Automatic Evaluation of the Sinus of Valsalva from Cine-MRI
Author Information
Author(s): Blanchard Cédric, Sliwa Tadeusz, Lalande Alain, Steinmetz Eric, Mohan Pauliah, Bouchot Olivier, Voisin Yvon
Primary Institution: LE2I UMR5158, Auxerre, France
Hypothesis
The study aims to automatically evaluate the sinus of Valsalva from cine-MRI images to determine the maximal radius for diagnosing SV dilatation.
Conclusion
The study found that automatic evaluation of the sinus of Valsalva provides reliable diagnosis of SV dilatation.
Supporting Evidence
- There is an excellent correlation between manual and automatic measurements (r= 0.93).
- The maximum distance between two cusps determines the maximum radius.
- The Bland-Altman study shows an excellent concordance between manual and automatic approaches.
Takeaway
Doctors can use special MRI pictures to automatically measure a part of the heart called the sinus of Valsalva, which helps them see if it's too big.
Methodology
Cine-MR images were acquired and analyzed using an automatic method based on mathematical morphology and RANSAC for segmentation.
Participant Demographics
2 women and 11 men, age: 54±11 years, body surface area: 1.97±0.19 m2.
Statistical Information
P-Value
<10-3
Statistical Significance
p<10-3
Digital Object Identifier (DOI)
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