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MRI brain morphometry for computer-aided detection of neurological disorders

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 1R44NS089090-01A1
Agency Tracking Number: R44NS089090
Amount: $218,641.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 108
Solicitation Number: PA14-072
Timeline
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-09-15
Award End Date (Contract End Date): 2016-08-31
Small Business Information
6 Admirals Way # 4
Chelsea, MA 02150-4059
United States
DUNS: 078509164
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 NICHOLAS SCHMANSKY
 (617) 959-1896
 nicks@nmr.mgh.harvard.edu
Business Contact
 NICHOLAS SCHMANSKY
Phone: (617) 959-1896
Email: nicks@corticometrics.com
Research Institution
N/A
Abstract

DESCRIPTION provided by applicant The technology that is routinely available to neuroradiologists is years or decades behind that which is used in imaging research throughout the world Current clinical decision making in neuroradiology is based on information that is insufficient for detecting the subtle changes that presage clinically significant conditions such a a growing tumor enlarging ventricle or shrinking hippocampus Tools that are regularly used in research are not accessible in the clinic due to a number of factors slow execution speed sensitivity to scanner manufacturer field strength and pulse sequence and lack of FDA clearance In this project we seek to remove these barriers by further developing FreeSurfer the worldandapos s premier automated brain morphometry package to integrate novel deep learning and Random Forest based patch matching image synthesis technology into FreeSurfer to make it robust to variations in scanner platform and acquisition parameters use modern parallel processing to reduce execution time to a clinically feasible length and obtain FDA clearance on the tools allowing them to be routinely used in direct patient care The resulting product would dramatically improve the information that neuroradiologists have access to for patient diagnosis staging and the assessment of the efficacy of therapeutic interventions for disorders including AD tumor hydrocephalus and epilepsy to name a few

PUBLIC HEALTH RELEVANCE The technology that is currently routinely available to neuroradiologists is years or decades behind that which is used in imaging research throughout the world In this proposal we seek to bridge the gap between research and the clinic by developing a clinical utility based on FreeSurfer the worldandapos s leading software package for automated brain morphometry The result will be a tool that dramatically increases the accuracy sensitivity and robustness of cliniciansandapos abilities to diagnose stage and assess treatment efficacy in a wide array of neurologic conditions such as Alzheimerandapos s disease tumor and hydrocephalus to name a few

* Information listed above is at the time of submission. *

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