MATLAB and Simulink for Medical Imaging

Design, develop, and test medical imaging algorithms and devices

• Prototype and implement high-performance image formation and reconstruction techniques
• Create image processing algorithms for computer vision, radiomics, and computer-aided diagnosis
• Train and validate explainable artificial intelligence (AI) and deep learning models
• Deploy and share medical imaging applications in the cloud
• Design and simulate antennas, arrays, power systems, and control systems for medical imaging devices

Topics

• Image Formation and Reconstruction
• Advanced Algorithms
• AI-Based Applications
• Cloud-Based Applications
• Medical Imaging Devices

“Simulink helps system architects and hardware designers communicate. It is like a shared language that enables us to exchange knowledge, ideas, and designs. Simulink and HDL Coder enable us to focus on developing our algorithms and refining our design via simulation, not on checking VHDL syntax and coding rules.”

Marcel van Bakel, Philips Healthcare

Streamline Image Formation and Analysis

MATLAB and Simulink enable rapid prototyping and implementation of advanced algorithms for image formation, reconstruction, and analysis. The products let you create high-quality medical images from raw data such as k-space (MRI), RF signals (ultrasound), and projection rays (CT). You can verify, validate, and deploy these algorithms in embedded hardware and cloud environments, making it possible to realize medical device certification workflows for deep learning, machine learning, and reconstruction algorithms. You can get to market faster with product enhancements while incorporating advanced designs and compliance into your algorithms.