Dr. Terry Peters is a Scientist in the Imaging Research Laboratories at the Robarts Research Institute (RRI), London, ON, Canada, and Professor in the Departments of Medical Imaging and Medical Biophysics at the University of Western Ontario, as well as a member of the Graduate Programs in Neurosciences and Biomedical Engineering. He is also an adjunct Professor at McGill University in Montreal. Dr. Peters received his graduate training at the University of Canterbury in New Zealand in Electrical Engineering, under the direction of Professor Richard Bates. His PhD work dealt with fundamental issues in Computed Tomography image reconstruction. For the past 30 years, his research has built on this foundation, focusing on the application of computational hardware and software advances to medical imaging modalities in surgery and therapy. Since 1997 Dr. Peters has been at the Robarts Research Institute at the University of Western Ontario, London Canada, where he has established a focus of image-guided surgery and therapy within the Robarts Imaging Research Laboratories. His lab has expanded over the past thirteen years to encompass image-guided procedures of the heart, brain and abdomen.
Dr. Peters has authored over 200 peer-reviewed papers and book chapters, a similar number of abstracts, and has delivered over 180 invited presentations. He is a Fellow of the Institute of Electrical and Electronics Engineers, the Canadian College of Physicists in Medicine; the American Association of Physicists in Medicine, the Australasian College of Physical Scientists and Engineers in Medicine, the MICCAI Society, and the Institute of Physics. He is an executive member of the board of the MICCAI society, as well as its treasurer. He has mentored over 75 trainees at the Masters, Doctoral and Postdoctoral levels.
Dr. Peters has authored over 200 peer-reviewed papers and book chapters, a similar number of abstracts, and has delivered over 180 invited presentations. He is a Fellow of the Institute of Electrical and Electronics Engineers, the Canadian College of Physicists in Medicine; the American Association of Physicists in Medicine, the Australasian College of Physical Scientists and Engineers in Medicine, the MICCAI Society, and the Institute of Physics. He is an executive member of the board of the MICCAI society, as well as its treasurer. He has mentored over 75 trainees at the Masters, Doctoral and Postdoctoral levels.
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Applications of VR medical image visualization to chordal length measurements for cardiac procedures
Since traditional US-MRI registration techniques use reconstructed US volumes or a series of tracked US slices, the functionality of this approach can be compromised by the limitations of optical or magnetic tracking systems in the neurosurgical operating room. These drawbacks include ergonomic issues, line-of-sight/magnetic interference, and maintenance of the sterile field. For those seeking a US vendor-agnostic system, these issues are compounded with the challenge of instrumenting the probe without permanent modification and calibrating the probe face to the tracking tool.
To address these challenges, this paper explores the feasibility of a real-time US-MRI volume registration in a small virtual craniotomy site using a single slice. We employ the Linear Correlation of Linear Combination (LC2) similarity metric in its patch-based form on data from MNI’s Brain Images for Tumour Evaluation (BITE) dataset as a PyCUDA enabled Python module in Slicer. By retaining the original orientation information, we are able to improve on the poses using this approach. To further assist the challenge of US-MRI registration, we also present the BOXLC2 metric which demonstrates a speed improvement to LC2, while retaining a similar accuracy in this context.
Evaluation and validation methods for intersubject nonrigid 3D image registration of the human brain
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