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      Free DICOM-Viewers for Veterinary Medicine : Survey and Comparison of Functionality and User-Friendliness of Medical Imaging PACS-DICOM-Viewer Freeware for Specific Use in Veterinary Medicine Practices

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          Abstract

          There is increasing prevalence of digital diagnostic imaging in veterinary medicine with a progressive need to use medical imaging software. As Digital Imaging and Communications in Medicine (DICOM)-viewers for veterinary use do not require medical device approval in many countries, freeware viewers might be a practical alternative. The aim of this study was to identify and evaluate free DICOM-viewer software for veterinary purposes. The functionality and user-friendliness of various DICOM-viewers from the internet were analyzed and compared. Inclusion criteria for the evaluation were free availability, PACS (picture archiving and communication system)-connectivity, and stand-alone and client-based software. Based on this, eight viewers were found: Ginkgo CADx, Horos, K-PACS, MAYAM, MITO, OsiriX Lite, RadiAnt, Synedra personal. In these DICOM-viewers, 14 core tools were tested and rated on a score from 1 to 10 by multiple observers with different levels of training, using studies of four imaging modalities. Criteria were functionality and user-friendliness. For each viewer, the total number of a predefined set of 47 important tools was counted. The ranking based on functionality and user-friendliness of 14 core tools (mean score in brackets) was as follows: 1. Horos/OsiriX Lite (8.96), 2. RadiAnt (8.90), 3. K-PACS (8.02), 4. Synedra (7.43), 5. MAYAM (6.05), 6. Ginkgo CADx (5.53), 7. MITO (3.74). The DICOM-viewers offered between 20 and 44 tools of the predefined important tool set and are sufficient for most veterinary purposes. An increasing number of tools did not necessarily impair user-friendliness, if the user interface is well designed. Based on the results of this study, veterinarians will find suitable free DICOM-viewers for their individual needs. In combination with PACS-freeware, this allows veterinary practices to run a low-budget digital imaging environment.

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          Most cited references26

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          Understanding and Using DICOM, the Data Interchange Standard for Biomedical Imaging

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            Introduction to the ACR-NEMA DICOM standard.

            In 1982, the American College of Radiology (ACR) and the National Electrical Manufacturers Association (NEMA) formed a committee to develop standards for the interconnection of digital imaging devices. Version 1.0 of the standard, published in 1985, specifies a hardware interface supporting point-to-point (not network) image transmission, a data dictionary (a set of rules for encoding information), and a set of commands to initiate transactions. Version 2.0, published in 1988, also addresses point-to-point image transmission and provides semantic rules by which messages (streams of bits representing information in transit from one device to another) are organized. Version 3.0, also referred to as DICOM (Digital Imaging and Communications in Medicine), will be finalized in 1992. The DICOM standard encourages open systems interconnection of imaging equipment over standard networks, while maintaining compatibility with earlier point-to-point connection standards. The DICOM standard conforms fully with the International Standards Organization reference model for network communications (ISORM), addresses the issue of conformance, and incorporates the concept of object-oriented design.
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              Open source software in a practical approach for post processing of radiologic images.

              The purpose of this paper is to evaluate the use of open source software (OSS) to process DICOM images.
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                Author and article information

                Contributors
                bruehschwein@lmu.de
                Journal
                J Digit Imaging
                J Digit Imaging
                Journal of Digital Imaging
                Springer International Publishing (Cham )
                0897-1889
                1618-727X
                11 March 2019
                February 2020
                : 33
                : 1
                : 54-63
                Affiliations
                [1 ] GRID grid.5252.0, ISNI 0000 0004 1936 973X, Clinic of Small Animal Surgery and Reproduction, Centre for Clinical Veterinary Medicine, , Veterinary Faculty, LMU Munich, ; Veterinärstrasse 13, 80539 Munich, Germany
                [2 ] GRID grid.5252.0, ISNI 0000 0004 1936 973X, Institute of Anatomy, Histology and Embryology, Department of Veterinary Sciences, , Veterinary Faculty, LMU Munich, ; Munich, Germany
                Author information
                http://orcid.org/0000-0002-7833-8031
                Article
                PMC7064695 PMC7064695 7064695 194
                10.1007/s10278-019-00194-3
                7064695
                30859340
                7e3a48b1-79c2-4ba5-a392-e159d8c92c6d
                © Society for Imaging Informatics in Medicine 2019
                History
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100005722, Ludwig-Maximilians-Universität München;
                Award ID: VetResearch2016
                Categories
                Article
                Custom metadata
                © Society for Imaging Informatics in Medicine 2020

                Diagnostic ultrasound (US),Magnetic resonance imaging (MRI),Computed tomography (CT),Digital radiography (DX),Diagnostic imaging,Diagnostic radiology,Imaging software,Digital Imaging and Communications in Medicine (DICOM)

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