# Core Laboratory for Advanced PET and MRI image analysis

> **NIH NIH R50** · UNIVERSITY OF WASHINGTON · 2020 · $247,208

## Abstract

ABSTRACT: The goal of this proposal is to provide technically-advanced support for the specific aims of NCI-
funded projects for medical imaging affiliated with the University of Washington, the NCI Quantitative Imaging
Network (QIN), and the NCTN ECOG-ACRIN cooperative group. My medical imaging career began at UW in
1985, where I was fortunate to work with Drs. Michael Graham and Alex Spence, who laid the foundation for
quantitative analysis and clinical oncology, respectively. My early work in PET imaging revolved around
managing animal imaging projects, a full biochemistry lab and a nascent human PET glioma imaging program.
As PET imaging developed under the PET Program Project (P01-CA042045, KA Krohn, PI), we transitioned to
human imaging and clinical trials research, probing different biochemical pathways using numerous PET
radiotracers. I developed an avidity for compartmental modeling analysis of kinetic image data, initially with
guidance from Drs. James Bassingwaithe, Michael Graham and Finbarr O'Sullivan, and later in collaboration
with Drs. Tony Shields, David Mankoff, Janet Eary, Hannah Linden and Paul Kinahan, all of them funded by
NCI grants. I am currently Director of the Imaging Core lab and a member of Paul Kinahan's U01 grant. I have
responsibility for participating in the image analysis working groups of the QIN, extended planning of PET
imaging projects, imaging protocols and designing data analysis methods for new experiments. I am a senior
contributor to our overall program as well as a provider of novel approaches to data management, quantitative
image analysis and data simulations for numerous cancer projects in Radiology and Oncology. Due to the cost
of imaging, the radiation dose and other issues, my personal ambition is to extract as much quantitative
information as possible from well-designed and executed cancer imaging studies using PET radiotracers and
advanced MR methods. My career goal is to provide independent, but collaborative, support for the specific
aims of NCI grants for medical imaging projects at with UW, the QIN and ECOG-ACRIN. Additionally, I have
national recognition as manager of the ACRIN-UW PET Core Lab, member of the ECOG-ACRIN Head and
Neck, Experimental Imaging Sciences and Brain Tumor Committees, and a key member of the NIH-Cancer
Imaging Program's QIN Working Groups. The innovative protocols I developed for dynamic imaging are a
substantial improvement for extracting quantitative information from dynamic PET, and are now a national
clinical trials standard. I routinely present my advanced PET imaging results at national and international
scientific meetings (EORTC, SNMMI, WMIC, ACRIN and QIN/NCI) and publish/review manuscripts annually in
medical journals. In summary, I have developed a nationally recognized advanced lab for PET image analysis,
funded entirely through NCI grants for 30 years. The overall benefit NCI receives for sharing my labor across
NCI funded projects will have an impact on ...

## Key facts

- **NIH application ID:** 9999456
- **Project number:** 5R50CA211270-04
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Mark Muzi
- **Activity code:** R50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $247,208
- **Award type:** 5
- **Project period:** 2017-09-19 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9999456

## Citation

> US National Institutes of Health, RePORTER application 9999456, Core Laboratory for Advanced PET and MRI image analysis (5R50CA211270-04). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/9999456. Licensed CC0.

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