relation: http://eprints.imtlucca.it/829/
title: Visualizing and quantifying myocardial oxygenation changes with statistically optimal colormaps
creator: Tsaftaris, Sotirios A.
creator: Tang, Richard
creator: Klein, Rachel
creator: Li, Debiao
creator: Dharmakumar, Rohan
subject: QA76 Computer software
subject: RC Internal medicine
subject: TK Electrical engineering. Electronics Nuclear engineering
description: Blood-oxygen-level dependent (BOLD) MRI may be used for detecting myocardial oxygenation (MO) changes secondary to coronary artery stenosis. Under pharmacological stress, areas of the myocardium supplied by a stenotic coronary artery are hypointense relative to healthy regions. Visualizing these changes requires manual windowing. In this paper a method for automatic visualization and quantification of myocardial signal changes reflecting the regional variations in oxygenation is presented, using images obtained from a canine study under controlled conditions.  The objective of this study is to overcome the rather subjective step of windowing by establishing an optimal colormap that permits visualization of  statistical changes in signal intensities between healthy and pathological cases. In addition, graph theory is used to derive a quantitative metric indicative  of changes in myocardial oxygenation. The purpose of this effort is to facilitate the evaluation of myocardial BOLD images by automating the  detection of regional abnormalities in MO under pharmacological stress in the presence of coronary artery stenosis.
date: 2009
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Tsaftaris, Sotirios A. and Tang, Richard and Klein, Rachel and Li, Debiao and Dharmakumar, Rohan  Visualizing and quantifying myocardial oxygenation changes with statistically optimal colormaps.  In: 17th Meeting of the international society for magnetic resonance in medicine, 18-24 April 2009, Honolulu, Hawaii       (Submitted)   (2009)