SBIR Phase II: 4D scanner for image guided interventions
SBIR Phase II: 4D scanner for image guided interventions
批准号:
1456352
负责人:
Cristian Atria
金额:
$75.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-15 至 2020-09-30
中文摘要
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英文摘要
The broader impact/commercial potential of this project is the significant improvement ofsurgical accuracy, which will dramatically reduce surgical errors, improve outcomes andreduce healthcare costs. In spine surgery alone, there are more than 500,000procedures every year in the US utilizing implants such as screws. In 4% to 11% ofthese surgeries, the implant placement is inaccurate. For the patient this translates intolonger recoveries - from days to weeks - and in many cases into a second revisionsurgery. The patient is non-productive, unable to carry out their daily routines for weeks,while the healthcare system has to absorb the costs of the longer recovery as well asthe revision surgeries. For both the healthcare and economic systems these areavoidable costs. The medical imaging technology being developed in this project hasthe potential to eliminate surgical inaccuracies across the $2.4B market of imageguidance, improving clinical applications that range from orthopedic surgery to minimallyinvasive vascular interventions, to cancer diagnosis and treatments.This Small Business Innovation Research (SBIR) Phase 2 project will demonstrate anovel imaging modality, which provides near-real-time 3D live imaging - 4D - duringsurgery. This novel system will provide surgical imaging at a lower x-ray dose thanfluoroscopy (current standard), with a geometry that allows concurrent imaging withsurgery. This 4D technology has the potential to significantly reduce surgicalinaccuracies, improve outcomes and reduce costs. Phase 1 successfully demonstratedthe feasibility of the reconstruction algorithm used by the proposed imaging modality byshowing its potential of higher surgical accuracy in a single spinal screw insertion. ThisPhase 2 project will I) prove the robustness of the reconstruction algorithm across avariety of use-cases, II) demonstrate the clinical usability of the 4D scanner, and III)confirm the clinical utility of the scanner. The clinical usability will be studied with anergonomic model in a surgical setting. The clinical utility will be proven by building asystem prototype and performing image quality and x-ray dose comparisons versusfluoroscopy and 3D in a realistic surgical setting. Preliminary results show that theseobjectives are achievable. This research is readying the technology for clinical research,regulatory clearance and commercialization.
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SBIR Phase I: Artificial Intelligence (AI) Enabled 3-Dimensional (3D) Imaging for COVID-19
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批准号:2036690
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项目类别:Standard Grant
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资助金额:$25.6万
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财政年份:2021
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负责人:Cristian Atria
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依托单位:
SBIR Phase I: 4D reconstruction algorithm for image guided interventions
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批准号:1345401
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项目类别:Standard Grant
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资助金额:$15.0万
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财政年份:2014
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负责人:Cristian Atria
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依托单位:
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