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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guokuan Li Sha Lu Zhifang Min Junbo Li Xiangyang Xu Enmin Song |
| Copyright Year | 2007 |
| Description | Author affiliation: Center of Biomed. Imaging & Bioinf., Huazhong Univ. of Sci. & Technol., Wuhan (Guokuan Li; Sha Lu; Zhifang Min; Junbo Li; Xiangyang Xu; Enmin Song) |
| Abstract | The shape, volume and location of the prostate are essentially important information in prostate cancer diagnosis and treatment, e.g. ultrasound-guided biopsy and brachytherapy. In this paper, 3D boundary of the prostate is reconstructed from a series of 2D transrectal ultrasound (TRUS) images. Manual outlining of the prostate is tedious, time-consuming, and greatly dependent on the operator's experience, so a semi-automatic segmentation method is used to generate 2D contours of the prostate using a modified discrete dynamic contour (DDC) method. Contour-based surface reconstruction technique is employed to construct 3D surface of the prostate. The performance of modified DDC method is evaluated by comparing the semi-automatically segmented contours with those outlined by an expert with distance-based and area-based metrics. The average distance between the semi-automatically and manually outlined contours is less than 3 pixels ~ 0.44 mm. 3D surface of the prostate from 2D TRUS images is visualized using OpenGL technique. |
| Starting Page | 940 |
| Ending Page | 943 |
| File Size | 888439 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424411203 |
| DOI | 10.1109/ICBBE.2007.244 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-06 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Surface reconstruction Image segmentation Ultrasonic imaging Shape Image edge detection Biopsy Reconstruction algorithms Brachytherapy Prostate cancer Image reconstruction |
| Content Type | Text |
| Resource Type | Article |
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