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The functional analysis of the left atrium (LA) is important for evaluatingcardiac health and understanding diseases like atrial fibrillation. Cine MRI isideally placed for the detailed 3D characterisation of LA motion anddeformation, but it is lacking appropriate acquisition and analysis tools. Inthis paper, we present Analysis for Left Atrial Displacements and Deformationsusing unsupervIsed neural Networks, \textit{Aladdin}, to automatically andreliably characterise regional LA deformations from high-resolution 3D CineMRI. The tool includes: an online few-shot segmentation network (Aladdin-S), anonline unsupervised image registration network (Aladdin-R), and a straincalculations pipeline tailored to the LA. We create maps of LA DisplacementVector Field (DVF) magnitude and LA principal strain values from images of 10healthy volunteers and 8 patients with cardiovascular disease (CVD). Weadditionally create an atlas of these biomarkers using the data from thehealthy volunteers. Aladdin is able to accurately track the LA wall across thecardiac cycle and characterize its motion and deformation. The overall DVFmagnitude and principal strain values are significantly higher in the healthygroup vs CVD patients: $2.85 \pm 1.59~mm$ and $0.09 \pm 0.05$ vs $1.96 \pm0.74~mm$ and $0.03 \pm 0.04$, respectively. The time course of these metrics isalso different in the two groups, with a more marked active contraction phaseobserved in the healthy cohort. Finally, utilizing the LA atlas allows us toidentify regional deviations from the population distribution that may indicatefocal tissue abnormalities. The proposed tool for the quantification of novelregional LA deformation biomarkers should have important clinical applications.The source code, anonymized images, generated maps and atlas are publiclyavailable: https://github.com/cgalaz01/aladdin_cmr_la.

High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D CINE MRI and Unsupervised Neural Networks