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Ultrasound characterization of acute myocardial ischemia by quantitative texture analysis
Authors:D D McPherson  P E Aylward  B M Knosp  J A Bean  R E Kerber  S M Collins  D J Skorton
Institution:2. Division of Hematology, Department of Medicine, Stanford Cancer Institute, Stanford University, Stanford, California, USA;3. Department of Bioengineering, Stanford University, Stanford, California, USA;4. Molecular Imaging Program at Stanford, The James H Clark Center, Stanford University, Stanford, California, USA;5. Department of Radiology, Stanford University School of Medicine, Stanford, California, USA;1. Pharmaceutical Care Research Group, School of Pharmacy, University College Cork, Ireland;2. Mindfulness Centre for Professional Training in Ireland, 33 Pembroke Street Lower, Dublin 2, Ireland;3. School of Applied Psychology, University College Cork, Ireland;4. Pharmacy Department, Mercy University Hospital, Cork, Ireland;1. Second Department of Radiology, Medical University of Gdansk, Gdansk, Poland;2. Institute of Experimental Physics, University of Gdansk, Gdansk, Poland;3. Institute of Psychology, University of Gdansk, Gdansk, Poland;4. First Department of Cardiology, Medical University of Gdansk, Gdansk, Poland;5. Department of Neurology, Medical University of Gdansk, Gdansk, Poland;1. Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan;2. Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan;3. Division of Brain Sciences, Imperial College London, London, United Kingdom;4. Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan;5. Graduate School of Medicine, International University of Health and Welfare, Narita, Japan;6. National Cerebral and Cardiovascular Center, Suita, Japan
Abstract:In this study we tested the efficacy of quantitative texture analysis in the identification of acute myocardial ischemia using an ultrasound data acquisition system that digitizes and stores echocardiographic data in polar format. In nine closed-chest dogs, data were acquired before and after coronary occlusion using a 2.4 MHz echocardiographic system. Regions of interest were analyzed at end-diastole and end-systole from the ischemic area and normal area at the same depth of field. Ultrasound data were evaluated using previously reported quantitative gray level texture measures. After occlusion, texture changes indicative of ischemia were found in systolic images. The directional component of the data analysis was important; analysis in the azimuthal direction was more accurate than in the axial direction. Six texture measures exhibited significant changes in the ischemic region from control to occlusion when analyzing data in the azimuthal direction. One false positive result occurred (significant texture change in the normal region from control to occlusion) in the azimuthal direction. Several false positive alterations in the normal regions from control to occlusion were found when the texture was evaluated in the axial direction. For accurate assessment of ischemic changes, preocclusion image data were required. We conclude that quantitative echocardiographic texture analysis using polar format data can identify subtle changes in myocardial texture such as that due to acute ischemia, using data acquired through the chest wall.
Keywords:
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