eprintid: 830
rev_number: 20
eprint_status: archive
userid: 35
dir: disk0/00/00/08/30
datestamp: 2011-09-07 13:52:43
lastmod: 2013-03-05 15:44:38
status_changed: 2011-09-07 13:52:43
type: conference_item
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 intensity based statistical approach for left ventricular localization and identification of end-systolic and end-diastolic images from cine cardiac MRI
ispublished: unpub
subjects: QA76
subjects: RC
subjects: TK
divisions: CSA
full_text_status: none
pres_type: poster
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 (1), to detect ES and ED from cine MRI acquired from canines under control conditions. The purpose of this work is to develop a fully automated, computationally efficient, post-processing method for reliable LV localization and identification of ES and ED frames from cine cardiac MR images
date: 2009
event_title: 17th Meeting of the  international society for magnetic resonance in medicine
event_location: Honolulu, Hawaii
event_dates: 18-24 April 2009
event_type: conference
refereed: TRUE
related_url_url: http://www.ismrm.org/09/index.htm
related_url_type: org
citation:   Tsaftaris, Sotirios A. and Zhou, Xiangzhi  and Tang, Richard and Klein, Rachel and Dharmakumar, Rohan  An intensity based statistical approach for left ventricular localization and identification of end-systolic and end-diastolic images from cine cardiac MRI.  In: 17th Meeting of the international society for magnetic resonance in medicine, 18-24 April 2009, Honolulu, Hawaii       (Unpublished)   (2009)