Learning to Compare Longitudinal Images

Understand

Longitudinal studies, where a series of images from the same set of individuals are acquired at different time-points, represent a popular technique for studying and characterizing temporal dynamics in biomedical applications.

• The classical approach for longitudinal comparison involves normalizing for nuisance variations, such as image orientation or contrast differences, via pre-processing.
• Statistical analysis is, in turn, conducted to detect changes of interest, either at the individual or population level.
• This classical approach can suffer from pre-processing issues and limitations of the statistical modeling.