Literature DB >> 18435250

[Application of GVF snake model in segmentation of whole body bone SPECT image].

Chunmei Zhu1, Lianfang Tian, Ping Chen, Lifei Wang, Guangchun Ye, Zongyuan Mao.   

Abstract

Limited by the imaging principle of whole body bone SPECT image, the gray value of bladder area is quite high, which affects the image's brightness, contrast and readability. In the meantime, the similarity between bladder area and focus makes it difficult for some images to be segmented automatically. In this paper, an improved Snake model, GVF Snake, is adopted to automatically segment bladder area, preparing for further processing of whole body bone SPECT images.

Mesh:

Year:  2008        PMID: 18435250

Source DB:  PubMed          Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi        ISSN: 1001-5515


  1 in total

1.  Deep learning based automatic segmentation of metastasis hotspots in thorax bone SPECT images.

Authors:  Qiang Lin; Mingyang Luo; Ruiting Gao; Tongtong Li; Zhengxing Man; Yongchun Cao; Haijun Wang
Journal:  PLoS One       Date:  2020-12-03       Impact factor: 3.240

  1 in total

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