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.
Why FPGA Technology Matters in Medical Imaging
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.
High-Resolution Imaging with Minimal Latency
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.
Compact and Power-Efficient System Design
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.
Real-World Medical Imaging Applications
Advanced Diagnostic Imaging Devices
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.
ThermoMind Case Study – Early Breast Cancer Detection
Multimodal, Radiation-Free Screening: ThermoMind’s Vision One device combines infrared, depth sensing, and AI to detect physiological changes linked to early-stage breast cancer. The system captures over 300 data points per scan and operates with no radiation, no contact, and no invasive procedures.
High-Bandwidth Real-Time Imaging: Powered by Gidel’s FantoVision40-CXP12 edge computer and FPGA-based frame grabbers, the system acquires and processes multiple high-resolution sensor streams simultaneously. Up to 15 sensors capture data at 30–60 fps, while real-time FPGA Compression IPs eliminate acquisition bottlenecks.
Compact, Deployable Medical Platform: This mini system architecture enables easy integration into space-constrained medical environments. Its performance and efficiency support global deployment, including multi-center clinical trials with leading medical institutions.
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.
Real-Time Image-Guided Surgery
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.
Reliable Medical Imaging Solutions from Gidel
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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Products & Solutions for Medical Imaging
At Gidel, we specialize in modular, customizable technology to suit your exact requirements.
Let us help you find the ideal solution – ContactUS.
Gidel PCIe frame grabbers manage high-bandwidth camera acquisition directly on the Altera FPGA, enabling deterministic, low-latency data capture while reducing CPU overhead. Optional inline FPGA processing supports real-time image enhancement, Compression, HDR, and data optimization before host-side processing.
Open FPGA for customer development. Use our platforms as a base to modify data flow and implement custom algorithms on the FPGA. The ProcVision Suite streamlines development and optimizes system performance.
Tailored FPGA flows. Built on Gidel’s proven infrastructure and R&D expertise—algorithm research, customization, and optimized FPGA utilization for best-in-class acquisition and subsystem acceleration, aligned to your specs.
As a result, your Imaging & Vision Solutions reach market faster and deliver higher performance.
We want to hear more about your requirements!
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For advanced development, ProcWizard and Gidel templates enable real-time on-FPGA processing and system architecture customization, including software, I/O interfaces, and HDL design code. The suite can automatically generate the board’s Application Support Package (ASP), including software drivers, the HDL top-level envelope, interface bridges, and Gidel proprietary IPs such as Compression and HDR.
Gidel’s MultiPort memory controller can also be seamlessly integrated, enabling simultaneous multi-application access to the frame grabber and supporting flexible, scalable Imaging & Vision development.
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FPGA-Based Camera Acquisition and Processing for Jetson Edge AI
In each FantoVision20 system, the built-in Altera FPGA frame grabber manages high-speed camera acquisition and can perform inline real-time processing, including Compression, HDR, and image enhancements, before data reaches NVIDIA Jetson. This reduces processing overhead on Jetson and preserves resources for CUDA-based imaging and AI.
JPEG Encoder IP – Real-time JPEG compression on FPGA with ultra-low latency, adjustable compression, and efficient silicon use.
Lossless Compression IP – Preserves full image data with zero quality loss, perfect for precision-critical applications.
Quality+ compression IP – Patented, training-based algorithm achieving up to 10:1 compression while preserving and enhancing image SNR, ideal for demanding Imaging & Vision applications.
Gidel’s compression solutions reduce bandwidth, minimize storage, and enhance overall system performance—all in real time.
GIL – Compression Libs: JPEG, lossless, Quality+, integration of 3rd party
GIL – GENCAM Libs: Camera control and streaming
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Resources
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.
Other Applications
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