Evidence map›Paper›PMID 33507698›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

Data Integrity of Radiology Images Over an Insecure Network Using AES Technique.

Pavithra Prabhu, Manjunath K N, Chitra Rajarama, Anjali Kulkarni, Rajendra Kurady

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 54% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Pavithra PrabhuDepartment of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0001-7891-9066
Manjunath K NDepartment of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0001-8239-4047
Chitra RajaramaDepartment of Information Science and Engineering, NIE Institute of Technology, Mysuru, India.ORCID 0000-0002-0763-6840
Anjali KulkarniIndependent Consultant, AI in Radiation Oncology, Bengaluru, India.
Rajendra KuradyResearch and Development, RTWO Healthcare Private LLP, Mahalakshmipuram, Bengaluru, India.
Manipal Academy of Higher Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile transmitting the medical images in radiology information systems the adversary effect can break the CIA (Confidentiality, Integrity, and Availability) triads of information security. The objective of the study was to transmit the complete set of image objects in a dataset without data integrity violation.

methodsIn this paper a hybrid cryptographic technique which combines the prime details from the patient dataset (stack of axial 2D images) and the Advanced Encryption Standard (AES) method has been proposed. The steps include a) Creating an artificial X-ray image (DRR) from the 3D volume, b) dividing the DRR image in x and y directions equally into four regions, c) applying the zig-zag pattern to each quadrant, and d) encryption of each quadrant with block cipher mode using the AES algorithm. After dataset transmission the DRR image was regenerated at the receiver and compared each of the deciphered blocks (transmitted ones) using the histogram technique.

resultsThe technique was tested on CT and MRI scans of sixty datasets. The image injection techniques, such as adding and deleting an image from the dataset and modifying the image pixels, were tested. The results were validated statistically using mean square error and histogram matching techniques.

conclusionThe combination of the DRR and the AES technique has ensured the secured transmission of the entire dataset and not an individual image.

Indexed as

AlgorithmsComputer SecurityHumansImage Processing, Computer-AssistedInternetMagnetic Resonance ImagingNeoplasmsPrognosisRadiologyTomography, X-Ray ComputedAES techniqueBlock CipherDigitally Reconstructed RadiographEncryptionZig-Zag pattern

Identifiers

PMID33507698
PMCPMC8184166
OpenAlexW3123274345

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.