AI in OCT (Optical Coherence Tomography) Image Analysis
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 70
Special Issue Editors
Interests: medical image processing; machine/deep learning; intravascular optical coherence tomography; computed tomography
Interests: medical image analysis; computer vision; ophthalmology; artificial intelligence, machine learning
Special Issue Information
Dear Colleagues,
Optical coherence tomography (OCT) is a non-invasive diagnostic technique that utilizes near-infrared light. With its exceptional high-contrast and high-resolution capabilities, OCT has undeniably emerged as a promising imaging tool in various clinical diagnostic domains. Notably, this versatile technology finds applications in several clinical areas, which include:
- Retinal Imaging: Including the detection of diabetic macular edema, epithelial mapping for refractive surgery, diagnosis and management of patients with neuro-ophthalmic conditions, and imaging of retinal microcirculation.
- Dental Imaging: Involving the detection of age-associated changes in teeth, diagnosis of dental caries, and tooth wear.
- Intravascular Imaging: Covering the imaging of coronary atherosclerotic plaque, stent strut analysis, fractional flow reserve measurement, and assessment of outcomes in percutaneous coronary interventions.
Recent advances in artificial intelligence (AI) have catalyzed further innovative applications of OCT in diagnosis, treatment planning, and the monitoring of treatment outcomes. A broader perspective is often the key to unlocking the full potential of innovation. As AI methodologies and their applications continue to evolve, OCT is progressively venturing into new frontiers of clinical utility.
We are pleased to announce our forthcoming Special Issue, which focuses on the latest findings related to the applications of AI in conjunction with OCT. Topics of interest are comprehensive, but are not limited to:
- Ex-vivo tissue imaging using OCT;
- OCT for retinal imaging;
- OCT for dental imaging;
- OCT for intravascular imaging;
- AI applications to improve the OCT image quality;
- Novel image analysis for improving the OCT image quality.
Dr. Juhwan Lee
Dr. Kiran Kumar Vupparaboina
Guest Editors
Manuscript Submission Information
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Keywords
- retinal imaging
- dental imaging
- intravascular imaging
- optical coherence tomography
- machine learning
- deep learning
- advanced image processing
