Assessing Morphology in all Dimensions: 3D Analysis of Face and Brain
For our next talk in The Phenome@BDI seminar series we will hear from Dr Michael Suttie, Researcher in Medical Image Analysis at the Nuffield Department of Women’s & Reproductive Health, University of Oxford, on Wednesday, 13 March, 2:00 – 3:00pm at the Big Data Institute (BDI).
Time: 2:00 – 3:00 pm
Date: Wednesday, 13 March 2024
Venue: Big Data Institute, Seminar Room 0
Title: Assessing Morphology in all Dimensions: 3D Analysis of Face and Brain
Abstract: Shape analysis has a variety of applications for identifying of phenotypic traits. One such application is in the identification of facial and brain morphology associated with genetic or environmentally influenced conditions. We have developed tools to analyse 3D morphology, utilising supervised and unsupervised learning methods to improve identification of syndromic conditions. One such application is fetal alcohol spectrum disorders (FASD), where the identification of facial features is key to an accurate diagnosis. Currently, the clinical assessment is reliant on a subjective identification of cardinal features where the accuracy is reliant on the skill and experience of the clinician. In this talk, we will discuss some of 3D analysis techniques developed to quantify face and brain morphology associated with genetic conditions and FASD, and explain our aims to translate these tools for clinical utility.
Bio:
Dr Michael Suttie is a researcher in medical image analysis at the Nuffield Department of Women’s & Reproductive Health, University of Oxford – currently funded by the NIH as a member of the Collaborative Initiative on Fetal Alcohol Spectrum Disorders consortium. He has an active research interest in FASD, in particular the impact of alcohol on the developing face and brain, and has been developing tools using machine learning and 3D imaging to identify those with subtle facial differences. After over a decade of working in the FASD field, Dr Suttie’s primary focus is to deliver clinical tools that assist with identifying alcohol-exposed individuals using low-cost 3D facial imaging combined with neurocognitive assessment.
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Hybrid Option:
Please note that these meetings are closed meetings and only open to members of the University of Oxford to encourage sharing of new and unpublished data. Please respect our speakers and do not share the link with anyone outside of the university. The aim of these seminars is to increase interaction between people working in Phenome across the University so we encourage in person attendance wherever possible. All members of the University are welcome to join, please let reception at BDI know you’re here for the seminar and sign-in. We hope you can join us!
There is time for discussion over, tea, coffee and pastries after the talks.
Microsoft Teams meeting –
Meeting ID: 316 295 580 423
Passcode: WsoyL2
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Date:
13 March 2024, 14:00
Venue:
Big Data Institute, Old Road Campus OX3 7LF
Venue Details:
Seminar Room 0
Speaker:
Dr Mike Suttie (University of Oxford)
Organising department:
Big Data Institute (NDPH)
Organiser:
Aiden Doherty (University of Oxford)
Organiser contact email address:
sumeeta.maheshwari@ndph.ox.ac.uk
Part of:
Digital Phenotying
Booking required?:
Not required
Cost:
free
Audience:
Members of the University only
Editor:
Sumeeta Maheshwari
