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)Full text not available from this repository.
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.
|Item Type:||Conference or Workshop Item (Poster)|
|Subjects:||Q Science > QA Mathematics > QA76 Computer software
R Medicine > RC Internal medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering
|Research Area:||Computer Science and Applications|
|Depositing User:||Users 35 not found.|
|Date Deposited:||07 Sep 2011 13:48|
|Last Modified:||05 Mar 2013 15:43|
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