AI OCT

BV1000 series AI OCT (Optical Coherence Tomography) for Ophthalmology is an integrated automatic artificial intelligence OCT system with both soft and hard capabilities, boasting complete independent property rights. It combines cutting-edge multi-image registration enhancement technology with industry-leading analysis techniques to offer a comprehensive solution for clinical diagnosis and treatment. This includes automated image capture, precise image analysis, intelligent and real-time cloud-based data sharing.

BV1000T: Scanning Speed≥20,000/second

BV1000M: Scanning Speed≥55,000/second

BV1000S: Scanning Speed≥80,000/second

Features

Ultra-fast fundus signal acquisition

20/55 KHZ models provide more solutions for both optometry and ophthalmology markets, helping to accurately capture different subdivision forms of fundus lesions in a shorter time and obtain high-quality images.

Hyperfine fundus structure imaging

The AI multimodal ophthalmic image analysis algorithm based on deep learning can more finely observe the subdivision

morphology of various fundus diseases and the development of lesions indifferent structural layers of the retina, realize

the hierarchical imaging of the retina and choroid, support the monitoring, diagnosis and hierarchical analysis of the

disease, and help clinicians find more is ease evidence for patients and guide treatment.

Ultra humanized design

Ophthalmic OCT adopts the split design of optical host and display, combining excellent optical design, automatic algorithm, parallel high-speed computing framework and high ease of use human-computer interaction interface. The imaging quality, analysis accuracy, calculation speed and operation convenience are greatly improved.

Functionalities

Large Field Analysis Function

Large field scan (12mm X 9mm): Covering the macular area and the optic disc area at the same time, can fully detect the retinal disease.

Software analysis: 12*9mm fundus map/Average choroidal thickness/Macular foveal thickness /Grid map of TSNI thickness of the nerve fiber layer/Total retinal volume/RNFL circular thickness/Average retinal thickness/Grid map of macular 6*6mmILM-RPE thickness/Topographic map of RNFL thickness/ILM-RPE thickness topogram/Grid map of macular 6*6mmILM-OPL thickness/BRM-SCL thickness topographic map/ILM-OPL thickness topographic map/Meshes of macular 6*6mmBRM-SCL thickness

High-definition single line scan

Six radial lines scan

Glaucoma Analysis Function

Disc Area

Software analysis: 6*6mm fundus map of the optic disc/Cup to disc ratio/Vertical cup to plate ratio/Optic cup area/RNFL rim sweep thickness curve/Topographic map of RNFL thickness/Grid map of TSNI thickness of the nerv fiber layer

The Macular Area

Software analysis: 6*6mm fundus map of the macula/Average thickness of the inner retina/Average retinal thickness/Macular foveal thickness/ILM-RPE thickness topography/Grid map of ILM-RPE thickness/Topographic map of RNFL thickness

Anterior Segment Analysis Function

High-definition single line scan of anterior segment

Six radial lines scan of anterior segment

Diagram of the Lesion

It can be used for auxiliary diagnosis of 16 main fundus diseases

Macular Hole

Macular hole is a tissue loss of the entire layer or part of the macular nerve retina. Most of them are idiopathic and related to abnormal vitreomacular traction, and a few are related to trauma. Lamellar macular hole (LMHH) is a layer of tissue loss on the surface of the fovea and is often associated with the epiretinal membrane.

Subretinal Fluid

On AI OCT, there was a serous detachment under the retinal neuroepithelial layer, with uniform hypo reflection within the detachment area, and a continuous light reflection zone in the retinal pigment epithelial layer below.

Ophthalmic OCT Report

AI OCT Parameters

Scanning Modes: