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MOLECULAR IMAGING DATA GRID (MIDG) FOR MULTI-SITE SMALL ANIMAL IMAGING RESEARCH BASED ON OGSA AND IHE XDS-i by Jasper Chung Lee A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (BIOMEDICAL ENGINEERING) May 2011 Copyright 2011 Jasper Chung Lee
|Title||Molecular imaging data grid (MIDG) for multi-site small animal imaging research based on OGSA and IHE XDS-i|
|Author||Lee, Jasper Chung|
|Author email@example.com; Jspr624@gmail.com|
|Degree||Doctor of Philosophy|
|Degree program||Biomedical Engineering (Biomedical Imaging & Telemedicine)|
|School||Viterbi School of Engineering|
|Advisor (committee chair)||
Huang, H. K.
Hsiai, Tzung K.
|Advisor (committee member)||
Yen, Jesse T.
Liu, Brent J.
McNitt-Gray, Jill L.
|Abstract||Molecular imaging is a relatively new field in medical imaging research that has been propagating research discoveries in biology, medicine, disease studies, proteomics, and radiopharmaceutical development, by using in-vivo biomarkers to visualize and quantify cellular and molecular content and activity. Small animal imaging facilities throughout medical research institutions have been growing in number of investigator studies as well image data volume per study. To optimize utilization of pre-clinical molecular imaging data in translational sciences research, a multi-modality Molecular Imaging Data Grid (MIDG) has been designed to address challenges in data archiving, management, and sharing among multi-site or multi-institution research consortiums.; The background, MIDG R&D (research and development), system architecture, data model, and workflows of the Molecular Imaging Data Grid are presented, followed by system evaluations and results discussion. The system design was based on the Open Grid Services Architecture and the Cross-Enterprise Document Sharing for Imaging (XDS-i) integration profile. The current status of the MIDG project is a 3-site implementation within USC, enabling DICOM-compliant data sharing between a molecular imaging facility, a medical imaging informatics lab, and an investigative research lab in the department of Biomedical Engineering. This research presents a system design proposal, methodology, and evaluated results for applying novel grid-based data archiving infrastructures to sharing molecular imaging data in pre-clinical small animal model research communities.|
|Keyword||molecular imaging; data grid; preclinical imaging data archive; Open Grid Services Architecture (OGSA); Cross-Enterprise Document Sharing for Imaging (XDS-i)|
|Part of collection||University of Southern California dissertations and theses|
|Publisher (of the original version)||University of Southern California|
|Place of publication (of the original version)||Los Angeles, California|
|Publisher (of the digital version)||University of Southern California. Libraries|
|Provenance||Electronically uploaded by the author|
|Legacy record ID||usctheses-m3615|
|Rights||Lee, Jasper Chung|
|Repository name||Libraries, University of Southern California|
|Repository address||Los Angeles, California|
|Full text||MOLECULAR IMAGING DATA GRID (MIDG) FOR MULTI-SITE SMALL ANIMAL IMAGING RESEARCH BASED ON OGSA AND IHE XDS-i by Jasper Chung Lee A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (BIOMEDICAL ENGINEERING) May 2011 Copyright 2011 Jasper Chung Lee|