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首页> 外文会议>Conference on ophthalmic technologies >Comparison of the Foveal Avascular Zone in Diabetic Retinopathy, High Myopia and Normal Fundus Images.
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Comparison of the Foveal Avascular Zone in Diabetic Retinopathy, High Myopia and Normal Fundus Images.

机译：糖尿病性视网膜病变，高度近视和正常眼底图像中的中心凹血管区域的比较。

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To quantitatively describe and evaluate a new image processing technique for estimating the Foveal Avascular Zone (FAZ) in subjects with Diabetic Retinopathy and myopes. From a total of 328 images obtained from Diabetic Retinopathy (113), myopes (120) and normal (93), the FAZ dimensions were quantified using a new image processing algorithm. These parameters were also determined manually and by the OCT manufacturer's inbuilt algorithm. In the new technique, the images were first pre-processed by using a DOG filter iteratively before being complemented followed by a Prewitt edge detection and repeated image dilation at angles of 0°, 45° and 90°. Image closure was then applied followed by noise and small object removal which resulted in the segmented boundary. For deeper insight into shape change, in addition to the diameter of the FAZ other parameters such as the area, diameter, major axis, minor axis, orientation, perimeter vessel avascular density (VAD), Vessel diameter Index (VDI), etc. were obtained. The circularity index was calculated using the FAZ area and perimeter parameters. The mean FAZ diameter (mm) by the new automated technique, manual-segmentation (ground truth), and inbuilt instrument algorithm were 0.67 ± 0.87, 0.67 ± 0.72 and 0.61 ± 0.14. The mean of FAZ area (mm2) was 0.36 ± 0.10, 0.33 ± 0.09 and 0.43 ± 0.14 in normal, myopia and diabetic subjects respectively. The new technique shows considerable improvement in accuracy (mean ± SD) when compared to the inbuilt system segmentation and the ground truth (manual marking by an expert clinician). The study results show that the FAZ area in Diabetic Retinopathy is significantly different (p=0.003) when compared to myopic eyes (p=0.016) and normals.
机译：为了定量地描述和评估一种新的图像处理技术，以评估糖尿病性视网膜病变和近视患者的黄斑中心血管区（FAZ）。从总共328张从糖尿病性视网膜病变（113），近视（120）和正常（93）获得的图像中，使用一种新的图像处理算法对FAZ尺寸进行了量化。这些参数也由OCT制造商的内置算法手动确定。在新技术中，首先对图像进行迭代处理，然后使用DOG滤波器进行迭代处理，然后进行补充，然后进行Prewitt边缘检测，并以0°，45°和90°的角度重复进行图像放大。然后应用图像封闭，然后进行噪声和小物体去除，从而导致分割出的边界。为了更深入地了解形状变化，除了FAZ的直径外，还包括面积，直径，长轴，短轴，方向，周长血管无血管密度（VAD），血管直径指数（VDI）等其他参数。获得。使用FAZ面积和周长参数计算圆度指数。通过新的自动化技术，手动分段（地面真实情况）和内置仪器算法得出的平均FAZ直径（mm）为0.67±0.87、0.67±0.72和0.61±0.14。正常，近视和糖尿病患者的FAZ面积平均值（mm2）分别为0.36±0.10、0.33±0.09和0.43±0.14。与内置系统分割和地面实况（由专业临床医生手动打标）相比，新技术显示出准确性（均值±SD）的显着提高。研究结果表明，与近视眼（p = 0.016）和正常人相比，糖尿病性视网膜病变的FAZ面积有显着差异（p = 0.003）。

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