TY  - UNPB
T2  - ISMRM 23st Annual Meeting
ID  - eprints2767
UR  - http://eprints.imtlucca.it/2767/
AV  - none
TI  - Dictionary-based Support Vector Machines for Unsupervised Ischemia Detection at Rest with CP-BOLD Cardiac MRI
N2  - 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.
A1  - Bevilacqua, Marco
A1  - Mukhopadhyay, Anirban
A1  - Oksuz, Ilkay
A1  - Rusu, Cristian
A1  - Dharmakumar, Rohan
A1  - Tsaftaris, Sotirios A.
M2  - Toronto, Ontario, Canada
ER  -