Ian J. Gerard attended Western University from 2007 – 2011 where he earned his Honour’s Bachelor degree in Medical Biophysics. Under the supervision of Dr. Giles Santyr at the Robarts Research Institute in London, Ontario, he wrote his undergraduate honours thesis entitled, “Determining Whole Lung Perfusion Using Dynamic Hyperpolarized 129-Xe Magnetic Resonance Spectroscopy”. He was awarded the Western Gold Medal for his undergraduate work. In 2011, he began his graduate studies at McGill University in the Medical Physics Unit towards completion of a CAMPEP accredited Master’s degree in Medical Physics. Under the supervision of Dr. D. Louis Collins at the McConnell Brain Imaging Centre he completed his Master’s thesis entitled, “An analysis of tracking error in image guided neurosurgery”.  Ian is currently still working under the supervision of Dr. Collins towards a Ph.D. in Biomedical Engineering. His research has continued focusing on improving the accuracy of image guided neurosurgery with improved registration techniques as well as the use of intraoperative ultrasound imaging and combining these tools with augmented reality visualizations in the context of tumour neurosurgery.

 

Publications

Journal Publications:

[5] Gerard, I. J., Kersten-Oertel, M., Petrecca, K., Sirhan, D., Hall, J. A., & Collins, D. L. (2016). Brain shift in Neuronavigation of brain tumours: A review. Medical Image Analysis (Accepted for Publication)

[4] Gerard, I. J., Hall, J. A., Mok, K., & Collins, D. L. (2015). New protocol for skin landmark registration in image-guided neurosurgery: technical note. Neurosurgery11, 376-381.

[3] Kersten-Oertel, M., Gerard, I. J., Drouin, S., Mok, K., Sirhan, D., Sinclair, D. S., & Collins, D. L. (2015). Augmented reality in neurovascular surgery: feasibility and first uses in the operating room. International journal of computer assisted radiology and surgery10(11), 1823-1836.

[2] Gerard, I. J., & Collins, D. L. (2015). An analysis of tracking error in image-guided neurosurgery. International journal of computer assisted radiology and surgery10(10), 1579-1588.

[1] Xiao, Y., Fonov, V. S., Beriault, S., Gerard, I. J., Sadikot, A. F., Pike, G. B., & Collins, D. L. (2015). Patch-based label fusion segmentation of brainstem structures with dual-contrast MRI for Parkinson’s disease. International journal of computer assisted radiology and surgery10(7), 1029-1041.

 

Conference Abstracts, Workshop Articles, and Book Chapters:

[11] Gerard, I. J., Kersten-Oertel, M., Kochanowska, A., & Collins, D. L. (2016) The Validation Grid: A new tool to validate multimodal image registration. Int J CARS, 11(1):S1-S316

[10] Kersten-Oertel, M., Gerard, I. J., Drouin, S., Petrecca, K., Hall, J. A., & Collins, D. L. (2016) Intraoperative Craniotomy Planning for Brain Tumour Surgery using Augmented Reality. Int J CARS, 11(1):S1-S316

[9] Xiao, Y., Gerard, I. J., Fonov, V., De Nigris, D., Therrien, C., Aubert-Broche, B., Drouin, S., Kochanowska, A., Tampieri, D., & Collins, D. L. (2016). Atlas-guided transcranial Doppler ultrasound examination with a neuro-surgical navigation system: case study. 4th Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging, LNCS 9401, pp. 1–9. DOI: 10.1007/978-3-319-31808-0 3

[8] Gerard, I. J., Kersten-Oertel, M., Drouin, S., Hall, J. A., Petrecca, K., De Nigris, D., Arbel, T., & Collins, D. L. (2016). Improving Patient Specific Neurosurgical Models with Intraoperative Ultrasound and Augmented Reality Visualizations in a Neuronavigation Environment.  4th Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging, LNCS 9401, pp. 1–8. DOI: 10.1007/978-3-319-31808-0_4

[7] Kersten-Oertel, M., Gerard, I. J., Drouin, S., Mok, K., Sirhan, D., Sinclair, D. S., & Collins, D. L. (2015). Augmented Reality for Specific Neurovascular Surgical Tasks. In Augmented Environments for Computer-Assisted Interventions (pp. 92-103). Springer International Publishing.

[6] Gerard, I. J., Kersten-Oertel, M., Petrecca, K., Drouin, S., Mok, K., De Nigris, D., Arbel, T., & Collins, D. L. (2015). Improving Augmented Reality Tumour Visualization With Intraoperative Ultrasound in Image Guided Neurosurgery: Case Report. Int J CARS, 10(1):S1-S312

[5] Kersten-Oertel, M., Gerard, I. J., Drouin, S., Mok, K., Petrecca, K., & Collins, D. L. (2015) Augmented Reality for Brain Tumour Resections. Int J CARS, 10(1):S260

[4] Kersten-Oertel, M., Gerard, I. J., Drouin, S., Mok, K., Sirhan, D., Sinclair, D., & Collins, D. L. (2014). Augmented reality in neurovascular surgery: first experiences. In Augmented Environments for Computer-Assisted Interventions (pp. 80-89). Springer International Publishing.

[3] Gerard, I. J., Hall, J. A., Mok, K., & Collins, D. L. (2014). Sci—Thur PM: Imaging—02: Repeated landmark use for patient-to-image registration reduces fiducial registration error in patient-to-image mapping in image guided neurosurgery. Medical Physics41(8), 4-4.

[2] Gerard, I. J., & Collins, D. L. (2014). An Analysis of Tracking Error in Image Guided Neurosurgery. Int J CARS9(1), S93-S101.

[1] Kersten-Oertel, M., Drouin, S., Mok, K., Gerard, I. J., Sinclair, D., Sirhan, D., & Collins, D. L. (2015) “Augmented Reality in the operating room: a proof of concept” Int J CARS, 9(1):S199-S200.