Analysis of HMPAO SPECT Scans in Head Injury Using Statistical Parametric Mapping
Author(s) -
Emmanuel A. Stamatakis,
Lindsay Wilson,
D. Wyper
Publication year - 2000
Publication title -
behavioural neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.859
H-Index - 48
eISSN - 1875-8584
pISSN - 0953-4180
DOI - 10.1155/2000/681916
Subject(s) - statistical parametric mapping , nuclear medicine , statistical analysis , parametric statistics , spect imaging , blood flow , head injury , cerebral blood flow , medicine , computer science , artificial intelligence , radiology , mathematics , magnetic resonance imaging , surgery , cardiology , statistics
The paper examines the ability of Statistical Parametric Mapping (SPM) to contribute towards the quantitative analysis of HMPAO SPECT images containing lesions. A validation study is described in which SPECT images were created that contained synthetic lesions and were analysed with SPM. The study established a set of guidelines concerning the alignment, smoothing, and statistical analysis of images. These were then applied to analysis of SPECT scans from head injured patients. A demonstration is given of the use of SPM to identify localised blood flow abnormalities associated with cognitive deficits after head injury. Correlations between blood flow abnormalities and a test of visual memory are illustrated.
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