利用群体CT计划图像的多任务前列腺自动分割

doi:10.3969/j.issn.0255-8297.2017.01.011

应用科学学报 ›› 2017, Vol. 35 ›› Issue (1): 99-106.doi: 10.3969/j.issn.0255-8297.2017.01.011

利用群体CT计划图像的多任务前列腺自动分割

戴修斌¹, 邓黄健², 刘代富¹, 刘可¹, 周青蓉¹

1. 南京邮电大学地理与生物信息学院, 南京 210023;
2. 南京邮电大学通信与信息工程学院, 南京 210003

收稿日期:2016-08-07 修回日期:2016-10-08 出版日期:2017-01-30 发布日期:2017-01-30
作者简介:戴修斌,博士,副研究员,研究方向:医学图像处理、机器学习,E-mail:daixb@njupt.edu.cn
基金资助:
国家自然科学基金（No.31671006）资助

Multi-task Automatic Prostate Segmentation with Group CT Planning Images

DAI Xiu-bin¹, Deng Huang-jian², LIU Dai-fu¹, LIU Ke¹, ZHOU Qing-rong¹

1. College of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
2. College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2016-08-07 Revised:2016-10-08 Online:2017-01-30 Published:2017-01-30

摘要/Abstract

摘要：

为了实现CT计划图像中前列腺的自动分割，提出一种基于群体CT计划图像的多任务前列腺分割方法.将群体CT计划图像分别映射到不同参考图像空间，形成多个训练任务.利用随机森林算法和自动上下文模型训练出一系列随机森林分类器，将分类器作用在待分割CT计划图像上获得多个分类概率图，最后使用多数投票法求得最终分割结果.实验表明，与单任务分割方法相比，基于群体CT图像的多任务分割能有效提高CT计划图像中前列腺的分割准确率.

关键词: CT计划图像, 群体图像, 放射治疗, 前列腺分割, 多训练任务

Abstract:

To automatically and accurately segment prostates in CT planning images, a multi-task CT prostate segmentation method is proposed based on group images.The group images with those from other patients are frst mapped to various spaces of reference images to form a multiple training task.The random forest method and the automatic context model are used to train a series of classifers.The trained classifers are then iteratively applied to CT images to be segmented.Multiple classifcation probability maps are thus produced.The fnal segmentation result is obtained using a majority voting method.Experimental results show that, compared with single-task segmentation, proposed multi-task segmentation based on group images can effectively improve accuracy of prostate segmentation for CT planning images.

Key words: group images, CT planning images, multiple training task, radiation treatment, prostate segmentation

中图分类号:

TP391

戴修斌, 邓黄健, 刘代富, 刘可, 周青蓉. 利用群体CT计划图像的多任务前列腺自动分割[J]. 应用科学学报, 2017, 35(1): 99-106.

DAI Xiu-bin, Deng Huang-jian, LIU Dai-fu, LIU Ke, ZHOU Qing-rong. Multi-task Automatic Prostate Segmentation with Group CT Planning Images[J]. Journal of Applied Sciences, 2017, 35(1): 99-106.

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利用群体CT计划图像的多任务前列腺自动分割

Multi-task Automatic Prostate Segmentation with Group CT Planning Images

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