Metz Coert, Baka Nora, Kirisli Hortense, Schaap Michiel, van Walsum Theo, Klein Stefan, Neefjes Lisan, Mollet Nico, Lelieveldt Boudewijn, de Bruijne Marleen, Niessen Wiro
Dept. of Rad. and Med. Informatics, Erasmus MC, Rotterdam, The Netherlands.
Med Image Comput Comput Assist Interv. 2010;13(Pt 1):452-9. doi: 10.1007/978-3-642-15705-9_55.
We propose a conditional statistical shape model to predict patient specific cardiac motion from the 3D end-diastolic CTA scan. The model is built from 4D CTA sequences by combining atlas based segmentation and 4D registration. Cardiac motion estimation is, for example, relevant in the dynamic alignment of pre-operative CTA data with intra-operative X-ray imaging. Due to a trend towards prospective electrocardiogram gating techniques, 4D imaging data, from which motion information could be extracted, is not commonly available. The prediction of motion from shape information is thus relevant for this purpose. Evaluation of the accuracy of the predicted motion was performed using CTA scans of 50 patients, showing an average accuracy of 1.1 mm.
我们提出了一种条件统计形状模型，用于从三维舒张末期CTA扫描预测患者特定的心脏运动。该模型通过结合基于图谱的分割和四维配准，由四维CTA序列构建而成。例如，心脏运动估计在术前CTA数据与术中X光成像的动态对齐中具有重要意义。由于前瞻性心电图门控技术的发展趋势，从中可以提取运动信息的四维成像数据并不常见。因此，从形状信息预测运动对于此目的具有重要意义。使用50名患者的CTA扫描对预测运动的准确性进行了评估，平均准确率为1.1毫米。
