Dynamic updating atlas for heart segmentation with a nonlinear field-based model
Dynamic updating atlas for heart segmentation with a nonlinear field-based model
复制标题
使用基于非线性场的模型进行心脏分割的动态更新图集
DOI：
10.1002/rcs.1785
复制
发表时间：
2016
影响因子：
2.5
通讯作者：
Liu Feng
中科院分区：
文献类型：
--
作者：
Cai Ken;Yang Rongqian;Yue Hongwei;Li Lihua;Ou Shanxing;Liu Feng
背景心脏计算机断层扫描（CT）图像的分割是评估心肺动态功能的有效方法。在基于图谱的心脏分割方法中，分割的质量通常依赖于图谱图像，而参考图像的选择是关键步骤。该选择过程的最佳目标是使参考图像尽可能接近目标图像。方法本研究提出了一种使用非线性变形场方案的图集动态更新算法。所提出的方法基于双源CT（DSCT）切片的特征。这些特征的提取将形成构建平均模型的基础，并且在配准过程中更新创建的参考图集图像。基于非线性场的模型被用来有效地实现 4D 心脏分割。结果所提出的分割框架通过 14 个 4D 心脏 CT 序列进行了验证。该算法达到了可接受的精度（1.0–2.8 mm）。结论我们提出的方法结合了基于非线性场的模型和动态更新图集策略，可以为整个心脏分割提供有效且准确的方法。该方法的成功很大程度上依赖于图谱先验知识的有效利用以及待分割DSCT序列之间探索的相似性。
BackgroundSegmentation of cardiac computed tomography (CT) images is an effective method for assessing the dynamic function of the heart and lungs. In the atlas‐based heart segmentation approach, the quality of segmentation usually relies upon atlas images, and the selection of those reference images is a key step. The optimal goal in this selection process is to have the reference images as close to the target image as possible.MethodsThis study proposes an atlas dynamic update algorithm using a scheme of nonlinear deformation field. The proposed method is based on the features among double‐source CT (DSCT) slices. The extraction of these features will form a base to construct an average model and the created reference atlas image is updated during the registration process. A nonlinear field‐based model was used to effectively implement a 4D cardiac segmentation.ResultsThe proposed segmentation framework was validated with 14 4D cardiac CT sequences. The algorithm achieved an acceptable accuracy (1.0–2.8 mm).ConclusionOur proposed method that combines a nonlinear field‐based model and dynamic updating atlas strategies can provide an effective and accurate way for whole heart segmentation. The success of the proposed method largely relies on the effective use of the prior knowledge of the atlas and the similarity explored among the to‐be‐segmented DSCT sequences.