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基于生物力学的弹性乳腺配准:使用质量张量模拟

Biomechanically based elastic breast registration using mass tensor simulation.

作者信息

Roose Liesbet, Mollemans Wouter, Loeckx Dirk, Maes Frederik, Suetens Paul

机构信息

Medical Image Computing (Radiology - ESAT/PSI), Faculties of Medicine and Engineering, University Hospital, Gasthuisberg, Herestraat 49, B-3000 Leuven, Belgium.

出版信息

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):718-25. doi: 10.1007/11866763_88.

Abstract

We present a new approach for the registration of breast MR images, which are acquired at different time points for observation of lesion evolution. In this registration problem, it is of utmost importance to correct only for differences in patient positioning and to preserve other diagnostically important differences between both images, resulting from anatomical and pathological changes between both acquisitions. Classical free form deformation algorithms are therefore less suited, since they allow too large local volume changes and their deformation is not biomechanically based. Instead of adding constraints or penalties to these methods in order to restrict unwanted deformations, we developed a truly biomechanically based registration method where the position of skin and muscle surface are used as the only boundary conditions. Results of our registration method show an important improvement in correspondence between the reference and the deformed floating image, without introducing physically implausible deformations and within a short computational time.

摘要

我们提出了一种用于乳腺磁共振图像配准的新方法,这些图像是在不同时间点采集的,用于观察病变的演变。在这个配准问题中,仅校正患者体位差异并保留两次图像之间由两次采集之间的解剖和病理变化导致的其他重要诊断差异至关重要。因此,经典的自由形式变形算法不太适用,因为它们允许过大的局部体积变化,并且其变形不是基于生物力学的。我们没有对这些方法添加约束或惩罚来限制不必要的变形,而是开发了一种真正基于生物力学的配准方法,其中皮肤和肌肉表面的位置被用作唯一的边界条件。我们的配准方法的结果表明,在参考图像和变形后的浮动图像之间的对应性方面有了重要改进,既没有引入物理上不合理的变形,又在短计算时间内完成。

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