Evolution of brain tumor growth model: a back-in-time approach
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...
| 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/28492/ http://irep.iium.edu.my/28492/ http://irep.iium.edu.my/28492/ http://irep.iium.edu.my/28492/1/ICCCE2012-Brain_tumor_Growth-06271363.pdf |
| Summary: | 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. |
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