A segmentation method for CT images of livers based on entropy minimization of pixel density distribution

Masaki Ishiguro; Ichiro Murase; Shingo Inoue; Noriyuki Moriyama; Ryuzo Sekiguchi

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A segmentation method for CT images of livers based on entropy minimization of pixel density distribution

机译：基于像素密度分布熵最小化的肝脏CT图像分割方法

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摘要

We propose an image segmentation method based on gradient of pixel intensity in CT images of livers and show some experimental results. Image segmentation for tumors in CT images of libers based on edge detection is difficult, because difference of pixel intensity between tumors and other regions is small compared with cases in other organs, and because tumors in liver contains mosaic structure. In order to improves the traditional segmentation method based on minimization of entropy CT pixel intensity, we define a three-dimensional density distribution of pixels composed of x, y-axis and axis of CT intensity. By minimizing this density distribution, we can obtain segments whose thresholds are determined based on gradient of boundary of tumors in various positions.

机译：我们提出了一种基于像素强度梯度的肝脏CT图像图像分割方法，并显示了一些实验结果。由于边缘与其他器官相比，肿瘤与其他区域之间的像素强度差异较小，并且肝脏中的肿瘤包含镶嵌结构，因此基于边缘检测的解放者CT图像中的肿瘤图像很难分割。为了改进基于最小熵CT像素强度的传统分割方法，我们定义了由x，y轴和CT强度轴组成的三维像素密度分布。通过最小化这种密度分布，我们可以获得基于各种位置的肿瘤边界梯度确定其阈值的片段。

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来源
《電子情報通信学会技術研究報告. 医用画像. Medical Imaging》 |2001年第310期|共6页
作者
Masaki Ishiguro; Ichiro Murase; Shingo Inoue; Noriyuki Moriyama; Ryuzo Sekiguchi;
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正文语种 jpn
中图分类通信理论;
关键词
Segmentation; Entropy; Edge detection; Pattern recognition; Liver tumors; CT images;

机译：分割;熵;边缘检测;模式识别;肝肿瘤;CT图像;

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1. A segmentation method for CT images of livers based on entropy minimization of pixel density distribution [J] . Masaki Ishiguro, Ichiro Murase, Shingo Inoue, 電子情報通信学会技術研究報告. 医用画像. Medical Imaging . 2001,第310期

机译：基于像素密度分布熵最小化的肝脏CT图像分割方法
2. Segmentation of embryonic and fetal 3D ultrasound images based on pixel intensity distributions and shape priors [J] . Dahdouh Sonia, Angelini Elsa D., Grange Gilles, Medical image analysis . 2015,第1期

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3. An Image Segmentation Method Based on Renyi Relative Entropy and Gaussian Distribution [J] . Nie Fangyan, Zhang Pingfeng, Li Jianqi, Recent patents on computer science . 2017,第2期

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4. Liver CT image segmentation by local entropy method [C] . Xu Yi, Liu Zhong, Ji Lin 2010 International Conference on Computer Application and System Modeling . 2010

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A segmentation method for CT images of livers based on entropy minimization of pixel density distribution

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