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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 曹建和 | |
| dc.contributor.author | Li-Hsin Chang | en |
| dc.contributor.author | 張立欣 | zh_TW |
| dc.date.accessioned | 2021-06-13T08:04:48Z | - |
| dc.date.available | 2006-07-26 | |
| dc.date.copyright | 2005-07-26 | |
| dc.date.issued | 2005 | |
| dc.date.submitted | 2005-07-21 | |
| dc.identifier.citation | [1] 王中敬，「細說尿路結石」，宏欣文化，1997
[2] M.-A. Kuwahara, K. Kambe and K. Tagychi, “Initial experience using a new type extracorporeal lithotripter with an anti-missshot control device,”J. Lithotripsy Stone , 3: 141,1991 [3] M. Orkisz, T. Farchtchian, D. Saighi, M. Bourlion, N. Thiounn, G. Gimenez, B. Debre, and T.A. Flam, “ Image Based Renal Stone Tracking to Improve Efficacy in Extracorporeal Lithotripsy” J. Urology, Vol. 160 pp.1237-1240,1998 [4] M. Orkisz, M. Bourlion, G. Gimenez, and T.A, Flam, “ Real-time target tracking applied to improve fragmentation of renal stones in extra-corporeal lithotripsy”, Machine Vision and Applications, 11: 138-144,1999 [5] 陳一弘，「體外震波碎石術的影像分析之研究」，成功大學電機工程研究所碩士論文，1998 [6] 儲正奮，「體外震波碎石機結石自動追蹤之研究」，成功大學電機工程研究所碩士論文，2000 [7] 郭昭霖，「體外震波碎石機自動追蹤系統」，成功大學醫學工程研究所碩士論文，2000 [8] 魯祿康，「體外震波碎石機改良追蹤系統之性能評估」，成功大學航空太空工程研究所碩士論文，2004 [9] A. J. Coleman et al “An experimental shock wave generator for lithotripsy studies”1989 Phys. Med. Biol. 34 1733-1742 [10] R. E. Sosa et al, ”Text book of Endourlogy”, W.B. Saunders Company, 1997 [11] Cathignol, D. Chapelon, J.Y. Birer, A. Nachef, S. “Piezoelectric Shock Wave Generator with Electronic Focusing”, Ultrasonics Symposium, 1991. Proceedings., IEEE 1991 [12] 林文澧等著，「醫用超音波原理及技術」 ，醫學工程教科書大綱 6，教育部，民89[2000] [13] 李覃等作；李三剛，張世忠主編，「泌尿系統超音波學」， 慈濟文化 民82[1993] [14] W.K. Pratt, “Digital Image Processing ,” New York : Wiley, c2001 [15] SC Davies, AL Hill, RB Holmes, M Halliwell, PC Jackson.,” Ultrasound quantitation of respiratory organ motion in the upper abdomen.”, The British Journal of Radiology, 1994 Nov;67(803):1096-102. [16] Suramo I, Paivansalo M, Myllyla V.,” Cranio-caudal movements of the liver, pancreas and kidneys in respiration.”, Acta Radiol Diagn (Stockh). 1984; 25(2):129-31. [17] Schwartz LH, Richaud J, Buffat L, Touboul E, Schlienger M., “Kidney mobility during respiration.” Radiotherapy and Oncology 1994 Jul;32(1):84-6. [18] E. Peli ,“Contrast in Complex Images,” Journal of Optical Society America vol. 7, No.10,Oct.1990 [19] M. Mulet-Parada, J.A. Noble “2D+T acoustic boundary detection in echocardiography”, Medical Image Analysis 4 (2000) pp.21~30 [20] Jain, J.R. and Jain, A.K. “Displacement measurement and its application in interframe coding”, IEEE Transaction on Communication , COM 29:1799,1981 [21] 陳必衷，蝴蝶影像內容檢索，國立臺灣大學資訊工程學硏究所碩士論文，民89[2000] [22] D. Marr and E. Hildreth. Theory of edge detection. Proc. R. Soc. Lond. B., 207:187–217, 1980 [23] Jenho Tsao, Li-Hsin Chang and Chia-Hung Lin, “Ultrasonic Renal-Stone Detection and Identification for Extracorporeal Lithotripsy”, IEEE EMBC 2005, Shanhai, Sept. 2005. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/36541 | - |
| dc.description.abstract | 腎結石在現代已經成為一種很普遍的疾病，一種最常用的治療方式是震波碎石治療。然而，現行的震波碎石治療由於缺乏一自動偵測腎結石位置的機制，使得震波常未準確聚焦在結石位置，不但降低治療效率，更會對人體組織產生不可忽視的傷害。本研究提出一偵測演算法，利用結石於超音波影像中具有高亮度及具有陰影之特性，先以亮點偵測於畫面中找出可能為結石的亮點位置，再以對比估測來判定一亮點是否具有陰影，可以自動於超音波影像中偵測出結石位置，以期能夠改善震波碎石治療的效果並減少副作用。 | zh_TW |
| dc.description.abstract | Kidney stone is a popular disease in recent time. One kind of popular treatment is Extracorporeal Shock Wave Lithotripter (ESWL). Existing ESWL is lack of an automatic method to detect the position of kidney stone, so the shock wave miss-shot often happens. This situation often causes damage in human body. This research presents a practicable algorithm, using the property that stone in ultrasonic image has high gray level and shadow. First we find some possible positions of stone by spot detection, then we use contrast estimation to determine whether a spot is a stone or not. We can detect position of stone automatically in ultrasonic image. We hope this algorithm can improve ESWL treatment and reduce side effect | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T08:04:48Z (GMT). No. of bitstreams: 1 ntu-94-R92921109-1.pdf: 781773 bytes, checksum: 132d0f92eef136d697b78c3de8ed36ca (MD5) Previous issue date: 2005 | en |
| dc.description.tableofcontents | 第一章 緒論...................................... 1
1.1 前言........................................ 1 1.2 震波碎石治療的發展.......................... 2 1.3 研究動機及範圍.............................. 4 1.4 研究流程..................................... 5 1.5 論文架構................................... 5 第二章 原理探討..................................... 7 2.1 體外震波碎石機原理簡介....................... 7 2.2 超音波原理簡介............................. 11 2.3 腎結石超音波影像之特徵....................... 13 2.4 腎結石之運動模式............................. 14 2.5 現有方法之探討............................... 16 2.6 特徵擷取..................................... 18 第三章 結石偵測與辨識............................... 21 3.1 亮點偵測................................. 22 3.1.1 亮點偵測器的設計與參數調整................ 22 3.1.2 局部強點偵測器之設計......................... 33 3.2 軸向對比估測................................. 36 3.3 橫向對比估測...................................... 39 第四章 結果與討論.................................. 43 4.1 使用Log-cosine濾波器之結果................... 43 4.1.1 亮點特徵統計分佈............................. 43 4.1.2 對比指標統計分佈............................ 47 4.1.3 偵測與辨識結果.............................. 49 4.2 使用LoG濾波器之結果.............................. 50 4.2.1 亮點特徵統計分佈............................. 50 4.2.2 對比指標統計分佈............................. 53 4.2.3 偵測與辨識結果............................. 55 第五章 結論與未來工作..........................56 參考文獻............................................ 57 | |
| dc.language.iso | zh-TW | |
| dc.subject | 超音波影像 | zh_TW |
| dc.subject | 影像處理 | zh_TW |
| dc.subject | 影像偵測 | zh_TW |
| dc.subject | 影像辨識 | zh_TW |
| dc.subject | 特徵擷取 | zh_TW |
| dc.subject | Image processing | en |
| dc.subject | Image identification | en |
| dc.subject | Image detection | en |
| dc.subject | Feature extraction | en |
| dc.subject | Ultrasonic image | en |
| dc.title | 使用超音波影像之腎結石影像偵測與辨識 | zh_TW |
| dc.title | Detection and Identification of Renal Stone Image Using Ultrasound Image | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 93-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 鄭建華,郭益源 | |
| dc.subject.keyword | 超音波影像,影像處理,特徵擷取,影像偵測,影像辨識, | zh_TW |
| dc.subject.keyword | Ultrasonic image,Image processing,Feature extraction,Image detection,Image identification, | en |
| dc.relation.page | 59 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2005-07-21 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位： | 電機工程學系 | |
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