DocumentCode :
2505584
Title :
Automatic quantification and 3D visualisation of edema in cardiac MRI
Author :
Kadir, Kushsairy ; Gao, Hao ; Payne, Alex ; Soraghan, John ; Berry, Colin
Author_Institution :
Dept. of Electron. & Electr., Univ. of Strathcylde, Glasgow, UK
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
8021
Lastpage :
8024
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.
Keywords :
biomedical MRI; blood vessels; cardiology; diseases; image segmentation; medical image processing; muscle; patient treatment; 3D visualisation; automatic quantification; cardiac MRI; edema distribution; edema region; heart muscle; linear correlation coefficient; manual segmentation; morphological operation; myocardial infarction; myocardial tissue; patient diagnosis; statistical thresholding; therapy planning; Educational institutions; Image segmentation; Magnetic resonance imaging; Manuals; Myocardium; Three dimensional displays; Automation; Edema, Cardiac; Heart Ventricles; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Myocardium;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091978
Filename :
6091978
Link To Document :
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