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Brain tumor quantification equation: Modeled on complete step response algorithm

机译:脑肿瘤定量方程:以完整的阶跃响应算法为模型

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摘要

In Image Guided neuro-Surgery (IGnS) protocol relating to tumor, the planning stage is the bottleneck where most times are spent reconstructing the slices in order to; quantify the tumor, get the tumor shape and location relative to adjacent cells, and determine best incursion route among others. This time consuming assignment is handled by a surgeon using any of the standardized IGnS software. It has been observed that the approach taken to quantify tumor in those software are simply replicating the surgeons' experience-based brain tumor quantification technique fashionable in the pre-imaging era. The result is a quantification method that is time consuming, and at bests an approximation. What is presented here is a novel brain tumor quantification method based on step response algorithm utilizing a model which itself was based on step response model resulting in smart and rapid quantification of brain tumor volume.
机译:在与肿瘤有关的图像引导神经外科手术(IGnS)协议中,计划阶段是瓶颈,在该瓶颈上,大多数时间都用于重建切​​片以达到目标。量化肿瘤,获得肿瘤形状和相对于相邻细胞的位置,并确定最佳侵入途径。外科医生使用任何标准的IGnS软件来处理此耗时的任务。已经观察到,在那些软件中用于量化肿瘤的方法只是复制了外科医生在预成像时代流行的基于经验的脑肿瘤量化技术。结果是一种耗时且充其量是近似的定量方法。这里提出的是一种新颖的基于步骤响应算法的脑肿瘤定量方法,该方法利用的模型本身就是基于步骤响应模型的模型,可以对脑肿瘤体积进行智能,快速的定量。

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