Automatic personal identification using a single CT image.

ABSTRACT:

Objectives

Computer vision (CV) mimics human vision, enabling computers to automatically compare radiological images from recent examinations with a large image database for unique identification, crucial in emergency scenarios involving unknown patients or deceased individuals. This study aims to extend a CV-based personal identification method from orthopantomograms (OPGs) to computed tomography (CT) examinations using single CT slices.

Methods

The study analyzed 819 cranial computed tomography (CCT) examinations from 722 individuals, focusing on single CT slices from six anatomical regions to explore their potential for CV-based personal identification in 69 procedures. CV automatically identifies and describes interesting features in images, which can be recognized in a

SUBMITTER: Heinrich A 

PROVIDER: S-EPMC12021953 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature