Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration
Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration
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DOI：
10.1016/j.media.2012.05.010
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发表时间：
2012-08-01
影响因子：
10.9
通讯作者：
Woerz, Stefan
中科院分区：
文献类型：
--
作者：
Biesdorf, Andreas;Rohr, Karl;Woerz, Stefan
血管形态学的准确定量对于心血管疾病的诊断和治疗具有重要意义。我们介绍了一种新的联合分割和配准的主动脉弓形态的量化方法，结合3D模型为基础的分割与弹性图像配准。通过这种组合，该方法受益于基于模型的分割的鲁棒性和弹性配准的准确性。该方法可以科普大量的血管形状，特别是与用于分割的基础模型显著偏离的病理形状。已根据3D合成图像、3D体模数据和临床3D CTA图像（包括病理）评价了该方法的性能。我们还与以前的方法进行了定量比较。(c)2012 Elsevier B.V.保留所有权利。
Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new joint segmentation and registration approach for the quantification of the aortic arch morphology that combines 3D model-based segmentation with elastic image registration. With this combination, the approach benefits from the robustness of model-based segmentation and the accuracy of elastic registration. The approach can cope with a large spectrum of vessel shapes and particularly with pathological shapes that deviate significantly from the underlying model used for segmentation. The performance of the approach has been evaluated on the basis of 3D synthetic images, 3D phantom data, and clinical 3D CTA images including pathologies. We also performed a quantitative comparison with previous approaches. (c) 2012 Elsevier B.V. All rights reserved.