TY  - CONF
M2  - Honolulu, Hawaii
ID  - eprints829
N2  - 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.
AV  - none
T2  - 17th Meeting of the  international society for magnetic resonance in medicine
UR  - http://eprints.imtlucca.it/829/
A1  - Tsaftaris, Sotirios A.
A1  - Tang, Richard
A1  - Klein, Rachel
A1  - Li, Debiao
A1  - Dharmakumar, Rohan
TI  - Visualizing and quantifying myocardial oxygenation changes with statistically optimal colormaps
Y1  - 2009///
ER  -