ProfessorB.A.Sc., M.A.Sc. (British Columbia), Ph.D. (MIT and Harvard University), Postdoctoral Fellowship (Clemson University), Director of Biomedical Engineering Program, NSERC Chair in Design Engineering
|website:||Surgical Technologies Laboratory|
- Computer-Assisted Surgery
- Medical Robotics
- Surgical Simulators and Skill Assessment
- Neuromotor Control
Current Research WorkThe primary focus of my work is on computer-assisted orthopaedic surgery; our main goal is to improve the accuracy of performing surgical tasks (such as placing implants or reducing fractures) while minimizing use of and exposure to radiation and decreasing operative time. We are currently working in three main areas:
- Using Ultrasound to Accurately Locate Bone Surfaces: The primary intraoperative imaging modality used in orthopaedic surgery is C-arm fluoroscopy, but this modality is intrinsically two-dimensional and can expose the patient and operating room team to ionizing radiation. Our goal is to use ultrasound instead, as it is a safe imaging technique that can generate intrinsically three-dimensional surface representations. The key applications are in trauma and spine surgery.
- Smart C-Arm Technologies: The C-arm fluoroscopy machine is a heavy and awkward device, and is not typically used to provide accurate, quantitative information to guide operative procedures. We are developing a suite of technologies aimed at making C-arms location aware and dramatically easier to maneuver so that surgeons can more accurately execute surgical actions and reduce both operative time and radiation exposure. We are also developing a C-arm-based Roentgen Stereophotogrammetry (RSA) system.
- Bone-Mounted Robots: The success of knee replacements depends significantly on the accuracy of placement of the implants, particularly in unicompartmental knee replacement procedures. Conventional navigation systems can improve accuracy compared with conventional techniques, but to date only small robotic devices have demonstrated reductions in operating time in total knee replacements. We are currently investigating a new design concept for a bone-mounted robot for unicompartmental procedures.
- I. Hacihaliloglu, P. Guy, A. J. Hodgson, and R. Abugharbieh, “Volume-specific parameter optimization of 3D local phase features for improved extraction of bone surfaces in ultrasound,” The International Journal of Medical Robotics and Computer Assisted Surgery, 2014.
- A. J. Hodgson, R. C. Tam, and H. M. Van der Loos, “‘ Engineers in Scrubs’-A New Graduate Training Program for Biomedical Engineers at the University of British Columbia,” Journal of Medical Devices, 2014.
- F. Gheorghe, A. J. Hodgson, and H. M. Van der Loos, “IMPROVING OUTCOMES IN STUDENT DESIGN COURSES THROUGH QUALITATIVE USER RESEARCH AND CONTEXTUAL IMMERSION,” Proceedings of the Canadian Engineering Education Association, 2013.
- X. Kang, H. Zhang, D. Garbuz, D. R. Wilson, and A. J. Hodgson, “Preliminary evaluation of an MRI-based technique for displaying and quantifying bony deformities in cam-type femoroacetabular impingement,” International journal of computer assisted radiology and surgery, vol. 8, no. 6, pp. 967–975, 2013.
- A. Amir-Khalili, A. J. Hodgson, and R. Abugharbieh, “Real-time extraction of local phase features from volumetric medical image data,” in Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on, 2013, pp. 930–933.
- A. J. Hodgson and H. M. Van der Loos, “The Innovation Agenda: Potential Implications for the Engineering Design Curriculum,” Proceedings of the Canadian Engineering Education Association, 2013.
- I. Hacihaliloglu, R. Abugharbieh, A. J. Hodgson, R. N. Rohling, and P. Guy, “Automatic bone localization and fracture detection from volumetric ultrasound images using 3-d local phase features,” Ultrasound in medicine & biology, vol. 38, no. 1, pp. 128–144, 2012.
- N. Hungr, B. Roger, A. J. Hodgson, and C. Plaskos, “Dynamic physical constraints: emulating hard surfaces with high realism,” Haptics, IEEE Transactions on, vol. 5, no. 1, pp. 48–57, 2012.
- A. J. Hodgson and H. M. Van Der Loos, “ASSESSMENT OF EVIDENCE FOR THE EFFECTIVENESS OF DIFFERENT IDEATION PRACTICES,” Proceedings of the Canadian Engineering Education Association, 2012.
- I. Hacihaliloglu, R. Abugharbieh, A. J. Hodgson, and R. N. Rohling, “Automatic adaptive parameterization in local phase feature-based bone segmentation in ultrasound,” Ultrasound in medicine & biology, vol. 37, no. 10, pp. 1689–1703, 2011.