Diabetic CF-FA registration Keypoints Ground truth

We present a publicly available dataset of keypoints for multimodal retinal image registration using Color Fundus (CF) and Fractional Anisotropy (FA) images. This dataset is derived from the diabetic retinal image dataset [1], consisting of 59 subjects (29 healthy controls and 30 diabetic patients). The CF images are captured in RGB, while FA images, highlighting microvascular structures, are provided in grayscale, both at a resolution of 720 × 576 pixels. For each subject, we manually annotated 6-8 corresponding keypoint pairs between the modalities, enabling precise alignment of retinal structures. Annotations were independently performed by two experts from Vanderbilt University Medical Center, ensuring high-quality landmark identification.[1]. Hajeb Mohammad Alipour, S., Rabbani, H., & Akhlaghi, M. R. (2012). Diabetic retinopathy grading by digital curvelet transform. Computational and mathematical methods in medicine, 2012(1), 761901.