Mahurkar A A, Vivino M A, Trus B L, Kuehl E M, Datiles M B, Kaiser-Kupfer M I
Ophthalmic Genetics and Clinical Services Branch, National Eye Institute, National Institutes of Health, Bethesda, Maryland 20892-1860, USA.
Invest Ophthalmol Vis Sci. 1996 Jul;37(8):1675-83.
To develop computer algorithms for reconstructing 24-bit color, wide-angle composite retinal fundus images from a set of adjacent 45 degrees fundus slides. The authors present the description, technical details, and results of the image reconstruction technique.
Patients with retinal degeneration underwent fundus photography with a 45 degrees field-of-view fundus camera. Individual photographic slides were digitized for creating fundus montages. Background variations in individual 45 degrees images were modeled to first- or second-order two-dimensional polynomial functions to generate a background image. The background image was subtracted from the original image to obtain background corrected image. Background corrected images were registered and spatially transformed using a first- or second-order two-dimensional polynomial warp model to reconstruct a composite retinal fundus montage.
The authors successfully reconstructed 24-bit color, 100 degrees field-of-view, composite retinal fundus images. The computer-reconstructed montages are an improvement over manually generated montages because computer analysis can be performed on the computer-based montages. In addition, background variations and discontinuities between individual photographs observed in manually generated montages are reduced greatly in computer-generated montages. Most important, the computer-generated montages are better aligned than the manually generated photomontages.
This method of reconstructing a wide-angle composite retinal fundus image from a set of adjacent small- and wide-angle fundus slides is a new tool for creating montages as large as 100 degrees field of view. The computer-generated montages may be used for documenting and quantifying retinal findings. This can greatly assist studies of retinal manifestations of diseases, such as gyrate atrophy, retinitis pigmentosa, sickle cell disease, and acquired immune deficiency syndrome.
开发计算机算法，用于从一组相邻的45度眼底幻灯片重建24位彩色、广角复合视网膜眼底图像。作者介绍了图像重建技术的描述、技术细节和结果。
视网膜变性患者使用45度视野眼底相机进行眼底摄影。将单张摄影幻灯片数字化以创建眼底蒙太奇图像。将45度单张图像中的背景变化建模为一阶或二阶二维多项式函数，以生成背景图像。从原始图像中减去背景图像以获得背景校正图像。使用一阶或二阶二维多项式扭曲模型对背景校正图像进行配准和空间变换，以重建复合视网膜眼底蒙太奇图像。
作者成功重建了24位彩色、100度视野的复合视网膜眼底图像。计算机重建的蒙太奇图像优于手动生成的蒙太奇图像，因为可以对基于计算机的蒙太奇图像进行计算机分析。此外，在手动生成的蒙太奇图像中观察到的单张照片之间的背景变化和不连续性在计算机生成的蒙太奇图像中大大减少。最重要的是，计算机生成的蒙太奇图像比手动生成的照片蒙太奇图像对齐得更好。
这种从一组相邻的小角度和广角眼底幻灯片重建广角复合视网膜眼底图像的方法是创建高达100度视野蒙太奇图像的新工具。计算机生成的蒙太奇图像可用于记录和量化视网膜检查结果。这可以极大地辅助对诸如回旋状萎缩、视网膜色素变性、镰状细胞病和获得性免疫缺陷综合征等疾病的视网膜表现的研究。
