Project title: "Development of Data-driven Prediction Model using 3D Multimodal Deep Neural Networks for Estimating the Evolution of White Matter Hyperintensities Associated with Small Vessel Disease in Brain MRI"

Collaborating institutions: RIKEN Center for Brain Science (Japan), School of Informatics at The University of Edinburgh

About the project

Project title: "Development of Data-driven Prediction Model using 3D Multimodal Deep Neural Networks for Estimating the Evolution of White Matter Hyperintensities Associated with Small Vessel Disease in Brain MRI".

Prognosis of vascular disease is a need, and this collaboration is primarily focused on developing data-driven solutions to build predictive models for the progression of small vessel disease (SVD), a vascular disease that underpins ageing and dementia progression, using MRI scans as the main diagnostic tool. Specifically, the aim of this project is to develop algorithms for predicting the evolution of white matter hyperintensities, which are the key feature of this progressive disease.

Collaborating scientists

RIKEN Center for Brain Science (Japan)

The University of Edinburgh (UK)

Dr Muhammad Febrian Rachmadi

Special Postdoctoral Researcher

Email Address: febrian.rachmadi@riken.jp

Dr Maria Valdes-Hernandez

Row Fogo Lecturer in Medical Image Analysis

Affiliated departments:

Row Fogo Centre for Research into Ageing and the Brain
Edinburgh Imaging
Centre for Clinical Brain Sciences

Email address: M.Valdes-Hernan@ed.ac.uk

Professor Taku Komura

Professor of Computer Graphics

Affiliated departments:

Institute of Perception, Action and Behaviour
School of Informatics

Email address: TKomura@inf.ed.ac.uk

Awarded grants

This project is funded by the Grants-in-Aid for Scientific Research (KAKENHI) Program (project no 20K23356) - awarded 2,861,000 ¥ Jan 2021- Dec 2022.

Publications

Publication title: "Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities"

Authors: Muhammad Febrian Rachmadi, Maria del C. Valdes-Hernandez, Rizal Maulana, Joanna Wardlaw, Stephen Makin, and Henrik Skibbe

Publication date: September 2021

Publication link on Springer (external website)

Recognitions and awards

Above publication received the Best Publication Award at 24^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021).

Developed algorithms

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