DocumentCode :
276186
Title :
Segmentation by deformable contours of MRI sequences of the left ventricle for quantitative analysis
Author :
Richens, D. ; Rougon, N. ; Bloch, I. ; Mousseaux, E.
Author_Institution :
Telecom Paris, France
fYear :
1992
fDate :
7-9 Apr 1992
Firstpage :
393
Lastpage :
396
Abstract :
The article presents an application of a deformable contour model to extract the epicardial and endocardial boundaries of the left ventricle (LV) from a time sequence of cardiac MR images. The deformable model used is based on the work of Rougon and Preteux (1991). In order to exploit both the geometric and photometric information present in temporal image sequences, an additional coupling force between the contours located in adjacent images is introduced. Automatic and robust initialization procedures for the iterative optimization of the model are investigated in order to reduce interactivity. The segmentation results are then used to calculate the evolution of the LV volume during the cardiac cycle. From these measurements, it is possible to compute precisely clinical parameters such as peak filling rate or ejection fraction. This method provides therefore a first step towards an automatic quantitative characterization of the heart function
Keywords :
biomedical NMR; cardiology; computerised picture processing; medical computing; LV volume; MRI sequences; automatic initialization; cardiac MR images; cardiac cycle; coupling force; deformable contours; ejection fraction; endocardial boundaries; epicardial boundaries; geometric information; heart function; iterative optimization; left ventricle; peak filling rate; photometric information; quantitative analysis; robust initialization; segmentation; temporal image sequences; time sequence;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and its Applications, 1992., International Conference on
Conference_Location :
Maastricht
Print_ISBN :
0-85296-543-5
Type :
conf
Filename :
146820
Link To Document :
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