Publication: Detection and Identification of Renal Stone Image Using Ultrasound Image
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Date
2005
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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
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Keywords
超音波影像, 影像處理, 特徵擷取, 影像偵測, 影像辨識, Ultrasonic image, Image processing, Feature extraction, Image detection, Image identification