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

这项小型企业技术转移（STTR）第一阶段项目的更广泛影响和商业潜力是能够准确有效地诊断未破裂的脑动脉瘤。更具体地说，它将使神经放射学家更容易诊断和分析未破裂的脑动脉瘤患者的医学图像，因为高达40%的脑动脉瘤是致命的。不幸的是，完整的相关图像审查可能需要长达30分钟。该软件将在人工审查之前识别图像中感兴趣的区域。加速诊断。这个小企业创新研究（SBIR）第一阶段项目将开发端到端医学图像处理软件，使神经放射科医生能够更好地诊断未破裂的脑动脉瘤。该项目将利用卷积神经网络进行深度学习，通过MRI或CT扫描对颅内动脉瘤进行诊断、监测并提供临床决策支持。这种方法将改善重大神经系统疾病的无创诊断。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.