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

基本信息

批准号：
10256654
负责人：
HENRY RUSINEK
金额：
$ 36.03万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-24 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10256654
关键词：
Abdomen Adoption Affect Algorithms Area Arteries Biochemical Blood Blood Vessels Cancer Control Cardiac Output Cartilage Cessation of life Clinical Complement Complex Computer software Country Cryosurgery Data Defect Degenerative polyarthritis Diagnosis Documentation Gadolinium Glomerular Filtration Rate Goals Guidelines Image Image Analysis Imaging Device Industrialization Kidney Local Therapy Magnetic Resonance Imaging Measurement Measures Medical Imaging Meta-Analysis Methodology Methods Modality Modeling Modernization Monte Carlo Method Morphologic artifacts Morphology Motion Muscle Musculoskeletal Needs Assessment Nephrectomy Oncologist Organ Orthopedics Outcome Output Patients Positron-Emission Tomography Prediction of Response to Therapy Process Publishing Radiology Specialty Relaxation Renal Cell Carcinoma Renal carcinoma Renal function Research Research Personnel Resected Sampling Scientist Signal Transduction Surgeon System Testing Tissues United States Urologic Surgeon Urologist Work X-Ray Computed Tomography base cancer biomarkers cancer therapy cartilage degradation clinical database cloud based contrast enhanced feeding heart function improved medical schools novel predicting response preservation program dissemination programs quality assurance radiologist radiomics repository response single photon emission computed tomography skeletal statistics tool treatment choice tumor usability user friendly software

项目摘要

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.

项目摘要这个U24项目将有助于传播FireVoxel，这是一个可以自由使用的用户友好软件包来处理的并提取定量信息构成动态MRI，CT和PET图像。该软件将有所帮助放射科医生，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。该软件是由科学家团队开发的，过去15个在纽约大学医学院繁忙的放射学实践的背景下。这是一个成熟的产品，完全功能性工作流程，远远超出了原始阶段。它包含大量图像统计工具（放射线学），分割，核心验证，运动校正和建模。 FireVoxel已经在大约300项已发表的研究。全球大约有1000名用户目前正在帮助验证和改进程序。需要三年来制定全面的文件和将自动构建测试系统汇总在一起，以确保广泛传播所需的工业质量水平。我们将实施一个临床代表性案例和相应指标的全面数据库消除软件缺陷并确保每个新软件版本后一致的输出。存托样本案例将由相关教程，基于云的文档和用户指南补充。这些添加将使该软件对广泛的用户群有吸引力。我们还将将FireVoxel的功能扩展到包括三个新颖的全自动测量：（a）可靠的动脉输入函数（AIF）用于动态 - 对比度MRI建模；（b）无AIF单基因函数（肾小球滤过率）；（c）t1rho参数映射。