MICSI provides an AI software suite, MICSI-RMT, that enhances diffusion and functional MRI image quality through a patented MP-PCA algorithm, which effectively reduces noise while preserving anatomical integrity. This technology enables higher resolution imaging with fewer scans, improving diagnostic accuracy and accessibility in clinical settings.
Funding
Funding not disclosed
Founders
Product
Problem
Diffusion and functional MRI (fMRI) image quality is often compromised by noise, which can obscure anatomical details and reduce diagnostic accuracy. Traditional methods to mitigate noise may require longer scan times or result in a loss of spatial resolution.
Solution
MICSI-RMT is an AI-powered software suite designed to enhance the quality of diffusion and functional MRI images. At the core of the suite is a patented MP-PCA algorithm that reduces noise by leveraging redundancy in MRI measurements while preserving anatomical integrity. The software also incorporates processing modules that support weighted linear least squares and Bayesian fitting techniques to facilitate quantitative analysis of diffusion-weighted imaging. MICSI-RMT features DICOM data routing, ensuring secure and seamless integration into existing medical workflows. By reducing noise and increasing sensitivity, MICSI-RMT enables higher resolution imaging with fewer images, improving diagnostic accuracy and accessibility, and potentially extending the lifecycle of older MRI systems.
Target Audience
The primary target audience includes radiologists, neurologists, and medical professionals who utilize diffusion and functional MRI for diagnostic purposes, as well as hospitals and imaging centers seeking to improve image quality and workflow efficiency.
Features
- Patented MP-PCA algorithm for effective noise reduction in diffusion and functional MRI
- Supports higher resolution imaging with fewer scans, increasing image throughput
- Compatible with older 1.5T and 3.0T MRI systems, extending their lifecycle
- Processing modules for weighted linear least squares and Bayesian fitting techniques
- Secure DICOM data routing for seamless integration into medical workflows
- Reduces noise floor by up to 5.8x, improving the precision of prostate ADC measurements
- Increases sensitivity of standard MRI protocols, maintaining diagnostic sensitivity with fewer images