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Advanced Software for MRI, PET, SPECT and CT Image Analysis

Advanced Software for MRI, PET, SPECT and CT Image Analysis
用于 MRI、PET、SPECT 和 CT 图像分析的高级软件
批准号:
10256654
负责人:
HENRY RUSINEK
金额:
$36.03万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-24 至 2023-06-30

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中文摘要
翻译
项目概要 这个 U24 项目将帮助传播 FireVoxel,这是一个免费提供的、用户友好的软件包来处理 并从动态 MRI、CT 和 PET 图像中提取定量信息。该软件将提供帮助 放射科医生、肿瘤学家和生物医学研究人员可以更好地利用获得的数据。我们的重点是 动态成像和模型拟合。该软件是由一组科学家在过去 15 年里开发的 在纽约大学医学院繁忙的放射学实践中度过了数年。是一款成熟的产品,具有完全的 功能工作流程,远远超出了原理验证阶段。它包含广泛的图像统计工具 (放射组学)、分割、配准、运动校正和建模。 FireVoxel 已被用于 大约 300 项已发表的研究。目前全球约有 1000 名用户正在帮助 验证并改进该计划。需要三年时间来制定全面的文件和 建立一个自动构建测试系统,以确保广泛传播所需的工业质量水平。 我们将建立一个包含临床代表性病例和相应指标的综合数据库,以 消除软件缺陷并确保每个新软件版本后输出的一致性。保管人 示例案例将辅以相关教程、基于云的文档和用户指南。这些 添加内容将使该软件对广泛的用户群具有吸引力。我们还将 FireVoxel 的功能扩展到 包括三种新颖的全自动措施:(a)可靠的动脉输入功能(AIF),用于动态- 对比 MRI 建模; (b) 无 AIF 的单肾功能(肾小球滤过率); (c) T1rho 参数 映射。
英文摘要
PROJECT SUMMARY This U24 project will help disseminate FireVoxel, a freely available, user-friendly software package to process and extract quantitative information form dynamic MRI, CT and PET images. The software will help radiologists, oncologist and biomedical researchers to make better use of acquired data. Our emphasis is on dynamic imaging and model fitting. The software has been developed by a team of scientists over the past 15 years in the context of a busy radiology practice at NYU School of Medicine. It is a mature product, with fully functional workflows, well beyond the proof-of-principle stage. It contains extensive tools for image statistics (radiomics), segmentation, coregistration, motion correction and modeling. FireVoxel has been already used in approximately 300 published studies. Approximately 1000 users across the globe are currently helping to validate and improve the program. Three years are needed to develop a comprehensive documentation and put together an automatic build-test system to assure industrial quality level needed for a wide dissemination. We will implement a comprehensive database of clinically representative cases and corresponding metrics to eliminate software defects and assure consistent output after each new software version. The depository of sample cases will be complemented by relevant tutorials, cloud-based documentation and user guides. These additions will make the software attractive to a broad user base. We will also extend FireVoxel's capabilities to include three novel, fully automatic measures: (a) a reliable arterial input function (AIF) for the use in dynamic- contrast MRI modeling; (b) AIF-free single-kidney function (glomerulal filtraction rate); and (c) T1rho parametric mapping.
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