Abstract:Purpose:Deformable Image Registration (DIR) is gaining wider clinical acceptance in radiation oncology. The aim of this work is to characterise a DIR algorithm on publically available 4DCT lung images, such that comparison can be performed against other algorithms. We propose an evaluation method of registration accuracy that takes into account the initial misregistration of the datasets.Methods:The “DIR Validation dataset” (http://www.creatis.insa‐lyon.fr/rio/dir_validation_data) provides benchmark data for e… Show more
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