A Fast Framework for Kidney Segmentation in Ultrasound Images using NLTV Denoising and DRLSE
文献类型：会议论文
| 作者 | Fan Yang; Yaoqin Xie; Jia Gu; Lei Wang; Huailing Zhang |
| 出版日期 | 2012 |
| 会议名称 | International Symposia on Imaging and Signal Processing in Health Care and Technology, ISPHT 2012 |
| 会议地点 | Baltimore, MD, United states |
| 英文摘要 | Kidney segmentation is a key step in developing any ultrasound-based computer-aided diagnosis (CAD) systems for percutaneous renal intervention. In this paper, we propose a novel fast framework for kidney segmentation in ultrasound (US) images combined with nonlocal total variation (NLTV) image denoising and distance regularized level set evolution (DRLSE). We firstly use NLTV image denoising to get a denoised US image with the kidney region in almost homogenous intensity gray scale. Secondly, DRLSE is applied in the segmentation of kidney to get the final results. The effectiveness of this method is demonstrated through experimental results on both synthetic and US data compared with other image segmentation method. The sensitivity (SN), specificity (SP) and positive predictive value (PPV) of our segmentation result can reach 97%, 88% and 78% respectively; DRLSE method have corresponding values of 99%, 94%, 89% respectively. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4105]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Fan Yang,Yaoqin Xie,Jia Gu,et al. A Fast Framework for Kidney Segmentation in Ultrasound Images using NLTV Denoising and DRLSE[C]. 见:International Symposia on Imaging and Signal Processing in Health Care and Technology, ISPHT 2012. Baltimore, MD, United states. |
入库方式： OAI收割
来源：深圳先进技术研究院
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