Gidel’s Technology in Medical Imaging Applications
Gidel’s FPGA-based grabbing and image processing systems are exceptionally suited for the demanding requirements of medical imaging applications. These technologies provide Real-time, High-throughput data handling and flexible architecture that enable virtually seamless integration into diverse medical imaging systems. By combining high-speed data acquisition, efficient memory management, and advanced processing capabilities, Gidel’s solutions empower healthcare devices to deliver precise, reliable, and actionable imaging results.
One of the key advantages of Gidel’s technology is its ability to handle high-resolution imaging data with minimal latency, ensuring the delivery of high-quality video essential for diagnostics and interventions. Gidel’s systems also support advanced features like HDR Processing, Real-time overlays, and feature extraction, all of which are critical for modern medical imaging workflows. Their compact form factor and low power consumption make them ideal for integration into space-constrained and energy-sensitive environments such as operating rooms and portable imaging devices.
Applications Examples:
By integrating Gidel’s customizable, high-performance solutions, medical imaging systems achieve greater efficiency, reliability, and accuracy, ultimately leading to improved patient outcomes and enhanced healthcare delivery.
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.
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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.
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Reuven Weintraub, founder and CTO of Gidel, reveals how to unlock exceptional image processing performance by adding FPGA’s processing.
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Gidel CTO explains how to boost your system performance and overcome key bottlenecks in Vision and Imaging Systems
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Edge computing is gaining ground in the vision industry. However, it is struggling with bandwidth and latency limitations when it comes to high-resolution, high-speeda and/or complex multi-camera systems. This presentation explores the bandwidth bottlenecks and technical challenges and investigates technical solutions to implement high-bandwidth, low-latency imaging with AI processing on the edge.
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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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