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. For example, the subtle nature of focal cortical dysplasias (FCDs) makes identification difficult in a visual review, resulting in missed detection. A patient may experience untreatable epileptic seizures if the FCD proves to be drug-resistant; otherwise preventable if the FCD is identified and surgically removed.
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 is also pursuing FDA 510(k) clearance of a software product.
FreeSurfer is born out of The Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital and is the first surface-based neuroimaging analysis tool, revolutionizing the way that researchers can study the human brain in both healthy and disease states.
1st Grant Awarded
Awarded Phase I STTR from NIH-NINDS to create and evaluate a software tool to detect focal cortical dysplasias in MRI images allowing easier visual detection by a neuroradiologist.
Award amount $359,391
Completed NIH CAP
Selected & successfully participated in NIH Commercialization Accelerator Program (CAP)
Dr. Bruce Fischl and Mr. Nick Schmansky formed CorticoMetrics LLC with their sights set on bringing quantitative neuroimaging to clinical settings.
8th Grant Awarded
Awarded Phase II STTR from NIH-NCI to create a software-based system for an MRI scanner to reduce the error in tumor measurement introduced by varying patient head positioning across multiple scan imaging sessions.
Award amount $750,000
OF OUR STORY!
Total NIH STTR/SBIR Awards amount to date: $5.5M