Seminar with Ilker Hacihaliloglu

Speaker:
Ilker Hacihaliloglu, Ph.D.
Assistant Professor
Department of Biomedical Engineering
Rutgers University

Title:
Smart Ultrasound Imaging for Image Guided Interventions and Therapy

Abstract:
Ultrasound (US) is a three-dimensional (3D), real-time and non-ionizing imaging modality used extensively in various fields of medicine. Since there is no clinically reported risk, it is still regarded as the only safe method to image a fetus. However, low signal-to-noise-ratio, manual data collection, and different imaging artifacts not corresponding to any anatomical tissue have prohibited US to become a dominant imaging modality in various image guided surgical and therapy procedures. In this talk, I will present how we overcome these challenges by developing computational methods, based on deep learning. Specifically, applications related to orthopedics, neurosurgery and cancer therapy will be presented.

Biosketch:
Dr. Ilker Hacihaliloglu is an Assistant Professor in the Department of Biomedical Engineering at Rutgers University. He currently directs the Computer Assisted Surgery and Therapy (CompAST, http://compast.rutgers.edu/ ) laboratory at the Rutgers University. The objective of the laboratory is to develop state of the art image guided surgery and therapy systems that incorporate innovative computer and machine interface technologies into surgical procedures. Specifically, the projects involve integration of ultrasound imaging modality into various procedures ranging from neurosurgery to cancer therapy. Prior to joining Rutgers University Dr. Hacihaliloglu was a post-doctoral fellow at the Vancouver General Hospital (Vancouver, BC, Canada) and at the Center for Hip Health and Mobility Institute where he was developing surgical solutions for various orthopedic procedures. His research work on bone surface localization and enhancement from Ultrasound data is one of the most cited works in the orthopedic imaging field.