Microstructure Imaging has received US Food and Drug Administration (FDA) 510k clearance for the MICSI-RMT software suite, designed to elevate the quality of MRI images.
MICSI-RMT uses an algorithm based on random matrix theory to enhance MRI image quality by leveraging redundancy within MRI exams.
Unlike conventional artificial intelligence (AI) approaches, the software achieves these outcomes without using external training data or GPUs.
In addition, the suite incorporates processing modules that enable weighted linear least squares and Bayesian fitting techniques.
These modules facilitate quantitative analysis of diffusion-weighted imaging.
Furthermore, MICSI-RMT incorporates advanced DICOM data routing to ensure secure and seamless integration into medical workflows.
The software is said to be the first market solution designed to improve the signal-to-noise ratio (SNR) in diffusion and functional MRI (fMRI).
In a randomised, blinded rater study, neuroradiologists evaluated MRI images processed by MICSI-RMT alongside standard of care (SOC) images.
Microstructure Imaging, a YCombinator-backed company, and an NYU Langone Health spunout, said that MICSI-RMT processed images were consistently preferred for their enhanced clarity and reduced artifacts.
It also resulted in higher expert ratings for image quality compared to standard diagnostic images.
Raters noted that the latest software improved the visualisation of small structures within brain white matter on DTI images. It also enhanced contrast for distinguishing adjacent tissue types.
For fMRI, the suite produced more anatomically accurate activation maps.
Additionally, significant SNR improvements were observed with MICSI-RMT, achieving enhancements of up to 4.35 times for diffusion MRI (dMRI) and 1.9 times for fMRI.
Precise Parametric Mapping was another achievement of MICSI-RMT, particularly in enhancing the precision of apparent diffusion coefficient (ADC) maps by over 56.3%.
According to New York-based Microstructure Imaging, the software’s enhancements improve diagnostic precision and advance neurological care.
It also establishes MICSI-RMT as a vital tool for medical imaging specialists.
