Title :
A Fast and Automatic Approach to Extract the Brain and Midsagittal Lines from FDG-PET Head Scans
Author :
Qian, Guoyu ; Luo, Suhuai ; Jin, Jesse ; Park, Mira ; Li, Jiaming ; Nowinski, Wieslaw L.
Author_Institution :
Sch. of Design, Commun. & IT, Univ. of Newcastle, Newcastle, NSW, Australia
Abstract :
A fully automated approach is presented to extract brain areas efficiently from FDG-PET head scans. A threshold value is automatically calculated from the histogram graph of the brain images, followed by region growing and morphological operations, to segment brain areas from these images. Next, the midsagittal lines on axial slices are detected to separate the brain into two hemispheres. The proposed approach has been applied to 226 cases of normal controls and patients with neurological diseases. The average processing time is about 3 seconds on a standard personal computer. The experiment has shown promising results.
Keywords :
biomedical imaging; image processing; positron emission tomography; FDG-PET head scans; brain extraction; image processing; midsagittal lines extraction; Alzheimer´s disease; Brain; Computed tomography; Data mining; Head; Histograms; Image analysis; Magnetic resonance imaging; Morphological operations; Positron emission tomography;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.28