Greedy active contour detection for median nerve on strain sonographic images
作者： Chii-Jen Chen , You-Wei Wang , Sheng-Fang Huang , Yi-Shiung Horng
DOI: 10.1007/978-3-319-12286-1_32
关键词: Active contour model 、 Ultrasound 、 Computer science 、 Biomedical engineering 、 Median nerve 、 Carpal tunnel syndrome 、 Ultrasonography 、 Ultrasound image
摘要: Carpal tunnel syndrome (CTS) is commonly occurred in occupations using vibrating manual tools or handling tasks with highly repetitive and forceful exertion. Recently, the ultrasonography has been used to evaluate CTS by monitoring median nerve movements. In order facilitate automatic extraction of shape characteristics for nerve, this paper designed a procedure that greedy active contour detection model (GACD) detect edge ultrasound image. We selected ROI be an initial virtual original That can enhance sensitivity proposed GACD nerve. experiment, results show performance method feasible accurate.
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