Automatic segmentation of mandibular canal in cone beam CT images using conditional statistical shape model and fast marching

Abstract

Accurate segmentation of the mandibular canal in cone beam CT data is a prerequisite for implant surgical planning. In this article, a new segmentation method based on the combination of anatomical and statistical information is presented to segment mandibular canal in CBCT scans. Generally, embedding shape information in segmentation models is challenging… (More)
DOI: 10.1007/s11548-016-1484-2

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