Evidence map›Paper›PMID 26860914›Full record

ArticleJournal of medical systems2016

Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine.

Nilanjan Dey, Soumyo Bose, Achintya Das, Sheli Sinha Chaudhuri, Luca Saba, Shoaib Shafique, Andrew Nicolaides, Jasjit S Suri

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nilanjan DeyDepartment of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India.
Soumyo BoseDepartment of Information Technology, Techno India College of Technology, Kolkata, India.
Achintya DasDepartment of ECE, Kalyani Government Engineering College, Bengal, India.
Sheli Sinha ChaudhuriDepartment of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India.
Luca SabaRadiology Department, zienda Ospedaliero Universitaria (A.O.U.) di Cagliari, Via Roma, 67, 56126, Pisa, PI, Italy.
Shoaib ShafiqueCorVasc Vascular Laboratory, 8433 Harcourt Rd #100, Indianapolis, IN, USA.
Andrew NicolaidesVascular Screening and Diagnostic Centre, London, UK.
Jasjit S SuriPoint of Care Devices, Global Biomedical Technologies, Inc, Roseville, CA, USA. jasjit.suri@atheropoint.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AlgorithmsCarotid ArteriesComputer SecurityHumansPlaque, AtheroscleroticSignal-To-Noise RatioStrokeTelemedicineUltrasonographyAtherosclerosisBulb detectionBulb diameterCarotid videoOperating characteristicsPeak signal-to-noise ratioStrokeTelemedicineWatermarking

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.