CorticoMetrics is pleased to offer its FDA 510(k)-cleared product, called THINQ™, indicated for clinical use by neurologists, radiologists and neuroradiologists in the post-acquisition quantitative analysis of MRI brain scans.
CorticoMetrics was formed in 2012 to commercialize neuroimaging analysis software developed at the Massachusetts General Hospital (MGH), known to researchers worldwide as FreeSurfer. It was co-founded by Dr. Bruce Fischl, the Director of the Laboratory for Computational Neuroimaging (home of FreeSurfer) and Mr. Nick Schmansky, formerly the lab’s Lead Software Engineer.
CorticoMetrics is pleased to offer its FDA 510(k)-cleared product, called THINQ™, indicated for clinical use by neurologists, radiologists and neuroradiologists in the post-acquisition quantitative analysis of MRI brain scans.
THINQ™ is AI-based software that automatically segments a T1-weighted MRI brain image, producing a report containing volumetric measurements and visualizations of a number of critical brain structures, and compares these measures to age and gender-matched reference percentile data. The report includes images of the brain with color-coded segmentations, as well as plots showing how measurements compare to reference data.
Additionally, THINQ™ produces three series of DICOM encapsulated JPEG images containing images of the brain segmentation overlaid in a semi-transparent manner on the input T1-weighted MRI data, one series for each of the sagittal, axial and coronal viewing planes. These images allow for the inspection and visualization of the segmented brain structures in a DICOM viewer.
Clinical decision-making in neuroradiology is often based on qualitative assessment of magnetic resonance imaging (MRI) scans of the brain in a number of neurological disorders and conditions, such as epilepsy, dementia, multiple sclerosis, traumatic brain injury, and hydrocephalus, affecting millions of people worldwide. This subjective information does not provide adequate diagnostic value, where a neuroradiologist could greatly benefit from computer-based tools that perform automated quantitative analysis of MRI scan data of the brain.
To support better clinical care of patients with these neurological disorders and conditions, the software applications under development by CorticoMetrics aim to improve the accuracy and sensitivity of the information that radiologists have access to for detection or diagnosis. The foundation of CorticoMetrics’ software technology is FreeSurfer, a high-quality open-source suite of automated neuroimaging tools for brain morphometry, developed at Massachusetts General Hospital (MGH) and in use as a research tool by tens of thousands of brain researchers worldwide.
Through collaborations with MGH clinicians, CorticoMetrics is targeting this technology for their specific needs, aiming to increase the accuracy and efficiency of radiologists and neurologists, reducing false negatives and/or increasing examination throughput and improving the overall quality of patient outcome.
CorticoMetrics develops software applications aiming to improve the accuracy and sensitivity of the information
that radiologists have access to for detection or diagnosis of neurological disorders and conditions such as
dementia, epilepsy, multiple sclerosis, traumatic brain injury, and hydrocephalus, affecting millions of people
worldwide. CorticoMetrics has received $6.5M in SBIR/STTR grant awards from the National Institutes of
Health to fund our efforts. CorticoMetrics is a privately held limited liability company (LLC).
Clinical decision-making in neuroradiology is often based on qualitative assessment of magnetic resonance
imaging (MRI) scans of the brain in a number of neurological disorders and conditions, such as epilepsy,
dementia, multiple sclerosis, traumatic brain injury, and hydrocephalus, affecting millions of people worldwide.
This subjective information does not provide adequate diagnostic value, where a neuroradiologist could greatly
benefit from computer-based tools that perform automated quantitative analysis of MRI scan data of the brain.
THINQ, the product created by CorticoMetrics through NIH SBIR/STTR grants, targets this problem faced by
radiologists and neurologists by quantifying the size of critical brain structures and presenting the measures
alongside normative reference data. This information augments the assessment process by removing the
need to visually determine structure measures (such as Hippocampus, a structure critical to memory). Visual
assessment necessitates an enormous amount of skill and time, varies by radiologist, and may lead to
misinterpretation.