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

项目总结 这个U24项目将帮助传播FireVoxel，这是一个免费提供的、用户友好的处理软件包 并从动态MRI、CT和PET图像中提取定量信息。这个软件会有帮助的 放射学家、肿瘤学家和生物医学研究人员更好地利用已获得的数据。我们的重点是 动态成像和模型拟合。该软件是由一个科学家团队在过去15年里开发的 在纽约大学医学院忙碌的放射学实践的背景下。它是一个成熟的产品，具有充分的 功能工作流程，远远超出原则证明阶段。它包含用于图像统计的大量工具 (放射组学)、分割、配准、运动校正和建模。FireVoxel已用于 大约300项已发表的研究。目前，全球约有1000名用户正在帮助 验证和改进方案。需要三年的时间来开发一份全面的文档和 组建自动建测系统，确保工业质量水平得到广泛推广。 我们将建立一个全面的临床代表性病例数据库和相应的指标，以 消除软件缺陷，并确保在每个新软件版本后输出一致。的托管人 示例案例将得到相关教程、基于云的文档和用户指南的补充。这些 增加的功能将使该软件对广泛的用户群具有吸引力。我们还将扩展FireVoxel的功能以 包括三种新的、全自动的测量：(A)可靠的动脉输入功能(AIF)，用于动态... 增强MRI建模；(B)无AIF的单肾功能(肾小球滤过率)；以及(C)T1rho参数 映射。

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.