FPGA-Based Medical Imaging Solutions
Gidel delivers advanced medical imaging solutions built on FPGA-based image acquisition and processing architectures. These solutions address the demanding requirements of modern medical imaging systems, where real-time performance, high data throughput, and deterministic behavior are critical.
By combining high-speed image acquisition, efficient memory management, and flexible processing pipelines, Gidel enables medical imaging systems to deliver precise, reliable, and actionable imaging results for clinical use. Gidel’s portfolio includes high-performance Frame Grabbers, Mini Jetson Frame Grabbers, and Powerful Mini FPGA Modules designed for embedded and clinical environments.
Medical imaging applications demand consistent low latency, high-resolution data handling, and predictable system behavior. Gidel’s FPGA-based solutions provide real-time processing, high-throughput data handling, and a flexible architecture that integrates seamlessly into diverse medical imaging platforms.
As a result, system designers can meet strict performance, reliability, and regulatory requirements while maintaining long-term system stability, even when working with multi-sensor, high-bandwidth imaging modalities.
One of the key advantages of Gidel’s technology is its ability to handle high-resolution imaging data with minimal latency. This capability ensures the delivery of high-quality video streams that are essential for diagnostics, monitoring, and image-guided procedures.
Gidel’s architectures support advanced imaging features such as HDR processing, real-time overlays, and feature extraction, all of which play a central role in modern medical imaging workflows.
Gidel’s solutions combine a compact form factor with low power consumption, making them well suited for space-constrained and energy-sensitive environments. These include operating rooms, mobile imaging carts, and portable medical devices where thermal management and system size are critical. Mini FPGA modules and embedded vision platforms enable deterministic performance while meeting tight SWaP constraints.
In diagnostic imaging systems such as CT and MRI, Gidel’s technology accelerates image reconstruction by enabling high-speed data transfer and parallel processing. This improves overall system throughput and reduces the time required to generate clear, high-quality diagnostic images.
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Gidel’s Proc10A-40GigE platform supports advanced laparoscopic systems such as 270 Surgical’s SURROUND SCOPE™, which provides a 270-degree field of view. Through efficient DRAM utilization, real-time image overlays, and uncompressed 4K video output over 12G-SDI, Gidel’s solution enhances surgical visualization and intraoperative decision-making.
Gidel’s medical imaging solutions enable real-time image overlays that assist surgeons during complex procedures. The FPGA-based architecture ensures deterministic, low-latency feedback, which is essential for maintaining precision and reducing procedural risk. Mini Jetson Frame Grabbers enable tight integration between image acquisition, FPGA processing, and GPU-based AI inference.
System developers achieve greater efficiency by integrating Gidel’s customizable medical imaging solutions. These include frame grabbers, Mini Jetson Frame Grabbers, and compact FPGA modules. These capabilities contribute to improved patient outcomes and enhanced healthcare delivery
Gidel’s Software Development Tools simplify system integration and FPGA configuration. This enables faster development cycles and easier long-term maintenance of medical imaging systems.
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Novel medical device uses multimodal sensing and advanced AI processing to track digital biomarkers. ThermoMind Vision One breast screening device relies exclusively on multimodal image processing for a safe, radiation-free yet accurate diagnostic. Gidel FantoVision edge computer ensures precise acquisition of image data at high speed and high resolution.
270 Surgical’s SURROUND SCOPE™ laparoscopic system, which provides an expansive 270° field of view, exemplifies cutting-edge advancements in surgical visualization. A key enabler of this breakthrough technology is Gidel’s Proc10A, an FPGA-based system designed for Grabbing & Image Processing, integrated into the SURROUND SCOPE™ platform.
Reuven Weintraub, founder and CTO of Gidel, reveals how to unlock exceptional image processing performance by adding FPGA’s processing at Vision Show, Stuttgart 2024.
Reuven Weintraub – Gidel Founder and CTO describes how to boost performance in Machine Vision and Imaging systems. This talk has been given at the Vision Show 2024 Stuttgart, during the Vision Days Forum.
Image processing acceleration on NVIDIA Jetson embedded computer at the Embedded World 2024 show.
Gidel edge computers and frame grabbers at the Embedded World show 2024.
A short video introduction to FantoVision edge computers – 2023.
Boost your vision! Gidel’s high-performance GigE Vision, Camera Link and CoaXPress frame grabbers help overcome bandwidth bottlenecks in high-resolution and/or high-speed computer vision applications.
Gidel presented its FPGA-based architecture capable of processing Giga+ Pixels per second while maintaining exceptionally low power consumption.
The session demonstrated how Gidel’s scalable FPGA solutions deliver real-time imaging performance, energy efficiency, and deterministic throughput for advanced vision and imaging systems.
Reuven Weintraub, Founder and CTO of Gidel, presented Gidel’s solutions to perform high-bandwidth imaging on the edge at InVision TechTalk webinar held on September 2023.
Gidel founder and CTO Reuven Weintraub present the new with FantoVision edge computers for 10GigE Vision, Camera Link and CoaXPress interface for embedded vision on the edge at the Embedded World Show 2022 in Nuremberg, Germany.
Gidel founder and CTO Reuven Weintraub explain the benefits of Gidel’s Altera-based high-performance FPGA modules for fast and easy development.
Gidel founder and CTO Reuven Weintraub present the performance and versatility of Gidel’s GigE Vision, Camera Link and CoaXPress frame grabbers for high-speed image acquisition and pre-processing at the Embedded World 2022 in Nuremberg, Germany.
Presented by Reuven Weintraub, this talk highlighted Gidel’s expertise in real-time processing over Gigapixel/s image streams, demonstrating how FPGA-based architectures enable deterministic latency, scalable throughput, and efficient handling of ultra–high-resolution vision data.
Ron Muller presenting Gidel’s first heterogeneous Edge Computer Vision combining FPGA and NVIDIA Jetson at Industrial Vision Days conference at VISION 2021 show in Stuttgart, Germany.
Advanced vision systems rely on one or multiple high-resolution, high-speed cameras. These capture and deliver multiple gigapixels per second that need to be processed and/or compressed in real-time. While camera sensor technology and supporting interfaces are quicky evolving, traditional PCIe/CPU/GPU-based PC-architectures are lacking the required performance to capture, process, and store images at such data rates.
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