Bevilacqua, Marco and Mukhopadhyay, Anirban and Oksuz, Ilkay and Rusu, Cristian and Dharmakumar, Rohan and Tsaftaris, Sotirios A. Dictionary-based Support Vector Machines for Unsupervised Ischemia Detection at Rest with CP-BOLD Cardiac MRI. In: ISMRM 23st Annual Meeting, 30 May - 5 Jun 2015, Toronto, Ontario, Canada (Unpublished)
Full text not available from this repository.Abstract
Cardiac Phase-resolved Blood-Oxygen-Level-Dependent (CP-BOLD) MRI has been recently demonstrated to detect an ongoing myocardial ischemia at rest, taking advantage of spatio-temporal patterns in myocardial signal intensities, which are modulated by the presence of disease. However, this approach does require significant post-processing to detect the disease and to this day only a few images of the acquisition are used coupled with fixed thresholds to establish biomarkers. We propose a threshold-free unsupervised approach, based on dictionary learning and one-class support vector machines, which can generate a probabilistic ischemia likelihood map.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RC Internal medicine |
| Research Area: | Computer Science and Applications |
| Depositing User: | Caterina Tangheroni |
| Date Deposited: | 09 Oct 2015 11:03 |
| Last Modified: | 09 Oct 2015 12:31 |
| URI: | http://eprints.imtlucca.it/id/eprint/2767 |
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