# Core Laboratory for Advanced Cancer Image Analysis > **NIH NIH R50** · UNIVERSITY OF WASHINGTON · 2024 · $282,766 ## Abstract 1 ABSTRACT: The goal of this proposal is to provide technically-advanced support for the specific aims of 2 selected NCI-funded projects for medical imaging affiliated with the University of Washington (UW), The 3 University of Pennsylvania, the NCI Quantitative Imaging Network (QIN), and the NCTN ECOG-ACRIN 4 cooperative group. My medical imaging career began at UW in 1985, where I was fortunate to work with Drs. 5 Michael Graham and Alex Spence, who laid the foundation for quantitative analysis in oncology. My early work 6 in PET imaging revolved around managing animal imaging projects, a full biochemistry lab and a nascent 7 human PET imaging program. As PET imaging developed under NCI grant P01-CA042045 (PI; Krohn, KA), 8 we transitioned to human imaging and clinical trials research, probing various biochemical pathways using 9 many PET tracers. I developed avidity for kinetic modeling of dynamic PET image data, initially with Drs. 10 James Bassingwaithe and Michael Graham, and later in collaboration with Drs. Tony Shields, David Mankoff, 11 Janet Eary, Hannah Linden and Paul Kinahan, all of them funded by NCI grants. As an NCI R50 recipient 12 (R50-CA270211), I am currently Director of a Core Laboratory for Advanced image analysis and a member of 13 Dr. Kinahan’s U24 (U24-CA264044) CIRP team. I have responsibility for participating in working groups of the 14 QIN, CIRP, planning PET imaging projects, imaging protocols and designing novel data analysis methods. I 15 am a senior contributor to our UW program as well as a provider of innovative approaches to quantitative 16 image analysis and data simulations for numerous cancer imaging projects. Due to the cost of imaging, 17 radiation dose and other issues, my personal ambition is to extract as much quantitative information as 18 possible from well-designed and executed cancer imaging studies. My career goal is to provide independent, 19 but collaborative, support for the specific aims of NCI grants for medical imaging projects at UW, UPenn, the 20 QIN, CIRP and ECOG-ACRIN. Additionally, I have national recognition as manager of the ECOG-ACRIN-UW 21 PET Core Lab, a member of the ECOG-ACRIN Head & Neck, Experimental Imaging, Radiomics, Quantitative 22 Imaging and Brain Tumor Committees, and a key member of the NCI/CIP QIN Working Groups. The innovative 23 protocols I developed for dynamic imaging are a substantial improvement for extracting quantitative information 24 from dynamic PET, and are now a national clinical trials standard. I routinely present my advanced PET 25 imaging results at national and international scientific meetings (EORTC, SNMMI, WMIC, EMIM, IEEE, ECOG- 26 ACRIN and QIN/NCI) and publish/review manuscripts annually. Over the last R50 period I had 26 publications, 27 6 data reports and 40 presentations. In summary, I have developed a nationally recognized advanced lab for 28 image analysis, funded entirely through NCI grants for 35 years. The overall benefit NCI rec... ## Key facts - **NIH application ID:** 10932856 - **Project number:** 5R50CA211270-08 - **Recipient organization:** UNIVERSITY OF WASHINGTON - **Principal Investigator:** Mark Muzi - **Activity code:** R50 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2024 - **Award amount:** $282,766 - **Award type:** 5 - **Project period:** 2017-09-19 → 2027-08-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10932856 ## Citation > US National Institutes of Health, RePORTER application 10932856, Core Laboratory for Advanced Cancer Image Analysis (5R50CA211270-08). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10932856. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*