A Fast Volume Conductor Segmentation and Modeling Pipeline for NICE
| Autor: | Gerald Fischer, J. Aschaber, B. Tilg, B. Pfeifer, C. N. Nowak, Michael Seger |
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| Rok vydání: | 2007 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test business.industry Computer science Pipeline (computing) Magnetic resonance imaging Inverse problem Conductor Ventricular myocardium Internal medicine medicine Cardiology Segmentation Computer vision Artificial intelligence Compartment (pharmacokinetics) business Volume (compression) |
| Zdroj: | 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging. |
| DOI: | 10.1109/nfsi-icfbi.2007.4387708 |
| Popis: | In this paper an approach for extracting patient individual volume conductor models (VCM) using volume data acquired from Magnetic Resonance Imaging (MRI) for computational biology of electrical excitation in the patient's individual heart is introduced. The VCM consists of the compartments chest, lung, atrial and ventricular myocardium and the blood masses. For each compartment a segmentation approach with no or little user interaction was developed and integrated into the VCM modeling pipeline to enable the inverse problem of electrocardiography to become clinical applicable. |
| Databáze: | OpenAIRE |
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