DocumentCode
3010951
Title
Brain tumor quantification equation: Modeled on complete step response algorithm
Author
Aboaba, A.A. ; Hameed, Shihab Ahmed ; Khalifa, Othman O. ; Abdalla, A.H. ; Harun, R. ; Zain, N.R.M.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Maiduguri, Maiduguri, Nigeria
fYear
2012
fDate
3-5 July 2012
Firstpage
988
Lastpage
991
Abstract
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.
Keywords
medical image processing; step response; tumours; brain tumor volume; complete step response algorithm; experience-based quantification technique; image guided neurosurgery protocol; incursion route; planning stage; pre-imaging era; rapid quantification; smart quantification; standardized IGnS software; tumor location; tumor shape; Brain modeling; Equations; Mathematical model; Protocols; Shape; Surgery; Tumors; Brain Tumor Quantification; Image Guided neuro-Surgery; Smart quantification; Step Response Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Communication Engineering (ICCCE), 2012 International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-0478-8
Type
conf
DOI
10.1109/ICCCE.2012.6271364
Filename
6271364
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