# Imaging Core

> **NIH NIH P30** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2024 · $151,536

## Abstract

PROJECT SUMMARY
The goal of the Imaging Core is to provide state-of-the-art, customized image acquisition, reconstruction, and
quantitative analysis for pre-clinical (tissue samples and animal models) and clinical (in vivo human)
musculoskeletal research. These will include pre-clinical and clinical: 1) acquisition and reconstruction of
MRI/MRSI, PET, SPECT, CT, DXA, and optical tomography data; 2) spatial registration of multi-modality
images; 3) extraction of quantitative information concerning biologically relevant image parameters; and 4)
evaluation of the relationships of these imaging-derived parameters to biochemistry, histology, biomechanics,
and physiology of biological systems interacting with the musculoskeletal system. Many of these procedures
are novel and require specialized knowledge of imaging physics, mathematics, and computer science.
Investigators linked to the Imaging Core have extensive experience in these imaging and quantitative analysis
techniques and will work closely with CCMBM investigators to match and/or develop the best imaging and data
processing methods to their specific research questions.
Innovation and Service: Goal is to provide unique tools utilizing novel image acquisition and image processing
technologies to support and accelerate research and investigation of musculoskeletal biology and diseases.
Aim 1: To develop, maintain, and support state-of-the-art quantitative image acquisition and reconstruction
methods for pre-clinical and human musculoskeletal tissues.
Aim 2: To develop novel image processing and quantitative analysis techniques, implement robust measures
for clinical grading of musculoskeletal images, provide software packages for post-processing, visualization,
and quantitative analysis of images, and to provide templates and training to improve access to analysis tools.
Aim 3: To provide interpretation of imaging data from single and serial imaging examinations, and assess links
to the extracted biochemical, histological, and biomechanical measures, and the relevant clinical or
experimental endpoints.
Education and Dissemination: Goal will be to promote development and adoption of state-of- the-art imaging
methodology in musculoskeletal research.
Aim 4: To enable efficient CCMBM member access to clinical and research imaging services, as well as
resources to support computational analysis of imaging data, by providing web portal access to detailed
descriptions for resources and services, current contact details, and process information.
Aim 5: To perform proactive outreach to attract new users and to provide imaging seminars, workshops, and
facilities tours that will introduce new imaging tools and new image processing capabilities to the CCMBM
community, with particular focus on supporting early-stage investigators.

## Key facts

- **NIH application ID:** 10843660
- **Project number:** 2P30AR075055-06
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** GALATEIA J KAZAKIA
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $151,536
- **Award type:** 2
- **Project period:** 2019-07-15 → 2029-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10843660

## Citation

> US National Institutes of Health, RePORTER application 10843660, Imaging Core (2P30AR075055-06). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10843660. Licensed CC0.

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