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The accuracy of SPECT brain activation images: Propagation of registration errors
Author(s) -
Sychra J. J.,
Pavel D. G.,
Chen Y.,
Jani A.
Publication year - 1994
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.597412
Subject(s) - image registration , single photon emission computed tomography , artificial intelligence , computer vision , pixel , rotation (mathematics) , computer science , correctness , line (geometry) , emission computed tomography , functional imaging , medical imaging , nuclear medicine , image (mathematics) , positron emission tomography , mathematics , medicine , algorithm , radiology , geometry
Functional single photon emission computed tomography (SPECT) images of brain activation are based on a comparison of base line and activation images. The correctness of the functional images depends, among other factors, on the accurate spatial registration (alignment) of the base line and activation image data. The relationship between the registration errors and the errors of the resulting functional images is studied. It is shown that misregistration errors as small as a shift by1 8pixel or rotation by 1° result in 5%–10% errors of the pixel values of functional SPECT images of regional blood flow (the ratio and the relative difference images).