Quantitative Imaging Analysis Program Cedars Sinai

Quantitative Imaging Analysis Program Cedars Sinai

Quantitative Imaging Analysis Program Cedars-Sinai Skip to content Close Select your preferred language English عربى 简体中文 繁體中文 فارسي עִברִית 日本語 한국어 Русский Español Tagalog English English عربى 简体中文 繁體中文 فارسي עִברִית 日本語 한국어 Русский Español Tagalog Translation is unavailable for Internet Explorer Cedars-Sinai Home 1-800-CEDARS-1 1-800-CEDARS-1 Close Find a Doctor Locations Programs & Services Health Library Patient & Visitors Community My CS-Link RESEARCH clear Go Close Navigation Links Academics Faculty Development Community Engagement Calendar Research Research Areas Research Labs Departments & Institutes Find Clinical Trials Research Cores Research Administration Basic Science Research Clinical & Translational Research Center (CTRC) Technology & Innovations News & Breakthroughs Education Graduate Medical Education Continuing Medical Education Graduate School of Biomedical Sciences Professional Training Programs Medical Students Campus Life Office of the Dean Simulation Center Medical Library Program in the History of Medicine About Us All Education Programs Departments & Institutes Faculty Directory Biomedical Imaging Research Institute Back to Biomedical Imaging Research Institute About Us Research Abdominal Computerized Tomography Research Breast Cancer Metabolism Research Cancer Molecular Imaging Research Lung Imaging Research MRI Hardware Engineering Program Neuroimaging Research Neurovascular Imaging Research Oncologic Radiation Therapy Imaging Research Quantitative Imaging Analysis Program Skeletal Regeneration and Stem Cell Therapy Imaging Research Translational Cardiac Imaging Research Team News Events Key Collaborations BIRI Membership Volunteer For a Research Study Quantitative Imaging Analysis Program Mission The Quantitative Imaging Analysis Program provides comprehensive services for research, pre-clinical and clinical imaging studies, including protocol development, image acquisition consulting, quality control, image analysis, statistical analysis, visualization and result reporting. Briefly, our mission is to: Provide image-based quantitative analysis services for both clinical and research studies, using advanced computer-aided methods Promote intra- and inter-departmental multidisciplinary research collaborations Develop novel machine learning techniques for image analysis, to recognize and characterize normal and abnormal regions of the heart, brain and other organs Enhance and quantify the information derived from complex multidimensional cardiac images Faculty Damini Dey, PhD Piotr Slomka, PhD Feng Shi, PhD Focus One focus of research in the Quantitative Imaging Analysis Program is to measure the myocardial blood flow (MBF) of first-pass perfusion at magnetic resonance imaging. Unlike conventional qualitative and semiquantitative methods, our approach generates fully quantitative measurements by using Fermi function deconvolution to determine the absolute myocardial perfusion value. Meanwhile, a dual-resolution perfusion sequence is employed to provide accurate assessment of arterial input function, which is essential in absolute MBF quantification. Another research focus is on brain image analysis. We provide services on brain structural and functional image processing, statistical analysis and visualization. Briefly, we are working on structural, functional and diffusion MR images on the following topics: tissue segmentation, spatial normalization, brain labeling, cortical surface analysis, voxel-based morphometry, resting- and task-state functional connectivity, diffusion-tract-based spatial statistics, fiber tractography, brain connectome, and computer-aided disease diagnosis and prediction. Additionally, our research emphasis is on: Automated derivation of imaging measures from noninvasive cardiac images Clinical implementation of novel automated computer processing algorithms Machine learning integration of imaging biomarkers to predict risk Working environment of cardiac image processing for scar signal quantification. Collaborative Research The Quantitative Imaging Analysis Program brings together a team of scientists, biomedical engineers, neurologists and psychiatrists, as well as developing collaborations with other specialty areas. The research also involves collaborations with other institutions, including UCLA. Internal Collaborations Daniel S. Berman, MD Piotr Slomka, PhD Collaborative Research Publications Quantitative Imaging Analysis Program Publications Have Questions or Need Help If you have questions or would like to learn more about the Biomedical Imaging Research Institute at Cedars-Sinai, please call or send us a message. Biomedical Imaging Research Institute Pacific Theatres Building, Suite 400 116 N. Robertson Blvd. Los Angeles, CA 90048 310-423-7766 Fax:310-248-8682 Send A Message TWITTER FACEBOOK Please ensure Javascript is enabled for purposes of website accessibility
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