SBIR/STTR Research Award

Ultraportable Stroke CT Based on Stationary Carbon Nanotube X-ray Source and Deep Learning Image Formation

Award identifier 0af519199b5f801e24fc6f61503587b16ab9f50574e4b75a33d00bc0bf3047cfAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$225,052

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ImagingX Inc.
Proposal award date
2019-09-30
Contract end date
2020-08-31
UEI
G3GDWBFAV2G1
Solicitation number
PA18-574
Topic code
999

Research abstract

PROJECT SUMMARY The goal of thismonth SBIR phaseproject is developing an imaging device that will enable highly efficient and cost effective stroke imaging for patients suffered trauma eventsThe expected technical outcome will be a proof of concept head CT imaging system with subsecond imaging speedsub mSv radiation doseand high quality imagesImaging systems with such capabilities will address the current deficiency in timely diagnosis of stroke patientsand benefit society with higher efficiency and lower costSuch imaging device will make a strong economic impact on the global head CT imaging marketwhich is estimated to be about $billion in the U SIn a longer termthe novel imaging technology could be translated into markets for security screeningindustry inspectionand dental imagingThis project is based on the recent research results by DrCaoandapos s team under the support of an NSF CAREER awardPI DrCao$and a DrCaoandapos s Commonwealth Research Commercialization FundCRCFawardTitleComputed Tomography Without Moving Parts for Fast and Portable Biomedical Imaging$The project has a strong footing in intellectual propertyThe technology is protected by a few patent applications at the Virginia Techincluding USUltrafast Micro CT for Imaging Free Moving AnimalsInventorGuohua Caoand PCT USand USSystem and Method of Stationary Source Computed TomographyInventorGuohua CaoetalIn this projectthe team will design and build a proof of concept head CT platform to test the feasibility of ultraportable and compact head CT based on the stationary carbon nanotube x ray source design and deep learning image reconstruction algorithmThe expected outcomes from this project include demonstration of the feasibility for ultrafastlow doseand diagnostic imaging capabilities for intracerebral hemorrhage in head phantomsICHwith potential automatic ICH identification through deep learning algorithmA ready toprototype head CT device will be optimized and designedand a corresponding business plan will be developed PROJECT NARRATIVE Stroke is a common of death in the world at tremendous social and healthcare costsCurrently head CT is typically used for initial evaluation of stroke patients for signs of intracerebral hemorrhageAn ultraportable stroke CT that can be mounted in a small minivan would significantly shorten the time it takes for the diagnosis of intracerebral hemorrhageparticularly from trauma incidentsThis technology will save life and overall healthcare costs

Technology keywords

Not reported

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Agency intelligence

Department of Health and Human Services

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