DocumentCode :
276180
Title :
Registration of a SPECT brain image with its `nearest normal equivalent´ image
Author :
Houston, A.S. ; Barber, D.C.
Author_Institution :
R. Naval Hospital, Haslar, UK
fYear :
1992
fDate :
7-9 Apr 1992
Firstpage :
369
Lastpage :
372
Abstract :
The use of principal components analysis (PCA) applied to image sequences in nuclear medicine is well established. In the paper, PCA is applied to the voxels of regional cerebral blood flow images obtained from single photon emission computed tomography (SPECT). The analysis involves the following stages: (a) acquisition of a series of images obtained from normal control subjects; (b) adoption of one of these as a reference image; (c) registration of each of these images with respect to the reference image; (d) PCA applied to the series of registered images using voxels as variables; (e) registration of subsequent images with respect to the reference image; (f) computation of the nearest normal equivalent image to each subsequent image using the principal components found at stage (d)
Keywords :
brain; computerised picture processing; computerised tomography; medical computing; radioisotope scanning and imaging; SPECT brain image; image acquisition; image registration; image sequences; nearest normal equivalent image; nuclear medicine; principal components analysis; reference image; regional cerebral blood flow images; single photon emission computed tomography; voxels;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and its Applications, 1992., International Conference on
Conference_Location :
Maastricht
Print_ISBN :
0-85296-543-5
Type :
conf
Filename :
146814
Link To Document :
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