A JAVA-based DICOM server with integration of clinical findings and DICOM-conform data encryption

Bernarding, Johannes; Thiel, Andreas; Grzesik, Alexander

doi:10.1016/s1386-5056(01)00213-1

Cited by 25 publications

(10 citation statements)

References 10 publications

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“…Regarding 3D viewing, OsiriX Lite and MicroView fulfill the most criteria of standalone (both 5 criteria), Xero Conquest, DCM4CHEE or Orthanc PACS for WADO required, 7 comprehensive documentation in wiki, 8 Forum offline, 9 Displays only first slice of test data, 10 Using startup macro feature, 11 Saves annotations in other formats, but not DICOM, 12 Requires Oviyam, 13 Designated, but not working, 14 Annotated objects could not be reopened, 15 Requires DCM4CHEE PACS, 16 Runs only with Google Chrome, Images cannot be stored, 34 Seems to be not working correctly in demo (3 criteria) of web-based, and ImageJ as well as MIPAV (both 5 criteria) of platform-independent viewers.…”

Section: Resultsmentioning

confidence: 99%

“…Integrating data, context, and functionality of components improve the workflow of medical personal, particularly in clinical trials [5]. Various approaches have been published, where DICOM viewer tools have been integrated into system architectures [11][12][13]. For this, a compatible platform and the availability of interfaces are essential.…”

Section: Introductionmentioning

confidence: 99%

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A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging

2015

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The digital imaging and communications in medicine (DICOM) protocol is the leading standard for image data management in healthcare. Imaging biomarkers and image-based surrogate endpoints in clinical trials and medical registries require DICOM viewer software with advanced functionality for visualization and interfaces for integration. In this paper, a comprehensive evaluation of 28 DICOM viewers is performed. The evaluation criteria are obtained from application scenarios in clinical research rather than patient care. They include (i) platform, (ii) interface, (iii) support, (iv) twodimensional (2D), and (v) three-dimensional (3D) viewing. On the average, 4.48 and 1.43 of overall 8 2D and 5 3D image viewing criteria are satisfied, respectively. Suitable DICOM interfaces for central viewing in hospitals are provided by GingkoCADx, MIPAV, and OsiriX Lite. The viewers ImageJ, MicroView, MIPAV, and OsiriX Lite offer all included 3D-rendering features for advanced viewing. Interfaces needed for decentral viewing in web-based systems are offered by Oviyam, Weasis, and Xero. Focusing on open source components, MIPAV is the best candidate for 3D imaging as well as DICOM communication. Weasis is superior for workflow optimization in clinical trials. Our evaluation shows that advanced visualization and suitable interfaces can also be found in the open source field and not only in commercial products.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging

2015

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“…Some implementations of this approach have already been tested. The metadata approach has also been used to introduce confidentiality, using DICOM header data to encrypt the images [11].…”

Section: A Metadatamentioning

confidence: 99%

Integrity vérification of medical images using blind forensic method

Govarthini¹,

Vadivel²

2014

International Conference on Information Communication and Embedded Systems (ICICES2014)

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Digital images have been used in emerging applications, where their authenticity is quite importance. This proves to be problematic due to the widespread availability of digital image editing software. As a result, there is a great need for the development of reliable techniques for verifying the integrity of digital images. In this paper, we propose a novel technique based on blind forensic method to attest the image authenticity. This paper presents the efficient method of digital blind forensics within the medical imaging field with the objective to detect whether an image has been modified by some processing. It compares two image features: the histogram statistics of reorganized block-based discrete cosine transform coefficients, originally proposed for steganalysis purposes, and the histogram statistics of reorganized block-based Tchebichef moments. Both features serve as input of a set of support vector machine classifiers built in order to discriminate tampered images from original ones as well as to identify the nature of the global modification.

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“…The widespread transmission of images and videos often makes it necessary to find ways to secure them. As an example, applications like confidential transmission, video surveillance, cultural heritage, military and medical applications (Bernarding et al, 2001;Norcen et al, 2003) need security functionalities. Data security has thus become an important and integral component of modern day research on multimedia information.…”

Section: Introductionmentioning

confidence: 99%

Securing color information of an image by concealing the color palette

Chaumont

Puech

Lahanier

2013

Journal of Systems and Software

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a b s t r a c tThis paper deals with a method to protect the color information of images by providing free access to the corresponding gray level images. Only with a secret key and the gray level images, it is then possible to view the images in color. The approach is based on a color reordering algorithm after a quantization step. Based on a layer scanning algorithm, the color reordering generates gray level images and makes it possible to embed the color palette into the gray level images using a data hiding algorithm. This work was carried out in the framework of a project aimed at providing limited access to the private digital painting database of the Louvre Museum in Paris, France.

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A JAVA-based DICOM server with integration of clinical findings and DICOM-conform data encryption

Cited by 25 publications

References 10 publications

A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging

A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging

Integrity vérification of medical images using blind forensic method

Securing color information of an image by concealing the color palette

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A JAVA-based DICOM server with integration of clinical findings and DICOM-conform data encryption

Cited by 25 publications

References 10 publications

A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging

A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging

Integrity v&#x00E9;rification of medical images using blind forensic method

Securing color information of an image by concealing the color palette

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Product

Resources

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Integrity vérification of medical images using blind forensic method