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
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