title: Computed tomography image source identification by discriminating CT-scanner image reconstruction process.
abstract: In this paper, we focus on the identification of the Computed Tomography (CT) scanner that has produced a CT image. To do so, we propose to discriminate CT-Scanner systems based on their reconstruction process, the footprint or the signature of which can be established based on the way they modify the intrinsic sensor noise of X-ray detectors. After having analyzed how the sensor noise is modified in the reconstruction process, we define a set of image features so as to serve as CT acquisition system footprint. These features are used to train a SVM based classifier. Experiments conducted on images issued from 15 different CT-Scanner models of 4 distinct manufacturers show it is possible to identify the origin of one CT image with high accuracy.
authors.forename: Y
authors.initials: Y
authors.lastname: Duan
authors.forename: G
authors.initials: G
authors.lastname: Coatrieux
authors.forename: H Z
authors.initials: HZ
authors.lastname: Shu
mesh_terms: D007091:Image Processing, Computer-Assisted; D019047:Phantoms, Imaging; D014057:Tomography, X-Ray Computed