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: 10023184
• 负责人: HENRY RUSINEK
• 金额: $ 37.08万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-24 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10023184
• 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

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.

项目总结