Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.

Florian Dubost,Marleen de Bruijne,Marco Nardin,Adrian V Dalca,Kathleen L Donahue,Anne-Katrin Giese,Mark R Etherton,Ona Wu,Marius de Groot,Wiro Niessen,Meike Vernooij,Natalia S Rost,Markus D Schirmer

Medical Image Analysis（2020）

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摘要

•A deep learning network to segment the full ventricular system in clinical MRI.•Automated assessment of registration quality using ventricle overlap.•A multi-atlas registration framework using age-specific atlases.•Evaluation on 935 clinical scans including multi-center data of 12 sites.•The proposed registration quality metric can be used to refine maps of lesion burden.

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关键词

Registration,ventricles,Segmentation,Deep learning,Quality,Multi-atlas,age,White matter hyperintensity,ADNI

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