title: Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine.
abstract: Embedding of diagnostic and health care information requires secure encryption and watermarking. This research paper presents a comprehensive study for the behavior of some well established watermarking algorithms in frequency domain for the preservation of stroke-based diagnostic parameters. Two different sets of watermarking algorithms namely: two correlation-based (binary logo hiding) and two singular value decomposition (SVD)-based (gray logo hiding) watermarking algorithms are used for embedding ownership logo. The diagnostic parameters in atherosclerotic plaque ultrasound video are namely: (a) bulb identification and recognition which consists of identifying the bulb edge points in far and near carotid walls; (b) carotid bulb diameter; and (c) carotid lumen thickness all along the carotid artery. The tested data set consists of carotid atherosclerotic movies taken under IRB protocol from University of Indiana Hospital, USA-AtheroPoint™ (Roseville, CA, USA) joint pilot study. ROC (receiver operating characteristic) analysis was performed on the bulb detection process that showed an accuracy and sensitivity of 100 % each, respectively. The diagnostic preservation (DPsystem) for SVD-based approach was above 99 % with PSNR (Peak signal-to-noise ratio) above 41, ensuring the retention of diagnostic parameter devalorization as an effect of watermarking. Thus, the fully automated proposed system proved to be an efficient method for watermarking the atherosclerotic ultrasound video for stroke application.
authors: Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India.|Department of Information Technology, Techno India College of Technology, Kolkata, India.|Point of Care Devices, Global Biomedical Technologies, Inc, Roseville, CA, USA.
authors: Nilanjan
authors: N
authors: Dey
authors: Department of Information Technology, Techno India College of Technology, Kolkata, India.
authors: Soumyo
authors: S
authors: Bose
authors: Department of ECE, Kalyani Government Engineering College, Bengal, India.
authors: Achintya
authors: A
authors: Das
authors: Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India.
authors: Sheli Sinha
authors: SS
authors: Chaudhuri
authors: Radiology Department, zienda Ospedaliero Universitaria (A.O.U.) di Cagliari, Via Roma, 67, 56126, Pisa, PI, Italy.
authors: Luca
authors: L
authors: Saba
authors: CorVasc Vascular Laboratory, 8433 Harcourt Rd #100, Indianapolis, IN, USA.
authors: Shoaib
authors: S
authors: Shafique
authors: Vascular Screening and Diagnostic Centre, London, UK.|Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus.
authors: Andrew
authors: A
authors: Nicolaides
authors: Point of Care Devices, Global Biomedical Technologies, Inc, Roseville, CA, USA. jasjit.suri@atheropoint.com.|Diagnostic and Monitoring Division, AtheroPoint™ LLC, Roseville, CA, USA. jasjit.suri@atheropoint.com.|Electrical Engineering Department (Affl.), Idaho State University, 921 S 8th Ave, Pocatello, ID, 83201, USA. jasjit.suri@atheropoint.com.
authors: Jasjit S
authors: JS
authors: Suri
mesh_terms: D000465:Algorithms; D002339:Carotid Arteries / Q000000981:diagnostic imaging*; D016494:Computer Security; D006801:Humans; D058226:Plaque, Atherosclerotic / Q000000981:diagnostic imaging*; D059629:Signal-To-Noise Ratio; D020521:Stroke / Q000000981:diagnostic imaging*; D017216:Telemedicine / Q000379:methods*; D014463:Ultrasonography
keywords: Atherosclerosis; Bulb detection; Bulb diameter; Carotid video; Operating characteristics; Peak signal-to-noise ratio; Stroke; Telemedicine; Watermarking