Abstract: A three-dimensional (three dimensional) segmentation method with intensity-based Doppler variance (IBDV) based on swept-source OCT. The automatic three dimensional segmentation method is used to obtain seven surfaces of intra-retinal layers. The microvascular network of the retina, which is acquired by the IBDV method, can be divided into six layers. The microvascular network of the six individual layers are visualized, and the morphology and contrast images can be improved by using the segmentation method. This method has potential for earlier diagnosis and precise monitoring in retinal vascular diseases. Each tomographic image is composed of eight repeat scans at the same position, which achieves a high time difference to improve the sensitivity of the angiographic method. A subpixel registration algorithm is used to reduce the eye movement. The GPU was used to accelerate the data processing to achieve real-time preview of the acquired data.

Abstract: A three-dimensional (three dimensional) segmentation method with intensity-based Doppler variance (IBDV) based on swept-source OCT. The automatic three dimensional segmentation method is used to obtain seven surfaces of intra-retinal layers. The microvascular network of the retina, which is acquired by the IBDV method, can be divided into six layers. The microvascular network of the six individual layers are visualized, and the morphology and contrast images can be improved by using the segmentation method. This method has potential for earlier diagnosis and precise monitoring in retinal vascular diseases. Each tomographic image is composed of eight repeat scans at the same position, which achieves a high time difference to improve the sensitivity of the angiographic method. A subpixel registration algorithm is used to reduce the eye movement. The GPU was used to accelerate the data processing to achieve real-time preview of the acquired data.