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Evolution of brain tumor growth model: A back-in-time approach

机译:脑肿瘤生长模型的进化:一种时光倒流的方法

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One of the crucial stages in Image Guided Surgery (IGS) protocol is the IGS planning stage, the major requirements at that stage are to determine tumor extent and size by reconstructing tumor slices, and to determine the best way to approach affected site. The surgeon is clinically responsible to do these with the aid of IGS software that is fashioned in line with the surgeon training. It has been observed that lots of time used at that stage could be saved if a good model that will accurately estimate tumor growth from few slices could be developed to assist at that stage. This paper presents a tumor growth modeling approach based on step response of electrical energy devices, and its application to tumor estimation using non-IGS protocol image slices to produce tumor area estimation that is comparable for image reconstruction purposes with tumor area found on the thin slice IGS protocol images, thereby eliminating the need for time consuming IGS protocol imaging.
机译:图像引导手术(IGS)协议的关键阶段之一是IGS规划阶段,该阶段的主要要求是通过重建肿瘤切片来确定肿瘤的范围和大小,并确定接近受影响部位的最佳方法。外科医生在临床上有责任借助结合外科医生培训而设计的IGS软件来完成这些任务。已经观察到,如果可以开发出一个可以从几个切片中准确估计出肿瘤生长的良好模型来帮助该阶段,则可以节省该阶段所花费的大量时间。本文提出了一种基于电能器件阶跃响应的肿瘤生长建模方法,并将其应用于使用非IGS协议图像切片的肿瘤估计中,以产生与在薄片上发现的肿瘤面积可用于图像重建的肿瘤面积估计相当的肿瘤面积估计IGS协议映像,从而消除了耗时的IGS协议映像的需求。

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