Title :
Segmentation of Brain Magnetic Resonance images using ITK, VTK and MeVisLab
Author :
Duygu Sertel;Yunus Şen Bozdemir;Nalan Özkurt
Author_Institution :
Elektrik ve Elektronik Muhendisligi Bolumu, Dokuz Eylul Universitesi
fDate :
4/1/2010 12:00:00 AM
Abstract :
In this study, the white matter, gray matter and the tissues affected by Multiple Sclerosis are segmented semi-automatically from Magnetic Resonance images using programming environments ITK (Insight Registration and Segmentation Toolkit), VTK (Visualization Toolkit) and MeVisLab (Medical Image Processing and Visualization).
Keywords :
"Image segmentation","Magnetic resonance","Visualization","Biomedical image processing","Multiple sclerosis","DICOM","Programming environments","Biomedical imaging","Brain modeling","Protons"
Conference_Titel :
Biomedical Engineering Meeting (BIYOMUT), 2010 15th National
Print_ISBN :
978-1-4244-6380-0
DOI :
10.1109/BIYOMUT.2010.5479855
