Title :
Automatic Obtaining of Left Ventricular Area and Analyzing the Area Changes
Author :
HajiRassouliha, Amir ; Ayatollahi, Ahmad
Author_Institution :
Electr. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
We proposed a new method for computer based estimation of changes in left ventricular area in series of full short-axis MRI data to obtain the graph of area changes and analyzing the graph. At the first step cardiac region is found in full short-axis cardiac MRI data. Finding the cardiac region in full short-axis images for the next step we could segment left ventricular cavity and then finding the area of left ventricular. Our new method results in a very good determination of left ventricular cavity. Also the graph of area changes of left ventricular in short-axis MRI data leads us to a very good analytic tool for interpretation of heart problems and analyzing the left ventricular states. In addition to preciseness, our new method in all of the processing steps is based on fast calculations and is fully automatic.
Keywords :
biomedical MRI; cardiology; medical computing; Magnetic Resonance Imaging; area changes analyzer; area changes graph analyzer; automatic obtaining; cardiac region; computer based changes estimation; fast full automatic calculation; full short axis MRI data; heart problem interpretation; left ventricular area; left ventricular cavity; Cardiology; Digital images; Electrocardiography; Heart; Image analysis; Image recognition; Image segmentation; Magnetic analysis; Magnetic resonance imaging; Myocardium; ECG; Left Ventricular cavity segmentation; Left ventricular Area; Short axis cardiac MRI segmentation;
Conference_Titel :
Digital Image Processing, 2009 International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-3565-4
DOI :
10.1109/ICDIP.2009.13