Publication: Detection and Identification of Renal Stone Image Using Ultrasound Image
| dc.contributor | 曹建和 | en |
| dc.contributor.author | Chang, Li-Hsin | en |
| dc.creator | Chang, Li-Hsin | en |
| dc.date | 2005 | en |
| dc.date.accessioned | 2007-11-26T06:09:02Z | |
| dc.date.accessioned | 2018-07-06T09:50:01Z | |
| dc.date.available | 2007-11-26T06:09:02Z | |
| dc.date.available | 2018-07-06T09:50:01Z | |
| dc.date.issued | 2005 | |
| 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.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 | zh_TW |
| dc.identifier | zh-TW | en |
| dc.identifier.uri | http://ntur.lib.ntu.edu.tw//handle/246246/53121 | |
| dc.language | zh-TW | en |
| dc.language.iso | en_US | |
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| dc.subject | 超音波影像 | en |
| dc.subject | 影像處理 | en |
| dc.subject | 特徵擷取 | en |
| dc.subject | 影像偵測 | en |
| dc.subject | 影像辨識 | en |
| dc.subject | Ultrasonic image | en |
| dc.subject | Image processing | en |
| dc.subject | Feature extraction | en |
| dc.subject | Image detection | en |
| dc.subject | Image identification | en |
| dc.subject.classification | [SDGs]SDG3 | |
| dc.title | Detection and Identification of Renal Stone Image Using Ultrasound Image | en |
| dc.type | thesis | en |
| dspace.entity.type | Publication |