基于改进DRLSE模型的前列腺磁共振图像分割

doi:10.11938/cjmr20192786

波谱学杂志 ›› 2020, Vol. 37 ›› Issue (4): 447-455.doi: 10.11938/cjmr20192786

所属专题：虚拟专刊：MRI方法与应用

基于改进DRLSE模型的前列腺磁共振图像分割

朱泽华¹, 闫士举¹, 阮渊², 韩邦旻²

1. 上海理工大学医疗器械与食品学院, 上海 200093;
2. 上海市第一人民医院泌尿外科, 上海 200080

收稿日期:2019-10-21 出版日期:2020-12-05 在线发表日期:2019-12-26
通讯作者: 朱泽华,Tel:15921923767,E-mail:573391197@qq.com;闫士举,Tel:18217617984,E-mail:yanshiju@usst.edu.cn. E-mail:573391197@qq.com;yanshiju@usst.edu.cn
基金资助:
国家自然科学基金资助项目（81572530）.

Segmentation of Prostate Magnetic Resonance Images Based on an Improved Distance Regularized Level Set Evolution (DRLSE) Model

ZHU Ze-hua¹, YAN Shi-ju¹, RUAN Yuan², HAN Bang-min²

1. School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
2. Department of Urology, Shanghai First People's Hospital, Shanghai 200080, China

Received:2019-10-21 Published:2020-12-05 Online:2019-12-26

摘要/Abstract

摘要： 在图像引导下的前列腺磁共振图像分割的介入诊断与治疗具有重要意义.本文对距离正则化水平集演化（DRLSE）方法进行了改进并用于前列腺磁共振图像分割.前列腺磁共振图像中靠近膀胱一侧边界较为模糊，靠近尿道一侧及左右两侧边界较为清晰，仅用传统的梯度信息指示函数无法达到理想分割结果.本研究分别采用两个指示函数控制边界清晰段及模糊段的演化，以达到准确分割的目的.此外，还在外部能量函数中增加了能量牵制项，避免演化在虚假边界停止，驱使水平集向灰度波动较大的区域移动，并能在模糊边界停止演化.实验表明利用本方法进行前列腺磁共振图像分割的效果较好；Dice相似性系数（DSC）均值达到96%，接近专家手动分割结果.

关键词: 距离正则化水平集, 指示函数, 演化曲线, 能量牵制项

Abstract: Segmentation of prostate magnetic resonance images is of great significance in the interventional diagnosis and treatment of prostate diseases. In this work, the conventional distance regularized level set evolution (DRLSE) model is improved and applied to prostate segmentation. In magnetic resonance image, the prostate boundary near the bladder is often blurred, while that near the urethra is clear, resulting in a poor performance for the traditional gradient information indicator function. In this study, two indicator functions were used to control the evolution of boundary in the clear segment and blurred segment, respectively, to achieve better segmentation. In addition, an energy check term was added to the external energy function to prevent evolution from stopping at a false boundary. This modification could drive the level set to move to regions with large gray level fluctuation and stop evolution at a blurred boundary. Experimental results demonstrated that the performance of prostate segmentation was satisfactory, judging from the Dice similarity coefficient (DSC) which reached an average of 96%.

Key words: distance regularized level set, indicator function, evolution curve, energy constraint

中图分类号:

O482.53

朱泽华, 闫士举, 阮渊, 韩邦旻. 基于改进DRLSE模型的前列腺磁共振图像分割[J]. 波谱学杂志, 2020, 37(4): 447-455.

ZHU Ze-hua, YAN Shi-ju, RUAN Yuan, HAN Bang-min. Segmentation of Prostate Magnetic Resonance Images Based on an Improved Distance Regularized Level Set Evolution (DRLSE) Model[J]. Chinese Journal of Magnetic Resonance, 2020, 37(4): 447-455.

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基于改进DRLSE模型的前列腺磁共振图像分割

Segmentation of Prostate Magnetic Resonance Images Based on an Improved Distance Regularized Level Set Evolution (DRLSE) Model

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