Literature DB >> 33275586

DICOM Integration Libraries for Medical Image Interoperability: A Technical Review.

Manisha Mantri, Shruti Taran, Gaur Sunder.   

Abstract

Medical images support diagnostic care and research in medicine. The acquisition and availability of medical images in digital form can facilitate quick diagnosis, ease of access, continuity of care, analysis and contribute to modern medical research. Digital Imaging and Communications in Medicine (DICOM) is a universal standard that promises standardized representation and exchange of medical images and related information from various radiological and waveform sources. DICOM software development kits or tools or libraries make it easier to implement DICOM standard in healthcare applications. There are several such API libraries available from different providers that promise DICOM integration. In this paper, we explore available DICOM API libraries and conduct a comparative study between a set of selected libraries on the four major criteria (DICOM features, technical aspects, the robustness of the library, and the level of user support available). The aim is to provide a complete picture of options available that can help in finding a best-fit open-source DICOM standard integration API library for developing standardized and interoperable healthcare applications.

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Year:  2022        PMID: 33275586     DOI: 10.1109/RBME.2020.3042642

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  2 in total

1.  Development of a novel program for conversion from tetrahedral-mesh-based phantoms to DICOM dataset for radiation treatment planning: TET2DICOM.

Authors:  Bo-Wi Cheon; Se Hyung Lee; Min Cheol Han; Chul Hee Min; Haegin Han; Chan Hyeong Kim; Jin Sung Kim
Journal:  J Appl Clin Med Phys       Date:  2021-10-11       Impact factor: 2.102

Review 2.  The Role of Pathology-Based Methods in Qualitative and Quantitative Approaches to Cancer Immunotherapy.

Authors:  Olga Kuczkiewicz-Siemion; Kamil Sokół; Beata Puton; Aneta Borkowska; Anna Szumera-Ciećkiewicz
Journal:  Cancers (Basel)       Date:  2022-08-08       Impact factor: 6.575

  2 in total

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