Le2i, UMR 5158, Site Universitaire d'Auxerre, Route des Plaines de l'Yonne, BP16, 89010, Auxerre, France.
MAGMA. 2011 Dec;24(6):359-70. doi: 10.1007/s10334-011-0283-6. Epub 2011 Sep 18.
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.
尽管对于其测量方法尚未达成全球共识，但磁共振成像（MRI）似乎特别适合用于研究瓦氏窦（SV）。本研究旨在使用标准化方法自动从电影 MRI 评估 SV。
精心设计了一种基于数学形态学的自动方法，用于从电影 MRI 中分割主动脉根部，并检测相关点，如瓣膜交界、瓣叶和 SV 中心。这些点之间的距离可用于对 SV 进行度量评估。我们的方法在合成数据和 41 个患者数据集上进行了测试，并比较了半径计算与手动处理的结果。
在患者数据集上，舒张期（r=0.97；y=0.97x+0.57；P<10(-5)；平均差异=0.2mm；差异标准差=2.0mm）和收缩期（r=0.96；y=0.96x+1.2；P<10(-5)；平均差异<0.1mm；差异标准差=2.4mm）图像的手动和自动测量之间存在极好的相关性和一致性。
我们的自动方法可提供 SV 的可靠形态计量评估。相关点之间距离的测量可对 SV 的每个瓣叶进行精确评估。这种稳健的评估对于主动脉根部疾病患者的随访可能会有所帮助。
