title: Automatic quantification and 3D visualisation of edema in cardiac MRI.
abstract: Viability assessment of heart muscle after a myocardial infarction is an important step for diagnosis and therapy planning. It is important to quantify the area of edema because it can differentiate between viable and death myocardial tissues. In this paper an automatic method to quantify cardiac edema is presented. The method is based on a combination of morphological operations and statistical thresholding. Using real MRI data it is demonstrated that the proposed method can delineate edema region comparable to manual segmentation with a linear correlation coefficient r=0.76 and the mean difference is around 9.95%. The quantification result is also used to generate 3D visualisation model showing normal myocardial wall and edema region, which will enhance clinician diagnosis capability with real pattern of edema distribution and quantitative description.
authors.affiliation: Centre for excellence in Signal and Image Processing, Dept of Electronic and Electrical, University of Strathcylde, Glasgow G1 1XW, UK. kushsairy@eee.strath.ac.uk
authors.forename: Kushsairy
authors.initials: K
authors.lastname: Kadir
authors.forename: Hao
authors.initials: H
authors.lastname: Gao
authors.forename: Alex
authors.initials: A
authors.lastname: Payne
authors.forename: John
authors.initials: J
authors.lastname: Soraghan
authors.forename: Colin
authors.initials: C
authors.lastname: Berry
mesh_terms: D001331:Automation; D004489:Edema, Cardiac / Q000473:pathology*; D006352:Heart Ventricles / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009206:Myocardium / Q000473:pathology*