relation: http://eprints.imtlucca.it/828/
title: An automated method for left ventricular localization and identification of end-systolic and end-diastolic images from cine cardiac MRI
creator: Tsaftaris, Sotirios A.
creator: Zhou, Xiangzhi 
creator: Tang, Richard
creator: Klein, Rachel
creator: Dharmakumar, Rohan
subject: QA76 Computer software
subject: RA Public aspects of medicine
subject: TK Electrical engineering. Electronics Nuclear engineering
description: 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.
publisher: Society for cardiovascular magnetic resonance
date: 2009
type: Article
type: PeerReviewed
identifier:   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)  
relation: http://jcmr-online.com/content/11/S1/P222
relation: 10.1186/1532-429X-11-S1-P222