PMID- 27295695
OWN - NLM
STAT- MEDLINE
DCOM- 20180108
LR  - 20180222
IS  - 2168-2208 (Electronic)
IS  - 2168-2194 (Linking)
VI  - 21
IP  - 4
DP  - 2017 Jul
TI  - Computed Tomography Image Origin Identification Based on Original Sensor Pattern 
      Noise and 3-D Image Reconstruction Algorithm Footprints.
PG  - 1039-1048
LID - 10.1109/JBHI.2016.2575398 [doi]
AB  - In this paper, we focus on the "blind" identification of the computed tomography 
      (CT) scanner that has produced a CT image. To do so, we propose a set of noise 
      features derived from the image chain acquisition and which can be used as 
      CT-scanner footprint. Basically, we propose two approaches. The first one aims at 
      identifying a CT scanner based on an original sensor pattern noise (OSPN) that is 
      intrinsic to the X-ray detectors. The second one identifies an acquisition system 
      based on the way this noise is modified by its three-dimensional (3-D) image 
      reconstruction algorithm. As these reconstruction algorithms are manufacturer 
      dependent and kept secret, our features are used as input to train a support 
      vector machine (SVM) based classifier to discriminate acquisition systems. 
      Experiments conducted on images issued from 15 different CT-scanner models of 4 
      distinct manufacturers demonstrate that our system identifies the origin of one 
      CT image with a detection rate of at least 94% and that it achieves better 
      performance than sensor pattern noise (SPN) based strategy proposed for general 
      public camera devices.
FAU - Duan, Yuping
AU  - Duan Y
FAU - Bouslimi, Dalel
AU  - Bouslimi D
FAU - Yang, Guanyu
AU  - Yang G
FAU - Shu, Huazhong
AU  - Shu H
FAU - Coatrieux, Gouenou
AU  - Coatrieux G
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20160608
PL  - United States
TA  - IEEE J Biomed Health Inform
JT  - IEEE journal of biomedical and health informatics
JID - 101604520
SB  - IM
MH  - Algorithms
MH  - Humans
MH  - Imaging, Three-Dimensional/*methods
MH  - Support Vector Machine
MH  - Tomography, X-Ray Computed/*methods
EDAT- 2016/06/14 06:00
MHDA- 2018/01/09 06:00
CRDT- 2016/06/14 06:00
PHST- 2016/06/14 06:00 [pubmed]
PHST- 2018/01/09 06:00 [medline]
PHST- 2016/06/14 06:00 [entrez]
AID - 10.1109/JBHI.2016.2575398 [doi]
PST - ppublish
SO  - IEEE J Biomed Health Inform. 2017 Jul;21(4):1039-1048. doi: 
      10.1109/JBHI.2016.2575398. Epub 2016 Jun 8.