Brain tumor quantification equation: modeled on complete step response algorithm
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. T...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/ http://irep.iium.edu.my/28489/1/ICCCE2012-Br_Tu_Quantification-06271364.pdf |
| Summary: | 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
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