Christopher Nguan

Associate Professor

Research Classification

Health Care Technologies
Transplantation and Graft Rejection
Robotics and Automation
Shape Recognition and Computer Graphics
Structural Tissue Engineering / Biomaterials
Optimization, Control and Operations Research
Ethics and Health
Health Information Systems
Prostate Cancer
Male Urogenital System Disorders
Doppler ultrasound
Diagnostic Techniques
Cancer Diagnosis and Detection
Applied Genetics
Gene Therapy
Genetic Markers
Molecular Genetics
Cell Signaling and Infectious and Immune Diseases
GeneTherapy of Infectious and Immune Diseases
Immune Mediators: Cytokines and Chemokines
Hemodynamic measurements
Hyperthermia and Hypothermia
Renal Diseases
Renal Insufficiency/Failure and Malabsorption
Renal System
Urogenital Pathologies
Urogenital System
Optics and Photonics
Sensors and Devices
Virtual Reality
Data mining
Technological Innovations
Educational Technologies
Educational Approaches

Research Interests

kidney transplantation
patient reported outcomes
medical apps for mobile health
machine learning analytics of medical imaging
machine learning analytics of complex medical data outcomes

Affiliations to Research Centres, Institutes & Clusters


Research Methodology

daVinci Si surgical system
wetlab - in vitro, small animal, large animal
clinical / administrative databases


Master's students
Doctoral students
Postdoctoral Fellows
Any time / year round
I support public scholarship, e.g. through the Public Scholars Initiative, and am available to supervise students and Postdocs interested in collaborating with external partners as part of their research.
I support experiential learning experiences, such as internships and work placements, for my graduate students and Postdocs.
I am open to hosting Visiting International Research Students (non-degree, up to 12 months).
I am interested in hiring Co-op students for research placements.

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Graduate Student Supervision

Doctoral Student Supervision (Jan 2008 - May 2021)
Developing surgical navigation tools for minimally invasive surgery using ultrasound, structured light, tissue tracking and augmented reality. (2020)

Surgeons and their patients would benefit if, during an operation, a surgeon could inexpensively, safely and non-invasively peer beneath the surface of the organ s/he was operating on. Peering below the surface would allow the surgeon to see blood vessels, tumours and other important structures. Furthermore, it would allow them to better plan their surgery and avoid damaging important structures with their tools. Giving surgeons the ability to peer beneath the surface and better formulate their surgical plan is the goal of image guided surgery research and the focus of this thesis. In this thesis accurate 3D models of cancer tumour phantoms are generated and displayed to the surgeon. This is achieved via the development of: an ultrasound calibration technique (Chapter 2); the augmented reality ultrasound navigation system (ARUNS) (Chapter 3); a miniature projector for surgery called the Pico Lantern (Chapter 4); and the Projector-based Augmented Reality Intracorporeal System (PARIS)(Chapter 5). The ultimate goal is to improve surgical navigation which will help surgeons be more accurate and reduce the amount of healthy tissue they excise during operations.The ultrasound calibration technique improved ultrasound-based pinhead point reconstruction accuracy from 3.1mm to 1.3mm. The Pico Lantern and the PARIS were developed to improve surface reconstruction and to improve the realism of the augmented reality in surgery. The Pico Lantern is a miniature projector for surface reconstruction, augmented reality and guidance in laparoscopic surgery. The PARIS was tested by two surgeons in a user study of 32 simulated kidney cancer surgeries. Compared to using a laparoscopic ultrasound transducer alone, when using the PARIS, surgeons found the surgical navigation more intuitive and they had a better spatial understanding of the underlying anatomy. Furthermore, positive margin rates decreased and there was a statistically significant reduction in the amount of healthy tissue excised. Key conclusions are that wide baseline ultrasound calibration is effective, simple guidance cues are important in augmented reality in surgery and that projected light in surgery is a viable strategy for surface reconstruction and augmented reality. Supplementary materials:

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Current Students & Alumni

This is a small sample of students and/or alumni that have been supervised by this researcher. It is not meant as a comprehensive list.

Membership Status

Eligible for G+PS membership
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