High-Performance, Low-Cost Optical Coherence Tomography System Using a Jetson Orin Nano for Real-Time Control and Image Processing.

IF 2.6 3区医学 Q2 OPHTHALMOLOGY

Translational Vision Science & Technology Pub Date : 2025-03-03 DOI:10.1167/tvst.14.3.24

Wan Wang, David A Miller, Hillel B Price, Xiangyue Yang, William J Brown, Adam Wax

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引用次数: 0

Abstract

Purpose: Optical coherence tomography (OCT) has become an indispensable tool for the detection and analysis of diseased retinal tissue. Recent advances in reducing the size and cost of OCT systems have aimed at expanding their use for new applications and settings, such as serving as a screening tool at the point of care or in low-resource areas. Here, we report on the development of a compact, low-cost OCT system that offers significantly improved performance while also further reducing cost and system size.

Methods: A high-performance OCT system was realized by leveraging graphics processing unit (GPU)-accelerated parallel processing in a system on module, the NVIDIA Jetson Orin Nano, integrated into a low-cost OCT system. Instrument performance for retinal imaging was benchmarked against current low-cost OCT systems.

Results: A fivefold increase in processing speed was obtained for the Jetson-powered low-cost OCT without loss of image quality. The compact and low-cost nature of the system was preserved while its volume was reduced by 67% and computing cost was reduced by 22%.

Conclusions: The advance in imaging performance can significantly expand the accessibility and clinical utility of low-cost OCT systems.

Translational relevance: Implementation of the system on module computer improved the computational performance without compromising the cost or size of low-cost OCT systems, which will accelerate the application of low-cost OCT to clinical use.

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来源期刊

Translational Vision Science & Technology Engineering-Biomedical Engineering

CiteScore

5.70

自引率

3.30%

发文量

346

审稿时长

25 weeks

期刊介绍： Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.