QUANTITATIVE IMAGE ANALYSIS SPECIALIZED RESOURCE (DIRECTOR. HENRY HUANG, PH.D). D.3.1. Introduction: The Quantitative Image Analysis Specialized Resource is a continuing Specialized Resource. The QIASR provides essential image management and image analysis support to investigators using molecular imaging at UCLA. As imaging technologies advance rapidly and image analysis becomes increasingly sophisticated it is difficult and costly, if not impossible, for individual investigators to maintain their own image analysis capability. This Specialized Resource has been a key component of the nuclear medicine program at UCLA since late 1970's, and has been part of the ICMIC program since its inception. Recognizing the need for newer and improved computational capability to handle the huge volume growth of small animal imaging studies, and to serve an ever-increasing number of investigators, this resource has devoted a major effort to build the computational infrastructure in the past several years to facilitate the image management and image analysis services. The successful development of the Internet-based kinetic imaging system (KIS) (Huang et al. 2005b) for simulation and analysis of mouse PET images and a computer portal system for molecular imaging data access system (MIDAS) (Truong et al. 2008) are examples of these efforts.. The functions, capabilities, and features of these systems will be described in more details below (Section 0.3.3.). We also interact directly with investigators of research projects and staff of the Small Animal Imaging Specialized Resource to assist them in managing their large volumes of image data and in their image analyses. In addition, we work with them to learn more cleariy what services are needed by the investigators, in order to provide better service and to get their feedback. With these computational software infra-structures now in place and a better understanding of the investigators'needs, we believe that we can provide an elevated level of image analysis service to the ICMIC investigators, effectively, efficiently and economically.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA086306-13
Application #
8382212
Study Section
Special Emphasis Panel (ZCA1-SRLB-9)
Project Start
Project End
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
13
Fiscal Year
2012
Total Cost
$35,595
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Graham, Nicholas A; Minasyan, Aspram; Lomova, Anastasia et al. (2017) Recurrent patterns of DNA copy number alterations in tumors reflect metabolic selection pressures. Mol Syst Biol 13:914
Balandeh, Mehrdad; Waldmann, Christopher; Shirazi, Daniela et al. (2017) Electrochemical Fluorination and Radiofluorination of Methyl(phenylthio)acetate Using Tetrabutylammonium Fluoride (TBAF). J Electrochem Soc 164:G99-G103
Waldmann, Christopher M; Lebedev, Artem; Allison, Nathaniel et al. (2017) An automated synthesizer for electrochemical 18F-fluorination of organic compounds. Appl Radiat Isot 127:245-252
Lee, Jason T; Zhang, Hanwen; Moroz, Maxim A et al. (2017) Comparative Analysis of Human Nucleoside Kinase-Based Reporter Systems for PET Imaging. Mol Imaging Biol 19:100-108
Barrio, Martin; Czernin, Johannes; Yeh, Michael W et al. (2016) The incidence of thyroid cancer in focal hypermetabolic thyroid lesions: an 18F-FDG PET/CT study in more than 6000 patients. Nucl Med Commun 37:1290-1296
Tavaré, Richard; Escuin-Ordinas, Helena; Mok, Stephen et al. (2016) An Effective Immuno-PET Imaging Method to Monitor CD8-Dependent Responses to Immunotherapy. Cancer Res 76:73-82
Kirkby, Nicholas S; Chan, Melissa V; Zaiss, Anne K et al. (2016) Systematic study of constitutive cyclooxygenase-2 expression: Role of NF-?B and NFAT transcriptional pathways. Proc Natl Acad Sci U S A 113:434-9
Kim, Woosuk; Le, Thuc M; Wei, Liu et al. (2016) [18F]CFA as a clinically translatable probe for PET imaging of deoxycytidine kinase activity. Proc Natl Acad Sci U S A 113:4027-32
Faltermeier, Claire M; Drake, Justin M; Clark, Peter M et al. (2016) Functional screen identifies kinases driving prostate cancer visceral and bone metastasis. Proc Natl Acad Sci U S A 113:E172-81
Clark, Peter M; Mai, Wilson X; Cloughesy, Timothy F et al. (2016) Emerging Approaches for Targeting Metabolic Vulnerabilities in Malignant Glioma. Curr Neurol Neurosci Rep 16:17

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