eprintid: 2767
rev_number: 9
eprint_status: archive
userid: 69
dir: disk0/00/00/27/67
datestamp: 2015-10-09 11:03:42
lastmod: 2015-10-09 12:31:26
status_changed: 2015-10-09 11:03:42
type: conference_item
metadata_visibility: show
creators_name: Bevilacqua, Marco
creators_name: Mukhopadhyay, Anirban
creators_name: Oksuz, Ilkay
creators_name: Rusu, Cristian
creators_name: Dharmakumar, Rohan
creators_name: Tsaftaris, Sotirios A.
creators_id: 
creators_id: 
creators_id: ilkay.oksuz@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
title: Dictionary-based Support Vector Machines for Unsupervised Ischemia Detection at Rest with CP-BOLD Cardiac MRI
ispublished: unpub
subjects: QA75
subjects: RC
divisions: CSA
full_text_status: none
pres_type: paper
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.
event_title: ISMRM 23st Annual Meeting
event_location: Toronto, Ontario, Canada
event_dates: 30 May - 5 Jun 2015
event_type: conference
refereed: FALSE
citation:   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  In: ISMRM 23st Annual Meeting, 30 May - 5 Jun 2015, Toronto, Ontario, Canada       (Unpublished)