A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study

Petter Minne, Alvaro Fernandez-Quilez*, Dag Aarsland, Daniel Ferreira, Eric Westman, Afina W. Lemstra, Mara ten Kate, Alessandro Padovani, Irene Rektorova, Laura Bonanni, Flavio Mariano Nobili, Milica G. Kramberger, John-Paul Taylor, Jakub Hort, Jon Snaedal, Frederic Blanc, Angelo Antonini, Ketil Oppedal

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Every year around 10 million people are diagnosed with dementia worldwide. Higher life expectancy and population growth could inflate this number even further in the near future. Alzheimer's disease (AD) is one of the primary and most frequently diagnosed dementia disease in elderly subjects. On the other hand, dementia with Lewy Bodies (DLB) is the third most common cause of dementia. A timely and accurate diagnosis of dementia is critical for patients' management and treatment. However, its diagnostic is often challenging due to overlapping symptoms between the different forms of thee disease. Deep learning (DL) combined with magnetic resonance imaging (MRI) has shown potential improving the diagnostic accuracy of several neurodegenerative diseases. In spite of it, DL methods heavily rely on the availability of annotated data. Classic augmentation techniques such as translation are commonly used to increase data availability. In addition, synthetic samples obtained through generative adversarial networks (GAN) are becoming an alternative to classic augmentation. Such techniques are well-known and explored for 2D images, but little is known about their effects in a 3D setting. In this work, we explore the effects of 3D classic augmentation and 3D GAN-based augmentation to classify between AD, DLB and control subjects.
Original languageEnglish
Title of host publicationMedical Imaging 2022
Subtitle of host publicationComputer-Aided Diagnosis
EditorsKaren Drukker, Khan M. Iftekharuddin
ISBN (Electronic)9781510649415
Publication statusPublished - 2022
EventMedical Imaging 2022: Computer-Aided Diagnosis - Virtual, Online
Duration: 21 Mar 202227 Mar 2022

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2022: Computer-Aided Diagnosis
CityVirtual, Online

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