Patient-specific probabilistic atlas combining modified distance regularized level set for automatic liver segmentation in CT

IF 1.5 4区 医学 Q3 SURGERY
Jinke Wang, Hongliang Zu, Haoyan Guo, R. Bi, Yuanzhi Cheng, S. Tamura
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引用次数: 5

Abstract

Abstract Liver segmentation from CT is regarded as a prerequisite for computer-assisted clinical applications. However, automatic liver segmentation technology still faces challenges due to the variable shapes and low contrast. In this paper, a patient-specific probabilistic atlas (PA)-based method combing modified distance regularized level set for liver segmentation is proposed. Firstly, the similarities between training atlases and testing patient image are calculated, resulting in a series of weighted atlas, which are used to generate the patient-specific PA. Then, a most likely liver region (MLLR) can be determined based on the patient-specific PA. Finally, the refinement is performed by the modified distance regularized level set model, which takes advantage of both edge and region information as balloon force. We evaluated our proposed scheme based on 35 public datasets, and experimental result shows that the proposed method can be deployed for robust and precise liver segmentation, to replace the tedious and time-consuming manual method.
结合改进距离正则化水平集的患者特异性概率图谱用于CT肝脏自动分割
摘要CT肝脏分割是计算机辅助临床应用的前提。然而,由于形状多变和对比度低,自动肝脏分割技术仍然面临挑战。本文提出了一种结合改进的距离正则化水平集的基于患者特异性概率图谱(PA)的肝脏分割方法。首先,计算训练图谱和测试患者图像之间的相似性,得到一系列加权图谱,用于生成患者特异性PA。然后,可以基于患者特异性PA确定最可能的肝脏区域(MLLR)。最后,通过修改的距离正则化水平集模型进行细化,其利用边缘和区域信息作为气球力。我们基于35个公共数据集对我们提出的方案进行了评估,实验结果表明,该方法可以用于鲁棒和精确的肝脏分割,以取代繁琐和耗时的手动方法。
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来源期刊
Computer Assisted Surgery
Computer Assisted Surgery Medicine-Surgery
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
10 weeks
期刊介绍: omputer Assisted Surgery aims to improve patient care by advancing the utilization of computers during treatment; to evaluate the benefits and risks associated with the integration of advanced digital technologies into surgical practice; to disseminate clinical and basic research relevant to stereotactic surgery, minimal access surgery, endoscopy, and surgical robotics; to encourage interdisciplinary collaboration between engineers and physicians in developing new concepts and applications; to educate clinicians about the principles and techniques of computer assisted surgery and therapeutics; and to serve the international scientific community as a medium for the transfer of new information relating to theory, research, and practice in biomedical imaging and the surgical specialties. The scope of Computer Assisted Surgery encompasses all fields within surgery, as well as biomedical imaging and instrumentation, and digital technology employed as an adjunct to imaging in diagnosis, therapeutics, and surgery. Topics featured include frameless as well as conventional stereotactic procedures, surgery guided by intraoperative ultrasound or magnetic resonance imaging, image guided focused irradiation, robotic surgery, and any therapeutic interventions performed with the use of digital imaging technology.
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