eprintid: 850
rev_number: 19
eprint_status: archive
userid: 35
dir: disk0/00/00/08/50
datestamp: 2011-09-08 13:34:01
lastmod: 2013-03-05 15:32:18
status_changed: 2011-09-08 13:34:01
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Tsaftaris, Sotirios A.
creators_name: Zhou, Xiangzhi 
creators_name: Dharmakumar, Rohan
creators_id: sotirios.tsaftaris@imtlucca.it
creators_id: 
creators_id: 
title: A fully-automated statistical method for characterization of flow artifact presence in cardiac MRI
ispublished: pub
subjects: QA76
subjects: RC
subjects: TK
divisions: CSA
full_text_status: none
note: from 2011 SCMR/Euro CMR Joint Scientific Sessions
Nice, France. 3-6 February 2011
abstract: Flow artifacts in MR images can appear as ghosts within and outside the body cavity. Current approaches for optimizing sequences for suppressing such artifacts rely on expert scoring or on semi-automated methods for evaluation.
date: 2011
date_type: published
publication: Journal of cardiovascular magnetic resonance
volume: 13
number: Suppl 
publisher: Society for cardiovascular magnetic resonance
pagerange: P45
id_number: 10.1186/1532-429X-13-S1-P45
refereed: TRUE
issn: 1532-429X
official_url: http://jcmr-online.com/content/13/S1/P45
citation:   Tsaftaris, Sotirios A. and Zhou, Xiangzhi  and Dharmakumar, Rohan  A fully-automated statistical method for characterization of flow artifact presence in cardiac MRI.  Journal of cardiovascular magnetic resonance, 13 (Suppl ).  P45.  ISSN 1532-429X      (2011)