝影zh_TW
dc.subject自動乳房超音波zh_TW
dc.subject乳房表面偵測zh_TW
dc.subject影像對位zh_TW
dc.subjectAutomated Breast Ultrasound (ABUS)en
dc.subjecttumor mappingen
dc.subjectbreast border detectionen
dc.subjectmammographyen
dc.title2D乳房X光與自動乳房超音波的腫瘤對位zh_TW
dc.titleTumor of 2D Mammography Mapping in Automated Breast Ultrasounden
dc.typeThesis
dc.date.schoolyear105-1
dc.description.degree碩士
dc.contributor.oralexamcommittee陳啟禎,羅崇明
dc.subject.keyword自動乳房超音波,乳房X光攝影,乳房表面偵測,影像對位,zh_TW
dc.subject.keywordAutomated Breast Ultrasound (ABUS),mammography,breast border detection,tumor mapping,en
dc.relation.page33
dc.identifier.doi10.6342/NTU201603683
dc.rights.note有償授權
dc.date.accepted2016-10-19
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊工程學研究所zh_TW
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