CT-Scanner identification based on sensor noise analysis

Anas Kharboutly 1 William Puech 1 Gérard Subsol 1 Denis Hoa 2
1 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Medical image processing is considered as an important topic in the domain of image processing. It is used to help the doctors to improve and speed up the diagnosis process. In particular, computed tomography scanners (CT-Scanner) are used to create cross-sectional medical 3D images of bones. In this paper, we propose a method for CT-Scanner identification based on the sensor noise analysis. We built the reference noise pattern for each CT-Scanner from its 3D image, then we correlated the tested 3D images with each reference noise pattern in order to identify the corresponding CT-Scanner. We used a wavelet-based Wiener filter approach to extract the noise. Experimental results were applied on eight 3D images of 100 slices from different CT-Scanners, and we were able to identify each CT-Scanner separately.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01379581
Contributor : William Puech <>
Submitted on : Tuesday, October 11, 2016 - 5:11:33 PM
Last modification on : Sunday, June 30, 2019 - 4:04:42 PM

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Anas Kharboutly, William Puech, Gérard Subsol, Denis Hoa. CT-Scanner identification based on sensor noise analysis. EUVIP: European Workshop on Visual Information Processing, Dec 2014, Paris, France. ⟨10.1109/EUVIP.2014.7018385⟩. ⟨lirmm-01379581⟩

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