Database for the purpose of vessel-based registration of Fundus and OCT projection images

Database for the purpose of vessel-based registration of Fundus and OCT projection images : The new techniques of three-dimensional (3D)-optical coherence tomography (OCT) imaging is very useful for detecting retinal pathologic changes in various diseases and determining retinal thickness ‘abnormalities’. Fundus colour images have been used for several years for detecting retinal abnormalities too. If the two image modalities were combined, the resulted image would be more informative because some of the vessels appear in fundus image whereas some other vessels are better released in OCT images. Moreover, some abnormalities such as drusen, geographic atrophy and macular hemorrhages are detected in colour fundus images but the exact morphology and localisation of these abnormalities are released in OCT images. The first step to combine these two modalities is to register colour fundus images with an en face Q2 representation of OCT.

This dataset consists 22 pairs of images (17 macular and 5 prepapillary), from random patients, each pair acquired from eyes with a variety of retinal diseases. Each image pair includes a colour fundus image and one OCT image acquired with Topcon 3D OCT-1000 instrument. OCT images contain images of 650 different slices with a size of 650 × 512 × 128 voxels and a voxel resolution of 3.125 µm × 3.125 µm × 7 µm.

Please reference the following paper if you would like to use any part of this dataset or method.

Golabbakhsh, M., & Rabbani, H. (2013). Vessel-based registration of fundus and optical coherence tomography projection images of retina using a quadratic registration model. IET Image Processing, 7(8), 768-776.

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