Abstract
This paper describes an unsupervised method to help detection of significant functional inter-hemispheric asymmetries in brain SPECT. A validation of this method was performed with realistic simulated SPECT data sets with known asymmetries (in size and amplitude) as gold standard. Detection performances were assessed through Receiver Operating Characteristic (ROC) analysis based on measures of the overlap between known and detected asymmetries.
Cite
CITATION STYLE
Aubert-Broche, B., Grova, C., Jannin, P., Buvat, I., Benali, H., & Gibaud, B. (2002). Detection of inter-hemispheric asymmetries of brain perfusion in SPECT. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2488, pp. 500–507). Springer Verlag. https://doi.org/10.1007/3-540-45786-0_62
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