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Name

Andras Lasso PhD, Associate Director (Engineering)

Short Biography

Andras Lasso graduated at the Budapest University of Technology, Hungary (MSc in Electrical Engineering, 2000; PhD, 2011). He joined GE Healthcare as a software engineer in 2000, was appointed Lead Engineer in 2003, and Senior Engineer in 2008. He developed various software components and test infrastructure for GE Innova interventional X-ray systems and GE Advantage Workstation and led development of advanced image visualization, quantification, real-time image fusion and guidance applications. He also participated in various research collaboration projects in medical image analysis, enhancement, segmentation, registration, and fusion. He joined the Perk Lab in 2009 as a Senior Engineer to work on image-guided intervention research and system development. In 2011 he was appointed to be Associate Director of the Perk Lab. His main interests are developing high-quality, reusable, open-source software components and using them to build systems for translational research and clinical use.

Affiliation

Institution: Queen's University

Department: School of Computing

Designation: Staff

Lab membership period: since 2009

Projects

Publications

In Press
Brastianos, H., Vaughan T., Lasso A., Westerland M., Gooding J., Fichtinger G., et al. (In Press). Electromagnetic Reconstruction of Catheter Paths in Mult-Catheter Interstitial Brachytherapy: A Phantom Model.. Canadian Association of Radiation Oncology (CARO) Annual Scientific Meeting. Google Scholar BibTeX
Yeo, C. T., MacDonald A., Ungi T., Lasso A., Jalink D., Fichtinger G., et al. (In Press). 3D Segmentation as a Surgical Planning Tool for Residents in Liver Resection Surgery. 2017 International Conference on Residency Education (ICRE). Google Scholar BibTeX

2022
Connolly, L., Jamzad A., Nikniazi A., Poushimin R., Lasso A., Sunderland K. R., et al. (2022). An open-source testbed for developing image-guided robotic tumor-bed inspection. Imaging Network of Ontario (ImNO) Symposium. Google Scholar BibTeX Connolly2022b.pdf (838.81 KB)

2021
Connolly, L., Sunderland K. R., Lasso A., Degeut A., Ungi T., Rudan J., et al. (2021). A platform for robot-assisted Intraoperative imaging in breast conserving surgery. Imaging Network of Ontario Symposium . Google Scholar BibTeX Connolly2021a.pdf (773.23 KB)
Connolly, L., Degeut A., Sunderland K. R., Lasso A., Ungi T., Rudan J., et al. (2021). An open-source platform for cooperative semi-autonomous robotic surgery. IEEE International Conference on Autonomous Systems. DOI Google Scholar BibTeX

2020
Gauvin, G., Yeo C. T., Ungi T., Merchant S., Lasso A., Jabs D., et al. (2020). Real‐time electromagnetic navigation for breast‐conserving surgery using NaviKnife technology: A matched case‐control study. The Breast Journal. 26, 399-405. DOI Google Scholar BibTeX
Pinter, C., Lasso A., Choueib S., Asselin M., Fillion-Robin J-CC., Vimort J-B., et al. (2020). SlicerVR for Medical Intervention Training and Planning in Immersive Virtual Reality. IEEE Transactions on Medical Robotics and Bionics. 2, 108-117. DOI Google Scholar BibTeX Pinter2020.pdf (521.6 KB)
Barr, C., Lasso A., Asselin M., Pieper S., Robertson F. C., Gormley W. B., et al. (2020). Towards portable image guidance and automatic patient registration using an RGB-D camera and video projector. Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions and Modeling. 11315, DOI Google Scholar BibTeX Barr2020.pdf (487.62 KB)
Fedorov, A., Beichel R., Kalpathy-Cramer J., Clunie D., Onken M., Riesmeier J., et al. (2020). Quantitative Imaging Informatics for Cancer Research. JCO Clinical Cancer Informatics. 4, 444-453.. DOI Google Scholar BibTeX Fedorov2020.pdf (840.27 KB)
Choi, P. S., Nam HH., Lasso A., Herz C., Drouin S., Harrild D. M., et al. (2020). 3D Modeling of Surgically Implanted Stent-Based Valves in the Mitral Position in Children. The Annals of Thoracic Surgery. DOI Google Scholar BibTeX

2019
Lasso, A., Pinter C., Choueib S., Ungi T., & Fichtinger G. (2019). Enhance medical software applications with immersive virtual reality experience. Techna Symposium. Google Scholar BibTeX Lasso2019.pdf (1.05 MB)
Vaughan, T., Brastianos H., Ungi T., Lasso A., Falkson C., & Fichtinger G. (2019). Needle Navigation and Catheter Reconstruction for Breast Brachytherapy Using Open Source Software. Acta Polytechnica Hungarica. 16, 99-118. Google Scholar BibTeX Vaughan2019a.pdf (3.42 MB)
Pinter, C., Lasso A., Asselin M., Fillion-Robin J-CC., Vimort J-B., Martin K., et al. (2019). SlicerVR for image-guided therapy planning in immersive virtual reality. The 12th Hamlyn Symposium on Medical Robotics, 23-26 June 2019, Imperial College, London, UK. 91-92. Google Scholar BibTeX Pinter2019a.pdf (348.83 KB)
Choueib, S., Pinter C., Lasso A., Fillion-Robin J-CC., Vimort J-B., Martin K., et al. (2019). Assessment of immersive medical virtual reality visualization using 3D Slicer. 17th Annual Imaging Network Ontario Symposium (ImNO). Google Scholar BibTeX Choueib2019b.pdf (314.46 KB)
Choueib, S., Pinter C., Lasso A., Fillion-Robin J-CC., Vimort J-B., Martin K., et al. (2019). Evaluation of 3D Slicer as a medical virtual reality visualization platform. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, Google Scholar BibTeX Choueib2019a.pdf (746.97 KB)
Connolly, L., Ungi T., Lasso A., Vaughan T., Asselin M., Mousavi P., et al. (2019). Mechanically-Controlled Spectroscopic Imaging for Tissue Classification. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, DOI Google Scholar BibTeX Connolly2019a.pdf (877.7 KB)
Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M., Tan P., et al. (2019). Analyzing the curvature of the colon in different patient positions. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, Google Scholar BibTeX Laframboise2019a.pdf (400.26 KB)
Baum, Z. M. C., Church B., Lasso A., Ungi T., Schlenger C., Borschneck D. P., et al. (2019). Step-wise identification of ultrasound-visible anatomical landmarks for 3D visualization of scoliotic spine. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, Google Scholar BibTeX Baum2019a.pdf (496 KB)
Pinter, C., Lasso A., & Fichtinger G. (2019). Polymorph Segmentation Representation for Medical Image Computing. Computer Methods and Programs in Biomedicine. 171, 19-26. DOI Google Scholar BibTeX Pinter2019_Manuscript.pdf (707.26 KB)
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. DOI Google Scholar BibTeX Baum2020a.pdf (646.88 KB)
Lund, S., Vaughan T., Ungi T., Lasso A., Asselin M., Yeo C., et al. (2019). Controlling virtual views in navigated breast conserving surgery. SPIE Medical Imaging 2019. Google Scholar BibTeX
Nguyen, A. V., Lasso A., Nam HH., Faerber J., Aly A. H., Pouch A. M., et al. (2019). Dynamic Three-Dimensional Geometry of the Tricuspid Valve Annulus in Hypoplastic Left Heart Syndrome with a Fontan Circulation. Journal of the American Society of Echocardiography. DOI Google Scholar BibTeX
Baum, Z. M. C., Ryan S., Rae E., Lasso A., Ungi T., Levy R., et al. (2019). Assessment of intraoperative neurosurgical planning with the Microsoft HoloLens. 17th Annual Imaging Network Ontario Symposium (ImNO). Google Scholar BibTeX Baum2019b.pdf (162.89 KB)
House, R., Kunz M., Valiquette C., Lasso A., Ungi T., Rudan J., et al. (2019). Monitoring volume changes for breast reconstruction surgery using three dimensional optical surface scanning. Canadian Society of Plastic Surgeons (CSPS) Annual Meeting. Google Scholar BibTeX House2019a-manuscript.pdf (372.2 KB)
Perrin, S., Baum Z. M. C., Asselin M., Underwood G., Choueib S., Lia H., et al. (2019). Reproducibility of freehand calibrations for ultrasound-guided needle navigation. SPIE Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling. 10951, Google Scholar BibTeX Perrin2019a.pdf (686.56 KB)
Asselin, M., Kaufmann M., Wiercigroch J., Ungi T., Lasso A., Rudan J., et al. (2019). Navigated real-time molecular analysis in the operating theatre, demonstration of concept. SPIE Medical Imaging 2019. Google Scholar BibTeX
Laframboise, J., Ungi T., Lasso A., Asselin M., Holden M., Tan P., et al. (2019). Quantifying the effect of patient position on the curvature of colons. 17th Annual Imaging Network Ontario Symposium (ImNO). Google Scholar BibTeX Laframboise2019b.pdf (198.44 KB)

2018
Poulin, E., Boudam K., Pinter C., Kadoury S., Lasso A., Fichtinger G., et al. (2018). Validation of MRI to TRUS registration for HDR prostate brachytherapy. Brachytherapy. 17, 283-290. Google Scholar BibTeX Poulin2018.pdf (2.46 MB)
Jolley, MA., Lasso A., Nam HH., Dinh P. V., Scanlan A. B., Nguyen A. V., et al. (2018). Toward predictive modeling of catheter-based pulmonary valve replacement into native right ventricular outflow tracts. Catheterization and Cardiovascular Interventions. DOI Google Scholar BibTeX
Lasso, A., Nam HH., Dinh PV., Pinter C., Fillion-Robin J-CC., Pieper S., et al. (2018). Interaction with Volume-Rendered Three-Dimensional Echocardiographic Images in Virtual Reality. J Am Soc Echocardiogr. 31, 1158-60–. Google Scholar BibTeX

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