Identifying hypometabolism in PET images of the brain: Application to epilepsy

Tracy L. Faber, John M. Hoffman, Thomas R. Henry, John R. Votaw, Marijn E. Brummer, Ernest V. Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A technique for identifying hypometabolism from Positron Emission Tomography (PET)brain images, which accounts for patientspecific anatomical variations, scanner physical properties, and expected normal variances in metabolism, has been developed and used to identify unilateral temporal lobe seizure foci in epileptics. This method was able to distinguish the epileptogenic focus in three seizure patients with unilateral seizure onset, while demonstrating no hypometabolism in three patients with bilateral seizure onset or in the ten normal volunteers.

Original languageEnglish (US)
Title of host publicationVisualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings
EditorsRon Kikinis, Karl Heinz Hohne
PublisherSpringer- Verlag
Pages457-465
Number of pages9
ISBN (Print)3540616497, 9783540616498
StatePublished - Jan 1 1996
Event4th International Conference on Visualization in Biomedical Computing, VBC 1996 - Hamburg, Germany
Duration: Sep 22 1996Sep 25 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1131
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Visualization in Biomedical Computing, VBC 1996
Country/TerritoryGermany
CityHamburg
Period9/22/969/25/96

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