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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Frenoux, E. Barra, V. Boire, J.-Y. Habert, M.-O. |
| Copyright Year | 2003 |
| Description | Author affiliation: Fac. de Medicine, ERIM-CENTI, Clermont-Ferrand, France (Frenoux, E.) |
| Abstract | We propose here a new method for the automatic quantification of neurotransmission using data fusion. The process uses a magnetic resonance image as anatomical reference and a single photon emission computed tomography image of the same patient for functional information. Once both acquisitions are coregistered, the process is divided in two steps: first, structures of interest are automatically segmented using a data fusion-based algorithm, then the masks obtained are used to compute functional indexes in the SPECT. Both steps of the process are now validated and we plan to apply it as a tool for differential diagnosis in a wide range of pathologies. |
| Sponsorship | Whitaker Found |
| Starting Page | 959 |
| Ending Page | 962 |
| File Size | 364810 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780377893 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2003.1279926 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-09-17 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neurotransmitters Image segmentation Data mining Pathology Magnetic resonance Single photon emission computed tomography Magnetic resonance imaging Spatial resolution Magnetic cores Parkinson's disease |
| Content Type | Text |
| Resource Type | Article |
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