DocumentCode
1417469
Title
Automatic detection of hypoperfused areas in SPECT brain scans
Author
Thurfjell, L. ; Andersson, J. ; Pagani, M. ; Jonsson, C. ; Hult, R. ; Lundqvist, R. ; Wagner, A. ; Jacobsson, Hans ; Larsson, Stig
Author_Institution
Centre for Image Anal., Uppsala Univ., Sweden
Volume
45
Issue
4
fYear
1998
fDate
8/1/1998 12:00:00 AM
Firstpage
2149
Lastpage
2154
Abstract
Describes a method for automatic identification of areas with perfusion changes in SPECT brain images. An intersubject registration technique is used to stereotactically register images from a selected control group allowing for reference images to be created by averaging the subjects image data. An individual SPECT brain scan can be brought into registration with the reference image and comparison to the normal reference group can be made by subtracting the two volumes. Furthermore, since the variance in the reference group is known, a z-score image or an image coded in standard deviations, can be computed. The SPECT reference volume is defined in the same coordinate system as a brain atlas, and anatomical labeling of areas of interest is possible. The authors show results from the creation of an average image based on 11 individuals and from its comparison with pathological cases
Keywords
brain; feature extraction; haemorheology; image registration; medical image processing; single photon emission computed tomography; SPECT reference volume; anatomical labeling; areas of interest; average image; brain SPECT scans; coded image; hypoperfused areas automatic detection; intersubject registration technique; medical diagnostic imaging; normal reference group; nuclear medicine; pathological cases; reference images; standard deviations; stereotactic image registration; z-score image; Biomedical imaging; Brain; Hospitals; Image analysis; Jacobian matrices; Nervous system; Neuroscience; Nuclear medicine; Physics; Surface fitting;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.708327
Filename
708327
Link To Document