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.

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Jiao, Jing; Ishikawa, Tomo-O; Dumlao, Darren S et al. (2014) Targeted deletion and lipidomic analysis identify epithelial cell COX-2 as a major driver of chemically induced skin cancer. Mol Cancer Res 12:1677-88
Jiao, Jing; Mikulec, Carol; Ishikawa, Tomo-o et al. (2014) Cell-type-specific roles for COX-2 in UVB-induced skin cancer. Carcinogenesis 35:1310-9
Shurell, Elizabeth; Tran, Linh M; Nakashima, Jonathan et al. (2014) Gender dimorphism and age of onset in malignant peripheral nerve sheath tumor preclinical models and human patients. BMC Cancer 14:827
Mongini, Patricia K A; Kramer, Jill M; Ishikawa, Tomo-O et al. (2014) Candidate chromosome 1 disease susceptibility genes for Sjogren's syndrome xerostomia are narrowed by novel NOD.B10 congenic mice. Clin Immunol 153:79-90
Wilks, Moses Q; Knowles, Scott M; Wu, Anna M et al. (2014) Improved modeling of in vivo kinetics of slowly diffusing radiotracers for tumor imaging. J Nucl Med 55:1539-44
Schwarzenberg, Johannes; Czernin, Johannes; Cloughesy, Timothy F et al. (2014) Treatment response evaluation using 18F-FDOPA PET in patients with recurrent malignant glioma on bevacizumab therapy. Clin Cancer Res 20:3550-9
Wardak, Mirwais; Schiepers, Christiaan; Cloughesy, Timothy F et al. (2014) ¹?F-FLT ???and ¹?F-FDOPA PET kinetics in recurrent brain tumors. Eur J Nucl Med Mol Imaging 41:1199-209
Nathanson, David A; Armijo, Amanda L; Tom, Michelle et al. (2014) Co-targeting of convergent nucleotide biosynthetic pathways for leukemia eradication. J Exp Med 211:473-86
Hirata, Kenji; Kobayashi, Kentaro; Wong, Koon-Pong et al. (2014) A semi-automated technique determining the liver standardized uptake value reference for tumor delineation in FDG PET-CT. PLoS One 9:e105682
Escuin-Ordinas, Helena; Atefi, Mohammad; Fu, Yong et al. (2014) COX-2 inhibition prevents the appearance of cutaneous squamous cell carcinomas accelerated by BRAF inhibitors. Mol Oncol 8:250-60

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