Medical Image Analysis: From Theory to Practice

Wednesday, October 22, 2014 - 17:30
TH 331
Dr. Christoph Guetter, Principal Scientist (Voxeleron, LLC)
Medical image processing and analysis is essential in modern medicine.The information extracted by computational methods is manifold and its application spans image quality improvements, quantification and visualization of functional parameters, the support of image acquisition, as well as the planning and execution of surgery. This talk provides an introduction to medical imaging techniques and its current applications in clinical practice. State of the art computer vision and image processing techniques are used for the robust alignment of complementary data from different modalities for accurate disease progression monitoring and visualization of cardiac function automatic delineation and measurement of healthy anatomy, function and anomalies treatment planning, guidance, and decision support generation of clinical biomarkers for early diagnosis of difficult to cure disease such as multiple sclerosis, alzheimer's, or parkinsons. Medical imaging is an exciting field that bridges theory and practice using computational analysis to save lives, improve patient care, and lower the ever-increasing health-care costs.

Christoph Guetter is a Principal Scientist at Voxeleron, LLC. Prior to March 2014, he served as a Technical Lead, Research Scientist, and Project Manager for Computer Vision Research & Development at Siemens Corporation, Corporate Technology (SCCT) in Princeton, NJ, USA. He received his PhD from the University of Erlangen during his time at Siemens Corporate Research. At SCCT, Christoph led a group of research scientists and software developers in developing award-winning imaging technology and in generating innovative imaging software products. His passion is to advance the state-of-the-art in machine learning and computer vision for the improvement of medical diagnostic accuracy, physician effectiveness, patient safety, and healthcare procedure cost effectiveness.