Brain tumor quantification equation: modeled on complete step response algorithm

• Main Authors: Aboaba, Abdulfattah A., Hameed, Shihab A., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Harun, Rahmat, Zain, Norzaini Rose Mohd
• Format: Conference or Workshop Item
• Language: English
• Published: 2012
• Subjects: T173.2 Technological change
• Online Access: http://irep.iium.edu.my/28489/1/ICCCE2012-Br_Tu_Quantification-06271364.pdf; http://irep.iium.edu.my/28489/; http://dx.doi.org/10.1109/ICCCE.2012.6271364
• Institution: Universiti Islam Antarabangsa Malaysia

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.