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MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters

机译：MRI到基于X射线乳腺摄影强度的配准，同时优化姿势和生物力学转换参数

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摘要

Determining corresponding regions between an MRI and an X-ray mammogram is a clinically useful task that is challenging for radiologists due to the large deformation that the breast undergoes between the two image acquisitions. In this work we propose an intensity-based image registration framework, where the biomechanical transformation model parameters and the rigid-body transformation parameters are optimised simultaneously. Patient-specific biomechanical modelling of the breast derived from diagnostic, prone MRI has been previously used for this task. However, the high computational time associated with breast compression simulation using commercial packages, did not allow the optimisation of both pose and FEM parameters in the same framework. We use a fast explicit Finite Element (FE) solver that runs on a graphics card, enabling the FEM-based transformation model to be fully integrated into the optimisation scheme. The transformation model has seven degrees of freedom, which include parameters for both the initial rigid-body pose of the breast prior to mammographic compression, and those of the biomechanical model. The framework was tested on ten clinical cases and the results were compared against an affine transformation model, previously proposed for the same task. The mean registration error was 11.6 ± 3.8. mm for the CC and 11 ± 5.4. mm for the MLO view registrations, indicating that this could be a useful clinical tool.
机译：在MRI和X射线乳房X线照片之间确定相应区域是一项临床上有用的任务，由于乳房在两次图像采集之间经历的大变形，这对放射科医生而言是一项挑战。在这项工作中，我们提出了一个基于强度的图像配准框架，其中生物力学转换模型参数和刚体转换参数被同时优化。源自诊断性俯卧MRI的乳房特定患者生物力学建模先前已用于此任务。但是，与使用商业软件包进行的乳房压缩模拟相关的高计算时间无法在同一框架中同时优化姿势和FEM参数。我们使用在图形卡上运行的快速显式有限元（FE）求解器，使基于FEM的转换模型完全集成到优化方案中。转换模型具有七个自由度，其中包括用于乳房X线照片压缩之前的乳房的初始刚体姿势和生物力学模型的参数。该框架在10个临床案例上进行了测试，并将结果与​​先前针对同一任务提出的仿射变换模型进行了比较。平均配准误差为11.6±3.8。 CC和11±5.4毫米。 mm用于MLO视图注册，表明这可能是有用的临床工具。

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