Translating Advanced 3D Ultrasound System for Measuring Dysplasia Metrics into Clinical Practice

In this work we seek to deploy a web app to help orthopaedic clinicians all around the world analyse 3D ultrasound (US) volumes of hips to more accurately diagnose developmental dysplasia of the hip in infants. We intend to
develop and evaluate artificial intelligence (AI) models capable of segmenting relevant hip bones from 3D US volume and subsequently calculate geometric metrics indicative of dysplasia. Our primary focus is to develop
novel AI training protocols that enable better generalization and thus ease the deployment of the models to the clinical setting. Specifically, we intend to design methods to augment the data with which the AI models are trained
in ways that are congruent with ultrasound imaging acquisition. Once we evaluate the capabilities of our AI model and address potential translational limitations, our partner will be able to deploy the AI model in the clinical
environment and benefit from advanced analysis techniques that could help better understand and diagnose this condition.

Faculty Supervisor:

Antony Hodgson

Student:

Partner:

BC Children's Hospital

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology

University:

The University of British Columbia

Program: