About this Research Topic
More than 80% of the information we need to perceive the world is delivered by vision. According to the WHO's World report on Vision 2019, there are at least 2.2 billion visually impaired people worldwide, with at least 1 billion possessing a vision impairment that should have been prevented or that is yet to be tackled. Visual disorders place significant economic burdens on the patients, their families, and the healthcare system. The diseases of the eye, optic nerve and brain may cause vision impairment. Early detection and diagnosis of these pathologies would enable forestall of visual loss or brain structure and function disorders. And imaging is an important technique for the diagnosis of these diseases. For instance, optical coherence tomography (OCT) has been used to explore the relationship between the thickness of retinal layers and patients' visual functions and evaluate morphological changes in the retina induced by a pituitary adenoma. Also, functional MRI has been used to visualize the cortex activity. Optical coherence tomography angiography (OCTA) is also a new imaging modality of fundus regarded as the best visualization of retinal vasculature in the early stage.
This Research Topic is dedicated to recent advances in various imaging techniques in diagnosing and managing visual system disorders. We aim to address underacknowledged problems about all imaging modalities in the visual pathway, including fundus photography, scanning laser ophthalmoscopy, OCT, OCTA, adaptive optics, MRI, functional MRI. Both the research on the techniques of imaging and clinical applications neuro-ophthalmic functioning, degeneration in the face of neural or ocular disease, as well as possible influences of cognition, neural stability are desired.
We would like to invite investigators to contribute Original Research articles as well as Review articles addressing novel imaging techniques for diagnosis and management of visual disorders. Potential topics include, but are not limited to:
- OCT/OCTA for retinal disorders, optic nerve diseases and neural disorders
- Diagnosis of visual pathway disorders using MRI
- Automatic and semi-automatic software tools for visual disorder image analysis
- Novel computer-aided detection and diagnosis for diseases of the visual system
- Multimodal image analysis for the visual disorders
- Image registration/fusion such as OCT images, OCTA images, fundus photographs, fundus fluorescein angiography images
- Structure segmentation of retina，choroid, cornea, optic nerve，visual cortex (e.g., retinal layers, vasculature, optic disc, optic cup, lesions) in multimodal images
- Classification or screening of visual disorders
- Localization, detection, and recognition of visual disorders using advanced computer vision, machine learning (e.g., deep learning, reinforce learning) technologies
This Research Topic is dedicated to recent advances in various imaging techniques in diagnosing and managing visual system disorders. We aim to address underacknowledged problems about all imaging modalities in the visual pathway, including fundus photography, scanning laser ophthalmoscopy, OCT, OCTA, adaptive optics, MRI, functional MRI. Both the research on the techniques of imaging and clinical applications neuro-ophthalmic functioning, degeneration in the face of neural or ocular disease, as well as possible influences of cognition, neural stability are desired.
We would like to invite investigators to contribute Original Research articles as well as Review articles addressing novel imaging techniques for diagnosis and management of visual disorders. Potential topics include, but are not limited to:
- OCT/OCTA for retinal disorders, optic nerve diseases and neural disorders
- Diagnosis of visual pathway disorders using MRI
- Automatic and semi-automatic software tools for visual disorder image analysis
- Novel computer-aided detection and diagnosis for diseases of the visual system
- Multimodal image analysis for the visual disorders
- Image registration/fusion such as OCT images, OCTA images, fundus photographs, fundus fluorescein angiography images
- Structure segmentation of retina，choroid, cornea, optic nerve，visual cortex (e.g., retinal layers, vasculature, optic disc, optic cup, lesions) in multimodal images
- Classification or screening of visual disorders
- Localization, detection, and recognition of visual disorders using advanced computer vision, machine learning (e.g., deep learning, reinforce learning) technologies
Keywords: Retinal Disorders, Optic Nerve Diseases, Neural Disorders, Multimodal Image Analysis, Computer-Aided Detection and Diagnosis
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
