Paper Info
Title
Automatic evaluation of the Valsalva sinuses from cine-MRI.
Abstract
Although, there is no global consensus on their measurement, magnetic resonance imaging (MRI) appears to be particularly attractive for the study of the sinuses of Valsalva (SV). The purpose of this study was to automatically evaluate the SV from cine-MRI using a standardized method.An automatic method based on mathematical morphology was elaborated to segment the aortic root from cross-sectional cine-MRI, and to detect relevant points, such as the commissures, the cusps and the centre of the SV. The distances between these points allow a metric evaluation of the SV. Our method was tested on synthesized data and 41 patient data sets and radii calculations were compared with manual processing.On the patient data sets, there are excellent correlation and concordance between manual and automatic measurements for images at diastole (r=0.97; y=0.97x+0.57; P<10(-5); mean of differences=0.2 mm; standard deviation of differences=2.0 mm) and at systole (r=0.96; y=0.96x+1.2; P<10(-5); mean of differences<0.1 mm; standard deviation of differences=2.4 mm).Our automatic method provides reliable morphometric evaluation of the SV. Measures of distances between relevant points allow a precise evaluation of each cusp of the SV. This robust evaluation can be helpful in the follow-up of patients with aortic root diseases.
Year
DOI
Venue
2011
10.1007/s10334-011-0283-6
Magnetic Resonance Materials in Physics Biology and Medicine
Keywords
Field
DocType
Sinus of Valsalva,Image processing,Computer-assisted,Automatic data processing,Magnetic resonance imaging
Nuclear medicine,Data set,Mathematical morphology,Diastole,Radiology,Surgery,Systole,Standard deviation,Medicine,Magnetic resonance imaging
Conference
Volume
Issue
ISSN
24
6
1352-8661
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
Cédric Blanchard100.34
Lalande Alain210.79
Tadeusz Sliwa300.34
Olivier Bouchot400.34
Yvon Voisin56512.66