A5024913646- Cardiovascular Function and Risk Factors
- Cardiac Imaging and Diagnostics
- Elasticity and Material Modeling
- Cardiac Valve Diseases and Treatments
- Advanced MRI Techniques and Applications
- Optical measurement and interference techniques
- AI in cancer detection
- Ultrasound Imaging and Elastography
- Medical Imaging and Analysis
- Scientific Computing and Data Management
- Radiomics and Machine Learning in Medical Imaging
- Advanced Radiotherapy Techniques
- Optical Coherence Tomography Applications
- Cellular Mechanics and Interactions
- Hemodynamic Monitoring and Therapy
- 3D Shape Modeling and Analysis
- Respiratory Support and Mechanisms
- Advanced Measurement and Metrology Techniques
- Scoliosis diagnosis and treatment
- Medical Imaging Techniques and Applications
- Cell Image Analysis Techniques
- Cancer Cells and Metastasis
- Inhalation and Respiratory Drug Delivery
- Medical Image Segmentation Techniques
- Advanced X-ray and CT Imaging
University of Auckland
2015-2024
Auckland City Hospital
2023
Auckland University of Technology
2020
Bioengineering Center
2019
Segmentation of the left ventricle (LV) in echocardiography is an important task for quantification volume and mass heart disease. Continuing advances have extended imaging capabilities into 3D domain, subsequently overcoming geometric assumptions associated with conventional 2D acquisitions. Nevertheless, analysis (3DE) poses several challenges limited spatial resolution, poor contrast-to-noise ratio, complex noise characteristics, image anisotropy. To develop automated methods 3DE...
Abstract This study investigates the use of multiple gravity‐loaded configurations a soft heterogeneous body for identification its mechanical properties. It is largely motivated by need in vivo , non‐invasive determination properties biological tissue, such as breast, purposes tracking and predicting tumor locations. In order to validate this approach, experiments were performed on two‐layered silicone gel cantilever beam, laser scanned eight different orientations under gravity loading. A...
Clinicians face many challenges when diagnosing and treating breast cancer. These include interpreting co-locating information between different medical imaging modalities that are used to identify tumours predicting where these move during treatment procedures. We have developed a novel automated image analysis workflow integrates state-of-the-art processing machine learning techniques, personalized three-dimensional biomechanical modelling population-based statistical assist clinicians...
3D surface measurements have many industrial and medical applications. We previously used deformation tracking to identify mechanical properties of the skin. To be able detect dynamic changes in skin we need a real-time measurement system. A significant portion computation time for is spent during 2D cross-correlation images. This study focuses on improving speed by taking advantage parallel field programmable gate arrays (FPGAs). implemented variable size computations using Xilinx System...
Cardiac mechanics tools can be used to enhance medical diagnosis and treatment, assessment of risk cardiovascular diseases. Still, the computational cost solve cardiac models restricts their use for online applications routine clinical practice. This work presents a surrogate model obtained by training set Siamese networks over physiological representation left ventricle. Our allows us modify geometry, loading conditions material properties without needing retraining. Additionally, we...
Computational physiological models continue to increase in complexity, however, the task of efficiently calibrating model available clinical data remains a significant challenge. One part this challenge is associated with long calibration times, which present barrier for routine application model-based prediction practice. Another aspect limited unique complex models. Therefore, calibrate patient-specific model, it may be beneficial verify that task-specific predictions have acceptable...
The identification and assessment of sentinel lymph nodes (SLNs) in breast cancer is important for optimised patient management. aim this study was to develop an interactive 3D SLN atlas perform statistical analyses lymphatic drainage patterns tumour prevalence.
Identifying the mechanical properties of skin has been subject much study in recent years, as such knowledge can provide insight into wound healing, wrinkling and minimization scarring through surgical planning.
Models of cardiac mechanics require a well-defined reference geometry from which deformations and hence myocardial strain stress can be calculated. In the in vivo beating heart, load-free (LF) generally cannot measured directly, since, many cases, there is no stage at lumen pressures contractile state are all zero. Therefore, need for an efficient method to estimate LF geometry, essential accurate mechanical simulation left ventricular (LV) mechanics, estimations passive constitutive...
To develop a method to quantify strain fields from in vivo intestinal motility recordings that mitigate accumulation of tracking error.The deforming geometry the intestine video sequences was modeled by biquadratic B-spline mesh. Green-Lagrange were computed surface deformations. A nonlinear optimization scheme applied error associated with image registration.The maintained RMS under 1% and reduced rate 97% during synthetic tests. The algorithm map 64 segmental, 12 longitudinal, 23...
3D surface measurements are important for studying the biomechanical properties of deformable tissues. For profiling and reconstruction, corresponding points on an object should be matched in different camera views. This process is traditionally performed systems that use stereo pairs or multiple cameras with aligned optical axes. To measure deformation soft tissues, it may more appropriate to arbitrarily position cameras. instance, can placed overcome obstructions caused by measurement...
Clinical translation of personalised computational physiology workflows and digital twins can revolutionise healthcare by providing a better understanding an individual's physiological processes any changes that could lead to serious health consequences. However, the lack common infrastructure for developing these has hampered realisation this vision. The Auckland Bioengineering Institute's 12 LABOURS project aims address challenges Digital Twin Platform enable researchers develop...
This seminar will present our latest efforts towards developing a Physiome modelling platform for precision medicine - the 12 Labours DigitalTWINS (Digital Translational Workflows INtegrating Systems). We are building this to support clinical translation of computational physiology workflows and development personalised digital twins patients. describe how we storing data within using FAIR management system FHIR standard exemplar projects. These include diagnosis breast cancer pulmonary...