Automatic Cardiac LV Segmentation in MRI Using Modified Graph Cuts with Smoothness and Interslice Constraints
Automatic Cardiac LV Segmentation in MRI Using Modified Graph Cuts with Smoothness and Interslice Constraints
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DOI：
10.1002/mrm.25079
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发表时间：
2014-12-01
影响因子：
3.3
通讯作者：
Frangi, Alejandro F.
中科院分区：
文献类型：
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作者：
Alba, Xenia;Figueras i Ventura, Rosa M.;Frangi, Alejandro F.
目的磁共振成像（MRI），特别是后期增强MRI，是评估心脏活力的标准临床成像方案。心肌壁分割是此评估的先决条件。自动和鲁棒的多序列分割需要支持处理大量的数据。方法提出了一种通用的基于规则的左心室心肌自动分割框架。我们使用强度信息，并包括形状和片间平滑约束，为受试者和研究特定的变化提供鲁棒性。我们的自动初始化考虑了左心室的几何和外观属性，以及夹层信息。该分割算法采用一种带有控制点的解耦、改进的图割方法，在灵活性和鲁棒性之间提供了良好的平衡。结果对来自20例患者内部数据库的晚期增强MRI图像和来自15例患者开放获取数据库的电影MRI图像进行了评估，两者都使用人工划定的轮廓作为参考。使用Dice系数测量的分割一致性在后期增强MRI和电影MRI中分别为0.810.05和0.92 +/- 0.04。该方法还与三维主动形状模型方法进行了比较。结论两个磁共振序列的实验验证提高了准确性和通用性。中华医学杂志，2014,32(2):557 - 557。(c) 2013 Wiley Periodicals, Inc.；
PurposeMagnetic resonance imaging (MRI), specifically late-enhanced MRI, is the standard clinical imaging protocol to assess cardiac viability. Segmentation of myocardial walls is a prerequisite for this assessment. Automatic and robust multisequence segmentation is required to support processing massive quantities of data.MethodsA generic rule-based framework to automatically segment the left ventricle myocardium is presented here. We use intensity information, and include shape and interslice smoothness constraints, providing robustness to subject- and study-specific changes. Our automatic initialization considers the geometrical and appearance properties of the left ventricle, as well as interslice information. The segmentation algorithm uses a decoupled, modified graph cut approach with control points, providing a good balance between flexibility and robustness.ResultsThe method was evaluated on late-enhanced MRI images from a 20-patient in-house database, and on cine-MRI images from a 15-patient open access database, both using as reference manually delineated contours. Segmentation agreement, measured using the Dice coefficient, was 0.810.05 and 0.92 +/- 0.04 for late-enhanced MRI and cine-MRI, respectively. The method was also compared favorably to a three-dimensional Active Shape Model approach.ConclusionThe experimental validation with two magnetic resonance sequences demonstrates increased accuracy and versatility. Magn Reson Med 72:1775-1784, 2014. (c) 2013 Wiley Periodicals, Inc.