Automatic multi-organ segmentation of prostate magnetic resonance images using watershed and nonsubsampled contourlet transform
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- 作者：Zhe Huanga ; Shan Jianga ; shanjmri@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Zhiyong Yanga ; Yabin Dinga ; Wei Wangb ; Yan Yuc
- 关键词：Prostate magnetic resonance image ; Multi-organ segmentation ; Multi-scaled geometric image analysis ; Watershed
- 刊名：Biomedical Signal Processing and Control
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：25
- 期：Complete
- 页码：53-61
- 全文大小：1792 K
文摘
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An automatic multi-organ segmentation method of prostate magnetic resonance images is proposed.
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The series of procedure is composed of decomposition, segmentation, and reconstitution.
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The decomposition and reconstitution are based on contrast à trous wavelet based wavelet transform.
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Marker-based watershed algorithm using texture gradient is used to implement segmentation.
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The main tissues in prostate magnetic resonance images can be obtained by the proposed method.