Title :
Automatic registration of structural brain MR images to MNI image space
Author :
Dagdeviren, Zuleyha Akusta ; Oguz, Kaya ; Cinsdikici, Muhammed
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Izmir Univ., İzmir, Turkey
Abstract :
Disease diagnosis has been made by experts examining the images obtained by magnetic resonance imaging (MRI) technique, the disease process is observed using images taken at different times. Brain MR images are registered to the standard brain atlases because the human brain has a complex structure and varies from person to person. Corpus Callosum (CC) has a big importance for medical image registration because it can be easily distinguished on T1-weighted structural brain MR images and does not vary prominently between individuals. In this study, from the midsagittal brain MR image that belongs to the patient CC is detected fully automatically via Valley Matching (VM) Algorithm. The contribution of this study is registration of patient´s MR image onto the Montreal Neurological Institute (MNI) image space by using automatically detected reference points.
Keywords :
biomedical MRI; brain; feature extraction; image matching; image registration; medical image processing; MNI image space; Montreal Neurological Institute; VM algorithm; automatic image registration; corpus callosum; magnetic resonance imaging; midsagittal brain MR image; patient CC detection; structural brain MR images; valley matching algorithm; Biomedical imaging; Magnetic resonance imaging; MNI image space; brain MR image registration; corpus callosum;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129833