Efficient liver segmentation in CT images based on graph cuts and bottleneck detection

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• 作者：Miao Liao^a ; ^b ; Yu-qian Zhao^b ; ^{zyq@csu.edu.cn} ; Wei Wang^c ; ^{cjr.wangwei@vip.163.com} ; Ye-zhan Zeng^b ; Qing Yang^b ; Frank Y. Shih^d ; Bei-ji Zou^b
• 关键词：Liver segmentation ; Graph cuts ; Bottleneck detection ; Gaussian fitting ; PCA
• 刊名：Physica Medica
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：32
• 期：11
• 页码：1383-1396
• 全文大小：5025 K
• 卷排序：32

文摘

The pixel-, patch-based and inter-slice based features are used for segmentation. A novel boundary refinement method is proposed to avoid over-segmentations. Our method outperforms several existing methods on liver segmentation. Our method can also be applied in some other abdominal organ segmentation.