Presentation of brain electrical activity distribution on its cortex surface derived from MR images
| Autor: | R Tarnecki, Krysztof Nowiński, Dorota Kozińska |
|---|---|
| Rok vydání: | 1998 |
| Předmět: |
medicine.diagnostic_test
Computer science business.industry Biomedical Engineering Biophysics Health Informatics Bioengineering Sensory system Human brain Electroencephalography medicine.disease Biomaterials Epilepsy medicine.anatomical_structure Cortex (anatomy) medicine Computer vision Artificial intelligence Presentation (obstetrics) Evoked potential Fiducial marker business Information Systems Biomedical engineering |
| Zdroj: | Technology and Health Care. 6:209-224 |
| ISSN: | 1878-7401 0928-7329 |
| DOI: | 10.3233/thc-1998-62-311 |
| Popis: | Analysis of scalp-recorded potentials (EEG or evoked potential examination) is of great importance for studying bioelectrical processes in the human brain both in normal and pathological cases. Investigating potential distributions in the relation to individual topography of the cortex is helpful in treatment and surgery planning. We developed a method providing visual presentation of electrical potentials measured in EEG examination superimposed on a patients cortex surface computed from MRI data. Analysis of such images contributes into diagnostics of common neurological disorders (for example: epilepsy, Parkinsons disease, any mechanical damage). Integration of EEG and MRI data sets requires their alignment. This paper focuses on applying a new registration technique for the alignment of these two data sets. The method does not require any external fiducial markers to be fixed on a patients head, what makes it convenient for numerous examinations performed in clinic. Alignment bases on geometrical features derived from intrinsic data of an image or an object. To show the example of usage of the technique for assisting in neurological diagnostics we present results of SEP (sensory evoked potential) examinations performed for one pathological case and a control group. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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