Online citations, reference lists, and bibliographies.
Please confirm you are human
(Sign Up for free to never see this)
← Back to Search

Feasibility Of Quantitative Texture Analysis Of Cardiac Magnetic Resonance Imagery: Preliminary Results

S. R. Fleagle, W. Stanford, T. Burns, D. Skorton
Published 1994 · Medicine, Engineering

Save to my Library
Download PDF
Analyze on Scholarcy
Share
Texture analysis has proven useful in the evaluation of many forms of digital imagery. Our group has shown that texture analysis of echocardiograms may be useful for characterization of myocardial ischemia, contusion, and cardiomyopathies. Recent work in tissue characterization of the brain has used texture analysis of magnetic resonance images to discriminate normal brian tissue from edema and tumor. Magnetic resonance images of the heart have been noted to exhibit visually apparent abnormalities in region image intensity in disease. Based upon these qualitative visual observations, our previous work in cardiac ultrasound texture analysis and the recent application of texture analysis to magnetic resonance brain images, we hypothesized that texture analysis would be useful in evaluating myocardial tissue characteristics from cardiac magnetic resonance images. As a first step towards the goal of cardiac tissue classification, we evaluated the ability of texture analysis to discriminate the left ventricular myocardium from other tissues using magnetic resonance images.
This paper references



This paper is referenced by
10.1109/RBME.2010.2084567
Retinal Imaging and Image Analysis
M. Abràmoff (2010)
10.1002/jmri.1125
Texture detection of simulated microcalcification susceptibility effects in magnetic resonance imaging of breasts
D. James (2001)
10.1109/TMI.2010.2047023
Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the Macula
G. Quellec (2010)
10.1109/RBME.2010.2084567
Retinal Imaging and Image Analysis.
M. Abràmoff (2010)
10.1016/0730-725X(94)00124-L
MRI segmentation: methods and applications.
L. Clarke (1995)
10.1016/S1076-6332(97)80080-3
Assessment of the pulmonary structure-function relationship and clinical outcomes measures: quantitative volumetric CT of the lung.
E. Hoffman (1997)
10.1016/j.neucom.2018.03.083
A graph-based approach to automated EUS image layer segmentation and abnormal region detection
X. Chen (2019)
10.1164/AJRCCM.156.1.9606093
Quantification of pulmonary emphysema from lung computed tomography images.
R. Uppaluri (1997)
10.1016/J.ACRA.2004.09.005
The comprehensive imaging-based analysis of the lung: a forum for team science.
E. Hoffman (2004)
10.1109/IEMBS.1996.652744
MRI feature extraction using genetic algorithms
R. Velthuizen (1996)
10.1016/j.ccm.2007.12.003
Functional imaging: CT and MRI.
E. V. van Beek (2008)
10.1513/PATS.200603-086MS
State of the Art. A structural and functional assessment of the lung via multidetector-row computed tomography: phenotyping chronic obstructive pulmonary disease.
E. Hoffman (2006)
Semantic Scholar Logo Some data provided by SemanticScholar