Computer Vision for Ophthalmology

RSIP Vision has developed for clients countless projects in the field of ophthalmology. When coupled with sophisticated ophthalmic imaging and measurement techniques, modern technology allows for great precision in both medical diagnosis and prescription eyeglass glasses. With our work in computer vision for ophthalmology we help eye physicians to give their patients the best treatment for many pathologies and we also enable vision professionals to provide perfectly adapted lenses for everyone's eyes.

Automatic Detection of Cysts

A series of five articles on our Cysts Detection project using deep learning and Convolutional Neural Networks: 1) our cyst detection method; 2) the cyst denoising process; 3) the retinal layer segmentation; 4) the automatical seed-detection; 5) the final detection of the cysts. Our method is exceptionally successful at finding the cysts themselves and most of their area. Remarkable results are achieved even when using relatively small datasets in the training process. Read more...

OCT Angiography

Optical coherence tomography angiography uses OCT to produce high-resolution images of the vascular tree in the eye. A fast and non-invasive procedure, it generates high resolution tridimensional images. Stitching multiple images together and increasing image information and clarity, RSIP Vision's solution allows physicians to quickly and accurately detect pathologies related to vascularization without side effects or clinical hazards. Read more...

Montage/Panorama of Fundus Images

RSIP Vision has developed software which finds common points within the images and reorients them to ‘stitch’ together an accurate panoramic presentation of the retina. Our image stitching technology reconstruct the vascular tree of the retina also when images are acquired at different angles. Its end result enables the ophthalmologist to analyze the patient’s retinal vascular tree through an efficient and non-invasive process. Read more...

Automatic Pupil Distance Measurement

Modern eye glasses need high precision measurements to ensure the best fit. Interpupillary distance, the distance between the projections of the pupil on the cornea, is one of the most important measurements. Sophisticated algorithms, developed by RSIP Vision to determine with high precision the center of vision corresponding to the pupil, have been integrated into machinery used in eye clinics and embedded as an application in portable devices, such as cell phones. Read more...

Multi-modality Registration of Retina Images

Is it possible to perform combination of fundus images coming from different imaging equipment or technologies and taken from different angles? RSIP Vision apparently can, since we used our expertise in computer vision for ophthalmology to provide software to a client who wanted to combine direct images of the fundus with fluorescein images, which need to be reconstructed before being connected together to form a more detailed image. The end result provides ophthalmologists with detailed images of the retina, ensuring more efficient and accurate patient diagnosis. Read more...

Measurement of the Retinal Thickness

Retinal thickness is a key measurement used to assess the health of the retina and whether it needs any treatment. Thickness measures can be compared to optimal ranges or to data from the same patient over time, helping ophthalmologists to identify retinal disorders. Advanced optimization methods, borrowed from graph theory, enable us to solve the complex challenge of measuring retinal thickness within reasonable processing time. Read more...

Cataract Surgery Guidance

Our technology can guide surgeons performing a cataract surgery procedure, by tracking points of interest and their movement. In this way, cuts will be minimized and all operations will be performed with the highest precision. RSIP Vision is able to do that thanks to sophisticated detection and extraction algorithms in the field of image processing, providing the most accurate cataract surgery tool. Read more...