Baum, Z. M. C., Ungi T., Lasso A., & Fichtinger G. (2017).  Usability of a real-time tracked augmented reality display system in musculoskeletal injections. SPIE Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling.

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Baum2017a.pdf (889.77 KB)

Baum, Z. M. C., Ungi T., Lasso A., Church B., Schlenger C., & Fichtinger G. (2018).  Visual aid for identifying vertebral landmarks in ultrasound. SPIE Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. 10576, 105760Z.

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Baum2018a.pdf (1.46 MB)

Carter, K., Vaughan T., Holden M. S., Gauvin G., Pezeshki P., Lasso A., et al. (2016).  Visual feedback mounted on surgical tool: proof of concept. SPIE Medical Imaging 2016. 9786,

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Church, B., Lasso A., Schlenger C., Borschneck D. P., Mousavi P., Fichtinger G., et al. (2017).  Visualization of scoliotic spine using ultrasound-accessible skeletal landmarks. SPIE Medical Imaging 2017.

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Anand, M., Ungi T., Lasso A., U-Thainual P., Jayender J., Fritz J., et al. (2013).  Workspace Analysis and Calibration Method for Mobile Image Overlay System used for Image-Guided Interventions. The Hamlyn Symposium on Medical Robotics - 2013.

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Marker, D. R., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (In Press).  1.5 Tesla augmented reality navigated interventional magnetic resonance imaging: paravertebral sympathetic plexus injections. Diagnostic and Interventional Radiology.

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Clinkard, D., Moult E., Holden M. S., Davison C., Ungi T., Fichtinger G., et al. (2015).  Assessment of Lumbar Puncture Skill in Experts and Nonexperts Using Checklists and Quantitative Tracking of Needle Trajectories: Implications for Competency-Based Medical Education. Teaching and Learning in Medicine. 27, 51-56.

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Baum, Z. M. C., Lasso A., Ryan S., Ungi T., Rae E., Zevin B., et al. (2019).  Augmented reality training platform for neurosurgical burr hole localization. Journal of Medical Robotics Research. 4, 1942001-1 - 1942001-13.

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Baum2020a.pdf (646.88 KB)

Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (2013).  Augmented reality visualisation using an image overlay system for MR-guided interventions: technical performance of spine injection procedures in human cadavers at 1.5 Tesla. European Radiology. 23, 235-245.

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Fritz, J., U-Thainual P., Ungi T., Flammang A. J., McCarthy EF., Fichtinger G., et al. (2013).  Augmented Reality Visualization Using Image Overlay Technology for MR-Guided Interventions: Cadaveric Bone Biopsy at 1.5 T. Investigative Radiology. 48,

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Fritz2013b.pdf (1.15 MB)

Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Cho N. Bongjoon, Fichtinger G., et al. (2012).  Augmented Reality Visualization Using Image-Overlay for MR-Guided Interventions: Accuracy for Lumbar Spinal Procedures with a 1.5-Tesla MRI scanner.. American Journal of Roentgenology. 198, W266-73.

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Fritz, J., U-Thainual P., Ungi T., Flammang A. J., Fichtinger G., Iordachita I., et al. (2012).  Augmented Reality Visualization with Use of Image Overlay Technology for MR Imaging–guided Interventions: Assessment of Performance in Cadaveric Shoulder and Hip Arthrography at 1.5 T. Radiology. 265, 254-259.

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Ungi, T., Greer H., Sunderland K. R., Wu V., Baum Z. M. C., Schlenger C., et al. (2020).  Automatic spine ultrasound segmentation for scoliosis visualization and measurement. IEEE Transactions on Biomedical Engineering. 67, 3234 - 3241.

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Connolly, L., Deguet A., Leonard S., Tokuda J., Ungi T., Krieger A., et al. (2022).  Bridging 3D Slicer and ROS2 for Image-Guided Robotic Interventions. Sensors. 22,

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Keri, Z., Sydor D., Ungi T., Holden M. S., McGraw R. C., Mousavi P., et al. (2015).  Computerized training system for ultrasound-guided lumbar puncture on abnormal spine models: a randomized controlled trial. Canadian Journal of Anesthesia. 62, 777-784.

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McGraw, R. C., Chaplin T., McKaigney C., Rang L., Jaeger M., Redfearn D., et al. (2016).  Development and evaluation of a simulation-based curriculum for ultrasound guided central venous catheterization. Canadian Journal of Emergency Medicine. 18, 405-413.

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Clinkard, D., Holden M. S., Ungi T., Messenger D., Fichtinger G., & McGraw R. C. (2015).  The Development and Validation of Hand Motion Analysis to Evaluate Competency in Central Line Catheterization. Academic Emergency Medicine. 22, 212-218.

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Yeo, C. T., Ungi T., U-Thainual P., Lasso A., McGraw R. C., & Fichtinger G. (2011).  The Effect of Augmented Reality Training on Percutaneous Needle Placement in Spinal Facet Joint Injections. IEEE Transactions on Biomedical Engineering. 58, 2031-7.

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Yeo2011.pdf (692.74 KB)

Yeo, C. T., Davison C., Ungi T., Holden M. S., Fichtinger G., & McGraw R. C. (2015).  Examination of learning trajectories for simulated lumbar puncture training using hand motion analysis. Academic Emergency Medicine. 22, 1187-1195.

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Holden, M. S., Ungi T., Sargent D., McGraw R. C., Chen E. C. S., Ganapathy S., et al. (2014).  Feasibility of Real-Time Workflow Segmentation for Tracked Needle Interventions. IEEE Transactions on Biomedical Engineering. 61, 1720-1728.

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Holden2014a-Manuscript.pdf (631.07 KB)

Vaughan, T., Lasso A., Ungi T., & Fichtinger G. (2015).  Hole filling with oriented sticks in ultrasound volume reconstruction. J. Med. Imag.. 2,

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Vaughan2015_Manuscript.pdf (3.91 MB)

Moult, E., Lasso A., Ungi T., Pinter C., Welch M., & Fichtinger G. (2017).  Improved temporal calibration of tracked ultrasound: an open-source solution. Journal of Medical Robotics Research. 2, 1750008.

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Kapur, T., Pieper S., Lasso A., Ungi T., Pinter C., Fichtinger G., et al. (2016).  Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience. Medical Image Analysis. 33, 176-180.

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Holden, M. S., Xia S., Lia H., Keri Z., Bell C., Patterson L., et al. (In Press).  Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions. International Journal of Computer Assisted Radiology and Surgery.

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Holden2019a-manuscript.pdf (640.01 KB)

U-Thainual, P., Fritz J., Moonjaita C., Ungi T., Flammang A. J., Carrino J. A., et al. (2013).  MR image overlay guidance: system evaluation for preclinical use. International Journal of Computer Assisted Radiology and Surgery. 8, 365-378.

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10.1007_s11548-012-0788-0.pdf (2.16 MB)