Robert Rohling

Professor and Director ICICS

P.Eng., B.A.Sc. (UBC), M.Eng. (McGill), Ph.D. (Cambridge)

Research Interests

• Biomedical Engineering
• Medical Imaging
• Medical Information Systems
• Robotics

Current Research Work

• In medical imaging, I am developing new acquisition techniques for ultrasound with the goal of improving diagnostics. Two current research directions in this area are 3D ultrasound and spatial compounding to improve the visualization of anatomy and pathology.
• In medical information systems, I am working with industry to improve the timely dissemination of digital medical images and associated data to health care providers. In particular I am currently working on new methods for radiologists to navigate large image sets. This is in response to the growing size of studies produced by modern scanners.
• Finally, I have an interest in the calibration of robotic systems and their application in surgery.

All of these topics are multidisciplinary and I hold a joint appointment with the Department of Electrical and Computer Engineering and the Department of Mechanical Engineering to support this research.

Selected Publications

• F. Deeba, R. Hu, V. Lessoway, J. Terry, D. Pugash, J. Hutcheon, C. Mayer, S. Salcudean, R. Rohling. SWAVE 2.0 Imaging of Placental Elasticity and Viscosity: Potential Biomarkers for Placenta-mediated Disease Detection. Ultrasound Med Biol. 48(12), pp. 2486-2501, 2022.
• A. Omidvar, E. Cretu, R. Rohling, M. Cresswell, A.J. Hodgson. Flexible polyCMUTs: fabrication and characterization of a flexible polymer-based capacitive micromachined ultrasonic array for conformal ultrasonography. Advanced Materials Technologies. 2201316, pp. 1-11, 2022.
• F. Deeba, R. Hu, V. Lessoway, J. Terry, D. Pugash, C. Mayer, J. Hutcheon, S. Salcudean, R. Rohling. Project SWAVE 2.0: An overview of the study design for multimodal placental image acquisition and alignment. MethodsX. 9(101738), pp. 1-18, 2022.
• S. Mohammed, M. Honarvar, Q. Zeng, H. Hashemi, R. Rohling, P. Kozlowski, S. Salcudean. Model-based quantitative elasticity reconstruction using ADMM. IEEE Trans. Medical Imaging. 41(11), pp3039-3052, 2022.
• Y. Shao, H. Hashemi, P. Gordon, L. Warren, J. Wang, R. Rohling, S. Salcudean. Breast Cancer Detection using Multimodal Features from Ultrasound Shear Wave Absolute Vibro-Elastography. IEEE Journal of Biomedical and Health Informatics. 26(2), pp. 704-714, 2022.
• F. Deeba, C. Schneider, S. Mohammed, M. Honarvar, E. Tam, S. Salcudean, R. Rohling. A multiparametric volumetric quantitative ultrasound imaging technique for soft tissue characterization using 3D spatially weighted total variation regularization. Medical Image Analysis. 74 (102245), pp. 1-15, 2021.
• M. Ai, J. Cheng, D. Karimi, S. Salcudean, R. Rohling, P. Abolmaesumi, S. Tang. Investigation of photoacoustic tomography reconstruction with a limited view from linear array. Journal of Biomedical Optics. 26(9), pp. 906009-1 – 906009-17, 2021.
• Q. Zeng, M. Honarvar, C. Schneider, S. Mohammad, J. Lobo, E. Pang, A. Agarwal, G. Harrison, C. Hu, J. Jago, R Rohling, S. Salcudean. Three-dimensional multi-frequency shear wae absolute vibro-elastography (3D S-WAVE) with a matrix array transducer: implementation and preliminary in vivo study of the liver. IEEE Trans. Medical Imaging. 40(2), pp. 648-660, 2021.
• M. Pesteie, V. Lessoway, P. Abolmaesumi, R. Rohling. Automatic midline identification in transverse 2D ultrasound images of the spine. Ultrasound in Medicine and Biology. 46(1), pp. 2846-2854, 2020.
• M. Jafari, H. Girgis, N. van Woudenberg, N. Moulson, C. Luong, A. Fung, S. Balthazaar, J. Jue, M. Tsang, P. Nair, K. Gin, R. Rohling, P. Abolmaesumi, T. Tsang. Cardiac point-of-care to cart-based ultrasound translation using constrained cycleGAN. International Journal of Computer Assisted Radiology and Surgery. 15, pp. 877-886, 2020.
• L. Porto, R. Tang, A. Sawka, V. Lessoway, E. Abu Anas, D. Behnami, P. Abolmaesumi, R. Rohling. A comparative study on position and paramedian neuraxial access on healthy volunteers using 3D models registered to lumbar spine ultrasound. Canadian Journal of Anesthesia. 67, pp. 1152-1161, 2020.
• H. Zhu, S. Salcudean, R. Rohling. Hand-eye coordination based implicit re-calibration method for gaze tracking on ultrasound machines: a statistical approach. International Journal of Computer Assisted Radiology and Surgery. 15, pp. 837-845, 2020.
• Z. Liao, H. Girgis, A. Abdi, H. Vaseli, J. Hetherington, R. Rohling, K. Gin, T. Tsang, P. Abolmaesumi. On modelling label uncertainty in deep neural networks: automatic estimation of intra-observer variability in 2D echocardiography quality assessment. IEEE Trans. Medical Imaging. 39(6), pp. 1868-1883, 2020.

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