6533b838fe1ef96bd12a42ec
RESEARCH PRODUCT
Extraction et analyse automatiques des sinus de Valsalva à partir de séquences IRM
Cédric BlanchardTadeus SliwaAlain LalandeOlivier BouchotYvon Voisinsubject
[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]description
MRI appears to be particularly attractive for the study of the Sinuses of Valsalva (SV), however there is no global consensus on their suitable measurements. In this paper, we propose a new method to automatically evaluate the SV from cine-MRI in a cross-sectional orientation. It consists in the extraction of the shape, the detection of relevant points (commissures, cusps and the centre of the SV), the measure of associated distances and in a classification of the SV as bicuspid or tricuspid. Our method was tested on 23 patient examinations and radii calculations were compared with manual processing. The classification of the valve as tricuspid or bicuspid was correct for all the cases. Moreover there are excellent correlation and concordance between manual and automatic measurements for images at diastole and at systole phases on the patient data set.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2011-06-01 |