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STTR Phase I: Development and Validation of Noninvasive High-Fidelity Serial Aneurysm Diagnostic Software

STTR Phase I: Development and Validation of Noninvasive High-Fidelity Serial Aneurysm Diagnostic Software
STTR 第一阶段:无创高保真串行动脉瘤诊断软件的开发和验证
批准号:
2014339
负责人:
Ali Bakhshinejad
金额:
$22.5万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-15 至 2021-01-31

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英文摘要
The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to enable accurate and efficient diagnosis of unruptured brain aneurysms. More specifically, it will make it easier for neuroradiologists to diagnose and analyze medical images for patients with unruptured brain aneurysms, as up to 40% are fatal. Unfortunately, complete review of relevant images can take up to 30 minutes. The software will identify regions of interest in images prior to manual review. enabling accelerated diagnosis. This Small Business Innovation Research (SBIR) Phase I project will develop an end-to-end medical image processing software to empower neuroradiologists to better diagnose unruptured brain aneurysms. This project will undertake deep learning using a convolutional neural network to diagnose, monitor, and provide clinical decision support for intracranial aneurysms from MRI or CT scans. This approach will improve noninvasive diagnosis for significant neurological conditions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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