Meetings of the Eastern North American Region of the International Biometric Society (a.k.a. "ENAR meetings") are held in late March or early April each year and reflect the broad interests of the Society, including both quantitative techniques and application areas. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations.
The Joint Statistical Meetings, known simply as "JSM", is the largest gathering of statisticians held annually in North American. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations. Our students often receive top awards and participate in the affiliated career marketplace at the event.
A115 Crabtree Hall
Visit publichealth.pitt.edu/calendar or publichealth.pitt.edu/biostatistics-seminars for details.
Biostatistics 2016 Spring Seminar Speaker Series presents
2/25/2016RUSSELL (TAKI) SHINOHARA, PHD Assistant Professor of Biostatistics in Department of Biostatistics and Epidemiology University of Pennsylvania, Perelman School of Medicine
"DEVELOPING TISSUE DAMAGE AND REPAIR BIOMARKERS FROM CONVENTIONAL MAGNETIC RESONANCE NEUROIMAGING"
While conventional magnetic resonance imaging (MRI) is measured in arbitrary intensity units, much work has centered on the development of normalization procedures. In this talk, we propose a simple, fast, and robust statistical normalization method which does not require prior segmentation of a reference tissue. This technique allows us to measure changes across the brain using conventional MRI in interpretable statistical units, providing a promising new tool for large multi-center studies and clinical practice in which conventional MRI are used routinely. We then propose methods for the identification of multiple sclerosis (MS) white matter lesions both cross-sectionally and longitudinally at the population level using these statistically normalized images which are now quantitative. Finally, we examine the prospect of quantifying disease activity and tissue damage using our statistical quantitative MRI, derived solely from widely available conventional MRI, compared to contrast-enhanced and advanced quantitative MRI modalities. Our preliminary results indicate that statistical quantitative MRI is significantly less costly, less invasive, and yet may provide more precise and sensitive biomarkers for disease-related changes in MS on MRI.
Document: Seminar Flyer - Taki Shinohara.pdf
Last Updated On Monday, March 21, 2016 by GSPH Webmaster
Created On Monday, March 21, 2016
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