An Improved Segmentation of Brain Tumor, Edema and Necrosis
Image processing in biomedical applications is strongly developing issue.Many methods and approaches for image preprocessing,segmentation and visualization were described.This paper deals with image segmentation,concretely brain tumor segmentation.The main problem in medical practice is to recognize the type of brain or other tumor.There are many methods for tumor classification and one of them is perfusion imaging/analysis.Perfusion images are of very low contrast and they are devaluated by noise.The main idea is to identify the level of perfusion of contrast agent transported into the pathological tissue.The level of perfusion may decide on the type of tumor.The perfusion has to be monitored in tumor region,edema around the tumor region and in the interface between brain tumor and edema.The goal described in this paper is to propose a segmentation method to recognize brain tumor,edema and necrosis in structural magnetic resonance images(T1,T2)and create a binary mask that enables measurement in perfusion weighted images.
J.Mikulka E.Gescheidtová
Department of Theoretical and Experimental Electrical Engineering Brno University of Technology,Kolejni 4,Brno 612 00,Czech Republic
国际会议
Progress in Electromagnetics Research Symposium 2013(2013年电磁学研究新进展学术研讨会)
台北
英文
25-28
2013-03-01（万方平台首次上网日期，不代表论文的发表时间）