Approximate Expressions for Error Statistics in Point-Based Image Registration

本研究的目的是通过摄动方法开发与医学成像中基于点的刚性配准相关的误差统计的新表达式，重点是靶配准，其中靶是典型的手术“靶”。一个具体的动机是，这些错误的知识是至关重要的计划和指导手术，特别是脑部手术。估计这些误差的数值方法是非常笨拙和耗时的，如果可靠的封闭形式近似值可用，它们可以大大提高图像引导手术的效用，以及其他成像应用

9802982FitzpatrickThe goal of this research is to develop, via perturbation methods, new expressions for error statistics associated with point-based rigid registration in medical imaging, with emphasis on target registration where the targets are typical "targets" of surgery. A specific motivation is that knowledge of these errors is crucial in the planning and guidance of surgery, especially brain surgery. The numerical methods to estimate these errors are extremely unwieldy and time consuming and if reliable closed form approximations were available they could substantially advance the utility of image guided surgery, among other applications of imaging.***