Medical Image Tamper Detection Based on Passive Image Authentication.
Telemedicine has gained popularity in recent years. Medical images can be transferred over the Internet to enable the telediagnosis between medical staffs and to make the patient's history accessible to medical staff from anywhere. Therefore, integrity protection of the medical image is a serious co...
| Publicado en: | Journal of Digital Imaging Vol. 30; no. 6; pp. 695 - 710 |
|---|---|
| Autores principales: | , , , , |
| Formato: | diagnostic images equations & formulas pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2017
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=126169916&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126169916 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2017 vid: 30 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 126169916 126169916 144081716 126169916 10.1007/s10278-017-9961-x 126169916 ppf: 695 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Medical Image Tamper Detection Based on Passive Image Authentication. aug: au: Ulutas, Guzin Ustubioglu, Arda Ustubioglu, Beste Nabiyev, Vasif Ulutas, Mustafa affil: Computer Engineering Department , Karadeniz Technical University , Trabzon Turkey sug: subj: Diagnostic Imaging Telemedicine Teleradiology Data Security Methods Internet Image Processing, Computer Assisted Quality Assurance Access to Information Information Management ab: Telemedicine has gained popularity in recent years. Medical images can be transferred over the Internet to enable the telediagnosis between medical staffs and to make the patient's history accessible to medical staff from anywhere. Therefore, integrity protection of the medical image is a serious concern due to the broadcast nature of the Internet. Some watermarking techniques are proposed to control the integrity of medical images. However, they require embedding of extra information (watermark) into image before transmission. It decreases visual quality of the medical image and can cause false diagnosis. The proposed method uses passive image authentication mechanism to detect the tampered regions on medical images. Structural texture information is obtained from the medical image by using local binary pattern rotation invariant (LBPROT) to make the keypoint extraction techniques more successful. Keypoints on the texture image are obtained with scale invariant feature transform (SIFT). Tampered regions are detected by the method by matching the keypoints. The method improves the keypoint-based passive image authentication mechanism (they do not detect tampering when the smooth region is used for covering an object) by using LBPROT before keypoint extraction because smooth regions also have texture information. Experimental results show that the method detects tampered regions on the medical images even if the forged image has undergone some attacks (Gaussian blurring/additive white Gaussian noise) or the forged regions are scaled/rotated before pasting. pubtype: Academic Journal doctype: diagnostic images equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|