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Medical
Medical Video and Vision
FPGAs for real-time image processing in endoscopes, medical monitors and robotic/remote surgical systems.
Real-Time Video and Vision for Medical Diagnostics
FPGAs are crucial in medical video and vision applications for processing high-resolution images and video data in real time, enhancing image quality, extracting features, and compressing data in devices like endoscopes and surgical equipment.
Their reconfigurability allows ongoing updates and optimization of imaging algorithms, aiding accurate diagnostics and surgical precision while improving patient care and outcomes as new video and AI standards emerge.
The Challenges, and Why FPGA
The Challenge
4K/8K Real-Time Video Processing
Endoscopes and surgical systems require ultra-low-latency video processing without compromising image quality.
Why FPGA
Low-Latency Video Pipelines
FPGAs process video in hardware, enabling real-time scaling, enhancement, and analytics with ultra-low latency.
The Challenge
Image Quality Enhancement
Clinicians rely on clear images for diagnosis and navigation in challenging lighting and tissue conditions.
Why FPGA
Real-Time Image Enhancement
FPGAs accelerate ISP functions such as noise reduction, HDR, sharpening, and color correction in real time.
The Challenge
AI-Assisted Surgical Guidance
OEMs need AI overlays and object detection without introducing delays during procedures.
Why FPGA
Edge AI Video Acceleration
FPGAs run AI inference alongside video pipelines, enabling low-latency visualization and decision support.
The Challenge
Multiple Video Standards
Medical systems must connect cameras, monitors, and equipment using diverse video interfaces and protocols.
Why FPGA
Flexible Video Connectivity
FPGAs connect using multiple video standards including MIPI, HDMI, SDI, and DisplayPort.
Why Altera
Video & Vision Processing Suite
Comprehensive IP for image quality, feature extraction, connectivity, and compression in medical devices.
Agilex 5 for Video Processing
Efficient video processing capabilities purpose-built for medical imaging pipelines.
FPGA AI Suite for Medical Edge AI
Deploy AI models directly into existing video-processing pipelines in the OR.
Comprehensive Video connectivity and video transport IP
Ultra low-latency IPs such as HDMI, SDI, DP 2.0 as well as solutions for AVoIP like H.265 and IPMX.
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More Medical Applications
Diagnostic Imaging
Accelerate medical imaging with high-speed signal processing, image reconstruction, and real-time analysis for MRI, CT, PET, and other advanced diagnostic systems.
Clinical Systems
Support intelligent clinical equipment with reliable data processing, adaptable connectivity, and efficient performance for patient monitoring, respiratory systems, and medical devices.
Genomics and Laboratory
Accelerate genomic data processing, laboratory automation, and high-throughput analysis with flexible FPGA architectures designed for demanding computational workloads.
Common Questions
Altera FPGAs process high-resolution video in hardware, combining image enhancement, feature extraction and connectivity. These functions support endoscopes, medical cameras and visualization equipment, where the processing path must handle live image streams with low latency.
Noise reduction, HDR, sharpening, color correction and scaling are identified for FPGA medical video processing. These functions complement camera ISP and analytics, allowing engineers to build configurable image-quality pipelines rather than use a single fixed processing path. Explore medical image enhancement FPGA IP
FPGA AI Suite supports selected AI models alongside existing image-processing functions. Object detection, analytics and visualization overlays are application examples, with AI processing integrated into the video path rather than replacing sensor capture, ISP or display connectivity. Explore FPGA AI tools for video analysis
MIPI, HDMI, SDI and DisplayPort are identified as connectivity options for medical video platforms. FPGA logic can combine these interfaces with ISP and video-processing IP, connecting sensor capture to downstream processing and display functions within an adaptable architecture.
FPGA reconfiguration allows imaging algorithms and video functions to be updated as requirements evolve. This supports changes to enhancement and analysis pipelines on the same programmable platform, while the resulting implementation remains subject to the medical device’s design and validation requirements.