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

> **NIH NIH U24** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2020 · $370,785

## Abstract

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.

## Key facts

- **NIH application ID:** 10023184
- **Project number:** 5U24EB028980-02
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** HENRY RUSINEK
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $370,785
- **Award type:** 5
- **Project period:** 2019-09-24 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10023184

## Citation

> US National Institutes of Health, RePORTER application 10023184, Advanced Software for MRI, PET, SPECT and CT Image Analysis (5U24EB028980-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10023184. Licensed CC0.

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