基于模型的联合分割与弹性配准用于主动脉弓的精确量化
Combined model-based segmentation and elastic registration for accurate quantification of the aortic arch.
作者信息
Biesdorf Andreas, Rohr Karl, von Tengg-Kobligk Hendrik, Wörz Stefan
机构信息
Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, BIOQUANT, IPMB, and DKFZ Heidelberg.
出版信息
Med Image Comput Comput Assist Interv. 2010;13(Pt 1):444-51. doi: 10.1007/978-3-642-15705-9_54.
Accurate quantification of the morphology of vessels is important for diagnosis and treatment of cardiovascular diseases. We introduce a new approach for the quantification of the aortic arch morphology that combines 3D model-based segmentation with elastic image registration. The performance of the approach has been evaluated using 3D synthetic images and clinically relevant 3D CTA images including pathologies. We also performed a comparison with a previous approach.
准确量化血管形态对于心血管疾病的诊断和治疗至关重要。我们引入了一种新的方法来量化主动脉弓形态，该方法将基于3D模型的分割与弹性图像配准相结合。已使用3D合成图像和包括病变在内的临床相关3D CTA图像对该方法的性能进行了评估。我们还与之前的方法进行了比较。
Zotero 插件