Auckland Bioengineering Institute


Biomechanics for Breast Imaging

c-breast-mechanics.png

New Zealand women have a 10% lifetime risk of developing breast cancer. Women self-identified as Máori have a twofold higher risk of developing breast cancer than non-Máori. Early detection by mammography (x-ray imaging of the compressed breast) currently offers the best chance of survival. However, small tumours are often difficult to identify because of poor contrast and lack of reliability in accounting for large deformations of breast tissue during compression. Current image registration algorithms account for tissue movement using heuristic approaches that are not based upon the physical principles that govern such deformations. The goal of this project is to develop a computational framework, based upon a quantitative model of the human breast, to facilitate the reliable interpretation of mammograms and other imaging modalities, such as MRI and ultrasound.

Watch our latest video to learn about our research:

Find out more about how The University of Auckland's Research Works Wonders (youtube.com)

c-prone_supine_movie.gif
Modelling breast movement under gravity

We have developed computational techniques to track breast tissue motion under gravity. This can simulate, for example, a patient being reoriented from the prone position in an MR scanner to the supine position, for a subsequent biopsy or ultrasound procedure.

c-compression_movie.gif
Modelling mammographic compression

Techniques have been implemented that simulate compression during mammographic imaging. We have developed methods that collate microcalcifications between different mammographic views and track lesions across different modalities, such as x-ray mammography, MRI and ultrasound.

c-breast-lymphatics.jpg
Modelling breast cancer spread

We are developing statistical models to analyse the spread of breast cancer through the lymphatic system. These models will enable clinicians to predict where a patient's primary tumour may spread, and has the potential to improve disease management.

View patterns of breast cancer spread using our model.

c-breast-cancer-tracker-scrn-cap.jpg
Software interfaces for clinical applications

Software applications are being developed to use our techniques in an intuitive and clinically-friendly way, with an emphasis on ensuring the software can be easily incorporated into the radiologist’s workflow. These applications will provide a visual framework for efficient breast care treatment.

Graduate and Post-Doctoral opportunites

The Biomechanics for Breast Imaging Group has filled all vacancies for its current research projects and research opportunities. Please check back for future opportunities with this research group.

Funding partners

The Biomechanics for Breast Imaging Project gratefully acknowledges the support of its funding partners:


Research projects

Expressions of interest PhD

Funded PhD opportunities

Research publications




Please give us your feedback or ask us a question

This message is...


My feedback or question is...


My email address is...

(Only if you need a reply)

A to Z Directory | Site map | Accessibility | Copyright | Privacy | Disclaimer | Feedback on this page