ICT Centre, Commonwealth Scientific and Industrial Research Organization, WA 6014, Australia.
Comput Methods Programs Biomed. 2013 Jul;111(1):104-14. doi: 10.1016/j.cmpb.2013.02.004. Epub 2013 Mar 25.
Recent research suggests that retinal vessel caliber (or cross-sectional width) measured from retinal photographs is an important feature for predicting cardiovascular diseases (CVDs). One of the most utilized measures is to quantify retinal arteriolar and venular caliber as the Central Retinal Artery Equivalent (CRAE) and Central Retinal Vein Equivalent (CRVE). However, current computer tools utilize manual or semi-automatic grading methods to estimate CRAE and CRVE. These methods involve a significant amount of grader's time and can add a significant level of inaccuracy due to repetitive nature of grading and intragrader distances. An automatic and time efficient grading of the vessel caliber with highly repeatable measurement is essential, but is technically challenging due to a substantial variation of the retinal blood vessels' properties. In this paper, we propose a new technique to measure the retinal vessel caliber, which is an "edge-based" vessel tracking method. We measured CRAE and CRVE from each of the vessel types. We achieve very high accuracy (average 96.23%) for each of the cross-sectional width measurement compared to manually graded width. For overall vessel caliber measurement accuracy of CRAE and CRVE, we compared the results with an existing semi-automatic method which showed high correlation of 0.85 and 0.92, respectively. The intra-grader reproducibility of our method was high, with the correlation coefficient of 0.881 for CRAE and 0.875 for CRVE.
最近的研究表明,从视网膜照片中测量视网膜血管口径(或横截面积)是预测心血管疾病(CVDs)的重要特征。最常用的测量方法之一是量化视网膜动脉和静脉的口径,作为中央视网膜动脉当量(CRAE)和中央视网膜静脉当量(CRVE)。然而,目前的计算机工具利用手动或半自动分级方法来估计 CRAE 和 CRVE。这些方法涉及到大量的分级员时间,并且由于分级的重复性和分级员之间的距离,可能会增加相当大的不准确性。自动和高效的血管口径分级以及高度可重复的测量是至关重要的,但由于视网膜血管性质的显著变化,这在技术上具有挑战性。在本文中,我们提出了一种新的测量视网膜血管口径的技术,这是一种“基于边缘”的血管跟踪方法。我们测量了每种血管类型的 CRAE 和 CRVE。与手动分级宽度相比,我们的方法对每个横截面宽度测量都达到了非常高的精度(平均 96.23%)。对于 CRAE 和 CRVE 的整体血管口径测量精度,我们将结果与现有的半自动方法进行了比较,结果显示相关性分别为 0.85 和 0.92。我们的方法的分级员内可重复性很高,CRAE 的相关系数为 0.881,CRVE 的相关系数为 0.875。