eprintid: 828
rev_number: 18
eprint_status: archive
userid: 35
dir: disk0/00/00/08/28
datestamp: 2011-09-07 13:33:50
lastmod: 2013-03-05 15:44:23
status_changed: 2011-09-07 13:33:50
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Tsaftaris, Sotirios A.
creators_name: Zhou, Xiangzhi 
creators_name: Tang, Richard
creators_name: Klein, Rachel
creators_name: Dharmakumar, Rohan
creators_id: sotirios.tsaftaris@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
creators_id: 
title: An automated method for left ventricular localization and identification of end-systolic and end-diastolic images from cine cardiac MRI
ispublished: pub
subjects: QA76
subjects: RA
subjects: TK
divisions: CSA
full_text_status: none
note: from 12th Annual Society for Cardiovascular Magnetic Resonance Scientific Sessions
Orlando, FL, USA. 29 January–1 February 2009
abstract: A critical component in computing quantitative diagnostic metrics, such as ejection fraction, as well as image segmentation and registration is the accurate identification of the end-systolic (ES) and end-diastolic (ED) frames in cine MRI. Localization of the LV is also important, to assist further analysis (ie., myocardial segmentation). Currently, these tasks are performed in a manual, semi- or fully-automated fashion. Fully-automated methods are desirable since they can eliminate manual labor and inter- and intra-observer variability. Most methods rely on measuring the area of the blood pool in the LV chamber, but they are computationally intensive, susceptible to noise, and require prior localization and segmentation of the LV. An image-driven statistical method is presented that utilizes cross-correlation to detect ES and ED from cine MRI acquired from canines under control conditions.
date: 2009
date_type: published
publication: Journal of cardiovascular magnetic resonance
volume: 11
number: Suppl 
publisher: Society for cardiovascular magnetic resonance
pagerange: P222
id_number: 10.1186/1532-429X-11-S1-P222
refereed: TRUE
issn: 1532-429X
official_url: http://jcmr-online.com/content/11/S1/P222
citation:   Tsaftaris, Sotirios A. and Zhou, Xiangzhi  and Tang, Richard and Klein, Rachel and Dharmakumar, Rohan  An automated method for left ventricular localization and identification of end-systolic and end-diastolic images from cine cardiac MRI.  Journal of cardiovascular magnetic resonance, 11 (Suppl ).  P222.  ISSN 1532-429X      (2009)