LG198: The Application of Imaging Analytics in Biomedical Research and Development

Date: 
Friday, August 1, 2014 - 11:30
Speaker: 
Amit Vasanji, Ph.D., Chief Technology Officer – ImageIQ, Inc
Abstract: 
Now, more than ever, researchers are facing pressures to reevaluate how they approach their work. The need to innovate and extract better data in less time using fewer resources has never been greater. As the critical role biomedical imaging plays continues to increase, the requirement for new technologies and methods for extracting quantitative, objective, comprehensive data from images (“Imaging Analytics”) will make or break a new idea’s journey from bench-top to bedside. Imaging Analytics is a new and rapidly growing methodology for extracting quantitative data buried deep within images. What the human eye fails to see or quantify, imaging analytics can measure quickly, objectively and reproducibly by utilizing image processing, analysis and data visualization algorithms custom-tailored to account for tissue type, implant material or resorption, anatomical region-of-interest (ROI), study design, imaging modality, etc. The resulting data is highly quantitative and can be rendered (“visualized”) to facilitate communication of treatment performance or safety. In this seminar, attendees will learn about the powerful impact imaging analytics can have on biomedical research and development. Potential areas of interest may include a comparison of traditional methods of image scoring and imaging analytics, in addition to examples of how imaging analytics can applied to clinical research such as CT and MRI fusion in deep brain stimulation studies, quantitative longitudinal evaluation of orthopedic implant resorption, retinal vasculature measurement in fundus images, ultrasound/laparoscope image fusion to inform minimally invasive surgery, intraoperative OCT imaging analytics, and more. In addition, an overview of quantitative tissue assessment via histological and analysis will be presented along with select preclinical imaging modality cases.