Sarah Frederike Brose, Karin Binder, Martin R Fischer, Martin Reincke, Leah T Braun, Ralf Schmidmaier
Bayesian versus diagnostic information in physician-patient communication: Effects of direction of statistical information and presentation of visualization
PloS one
longitudinal hippocampal atrophy commonly used progressive marker assisting clinical diagnose dementia however precise quantification atrophy limited longitudinal segmentation errors resulting mri artifacts across multiple independent scans accurately segment hippocampal morphology longitudinal 3t t1weighted mr images propose diffeomorphic geodesic guided deep learning method called geolongseg mitigate longitudinal variabilities unrelated diseases enhancing intraindividual morphological consistency specifically integrate geodesic shape regression evolutional model estimates smooth deformation process anatomical shapes twostage segmentation network adopt 3d unet firststage network enhanced attention mechanism independent segmentation hippocampal shape evolutional trajectory estimated geodesic shape regression fed second network refine independent segmentation verify geolongseg outperforms four stateoftheart segmentation pipelines longitudinal morphological consistency evaluated testretest reliability variance ratio atrophy trajectories assessing hippocampal atrophy longitudinal data alzheimers disease neuroimaging initiative adni results based geolongseg exhibit spatial temporal local atrophy bilateral hippocampi dementia patients features derived geolongseg segmentation exhibit greatest discriminatory capability compared outcomes methods distinguishing patients normal controls overall geolongseg provides accurate efficient segmentation network extracting hippocampal morphology longitudinal mr images assist precise atrophy measurement hippocampus early stage dementia