Invited Talks from Robotics and Control Laboratory (RCL), University of British Columbia

The Robotics and Control Laboratory (RCL) at the University of British Columbia (UBC), Vancouver, Canada, has been active in research projects involving diagnostic and interventional ultrasound (US) for over a decade. This session of talks will highlight recent US-related research projects performed at RCL under the supervision of Profs. Purang Abolmaesumi and Robert Rohling. The topics covered include: US-based prostate cancer detection, diagnosis, and treatment planning; echocardiography analysis; US image processing for spinal anesthesia; and model-based US guidance for musculoskeletal interventions.

• Speakers: Dr. Alesander Seitel, Mehran Pasteie, Emran Mohammad Abu Anas, Farhad Imani
• Date: Monday, June 22, 2015
• Time: 9:30
• Location: 03.13.010, TUM Informatics

Talk by Alexander Seitel

Title: Ultrasound image processing for diagnosis and guidance – Projects at the Robotics and Control Laboratory, University of British Columbia

Alexander Seitel is a postdoctoral fellow at the Robotics and Control Laboratory, University of British Columbia, Vancouver, Canada. He received his PhD^? degree in Medical Informatics from the German Cancer Research Center (DKFZ) / University of Heidelberg, Germany and holds a Diploma degree in Computer Science from the Karlsruhe Institute of Technology. His research focusses on computer-assisted interventions in particular navigation solutions for percutaneous needle insertions for ablation therapies / biopsies in the abdomen and to guide spinal needle injections for anesthesia where he (co)-authored a total of 80 papers in refereed journals and conferences. At DKFZ he was part of the core development team of the open-source Medical Imaging Interaction Toolkit (MITK), responsible for the design and development of computer-assisted intervention modules.

Talk by Mehran Pesteie

Title: Real-time ultrasound image classification for spine anesthesia.

Mehran Pesteie is a PhD^? student in Electrical and Computer Engineering at the University of British Columbia. He received his bachelor’s and master’s degree in Computer Engineering and Artificial Intelligence from the University of Isfahan, Iran on 2010 and 2013, respectively. He was also the project manager in Applied Image and Signal Processing (AISP) research center at the University of Isfahan between 2011 and 2013. His research is mainly focused on ultrasound feature extraction and pattern recognition.

Talk by Emran Mohammad Abu Anas

Title: Ultrasound guidance in scaphoid fracture fixation: A statistical wrist model development and bone enhancement in Ultrasound

Emran Mohammad Abu Anas received his Bachelor and Master degrees in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Bangladesh, on 2009 and 2011, respectively. He started his PhD^? program at the department of Electrical and Computer Engineering, University of British Columbia, Vancouver Canada in September, 2012. He successfully passed his PhD^? qualifying examination on May, 2014. His research interest includes ultrasound-guidance in orthopaedic surgery, statistical modelling for registration and segmentation.

Talk by Farhad Imani

Title: Ultrasound-based detection of prostate cancer using automatic feature selection with deep belief networks: a clinical feasibility study

Farhad Imani received the B.Sc. and M.Sc. degrees from Iran University of Science and Technology, Tehran, Iran, in 2001 and 2004, respectively, and the Ph.D. degree from Queen’s University, Kingston, Canada, in 2014 all in electrical engineering. From 2004 to 2006, he was a research staff member in the biomedical engineering laboratory at Iran University of Science and Technology, Tehran, Iran. Since 2014, he has worked as a postdoctoral research fellow with Prof. Purang Abomaesumi and Prof. Parvin Mousavi at the University of British Columbia. His research has been in collaboration with i) Queen’s University, Kingston, Canada, ii) Robarts research group, London, Canada, iii) Philips Research North America, Briarcliff Manor, USA, and iv) National Institutes of Health, Bethesda, USA. His research interests include machine learning in medical ultrasound image analysis, image-guided therapy and diagnosis, and multimodality and multi-parametric imaging with emphasis on MRI and ultrasound.