Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies

机译：纵向脑肿瘤影像学研究的时空综合分割

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摘要

Consistent longitudinal segmentation of brain tumor images is a critical issue in treatment monitoring and in clinical trials. Fully automatic segmentation methods are a good candidate for reliably detecting changes of tumor volume over time. We propose an integrated 4D spatio-temporal brain tumor segmentation method, which combines supervised classification with conditional random field regularization in an energy minimization scheme. Promising results and improvements over classic 3D methods for monitoring the temporal volumetric evolution of necrotic, active and edema tumor compartments are demonstrated on a longitudinal dataset of glioma patient images from a multi-center clinical trial. Thanks to its speed and simplicity the approach is a good candidate for standard clinical use.

机译：脑肿瘤图像的一致纵向分割是治疗监测和临床试验中的关键问题。全自动分割方法是可靠地检测肿瘤体积随时间变化的理想选择。我们提出了一种集成的4D时空脑肿瘤分割方法，该方法将监督分类与条件随机场正则化结合在一个能量最小化方案中。在来自多中心临床试验的神经胶质瘤患者图像的纵向数据集中，证明了有希望的结果和对监测坏死，活动和水肿肿瘤区室的时间体积演变的经典3D方法的改进。由于其速度和简便性，该方法是标准临床使用的理想选择。

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来源
《Medical computer vision : large data in medical imaging》|2013年|74-83|共10页
会议地点 Nagoya(JP)
作者
Stefan Bauer; Jean Tessier; Oliver Krieter; Lutz-P. Nolte; Mauricio Reyes;
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作者单位

ISTB, University of Bern, Bern, Switzerland;

F. Hoffmann-La Roche Ltd., Basel, Switzerland;

Roche Diagnostics GmbH, Penzberg, Germany;

ISTB, University of Bern, Bern, Switzerland;

ISTB, University of Bern, Bern, Switzerland;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Brain tumor; Glioma; Longitudinal studies; Segmentation; Volumetric analysis;

机译：脑肿瘤;胶质瘤;纵向研究；分割;体积分析;

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专利

1. Segmentation of longitudinal brain MR images using bias correction embedded fuzzy c-means with non-locally spatio-temporal regularization [J] . Feng Chaolu, Zhao Dazhe, Huang Min Journal of visual communication & image representation . 2016,第jula期

机译：使用非局部时空正则化的偏差校正嵌入式模糊c均值分割纵向脑MR图像
2. Brain Tumor Segmentation in MRI Images Using Integrated Modified PSO-Fuzzy Approach [J] . Krishna Priya Remamany, Thangaraj Chelliah, Kesavadas Chandrasekaran, The international arab journal of information technology . 2015,第6Appa期

机译：使用集成改进的PSO-模糊方法在MRI图像中进行脑肿瘤分割
3. Integrated Segmentation of Brain Tumor Images for Radiotherapy and Neurosurgery [J] . Stefan Bauer, Huanxiang Lu, Christian P. May, International journal of imaging systems and technology . 2013,第1期

机译：用于放射治疗和神经外科的脑肿瘤图像的综合分割
4. Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies [C] . Stefan Bauer, Jean Tessier, Oliver Krieter, International MICCAI workshop on medical computer vision . 2014

机译：纵向脑肿瘤成像研究的综合时空分割
5. Computer Aided Segmentation and Early Therapeutic Response Classification (CADrx) for Glioblastoma Multiforme (GBM) Brain Tumors with Magnetic Resonance Imaging [D] . Huo, Jing 2012

机译：磁共振成像用于多形性胶质母细胞瘤（GBM）脑瘤的计算机辅助分割和早期治疗反应分类（CADrx）
6. Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies [O] . Lior Weizman, Liat Ben Sira, Leo Joskowicz, -1

机译：纵向脑MRI研究中多组分低度肿瘤的半自动分割和随访
7. Integrated Segmentation of Brain Tumor Images for Radiotherapy and Neurosurgery [O] . Bauer Stefan, Lu Huanxiang, May Christian P., 2013

机译：用于放射治疗和神经外科的脑肿瘤图像的综合分割

Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies

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