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Li, Jimmy Kuan-Jung

doi:10.5405/jmbe.30.4.02

Cited by 3 publications

(2 citation statements)

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“…5 a 2DPR IOD modules (excerpt). Complete overview of all modules of PR information object can be found elsewhere [4, 5]. b Excerpt from DICOM Data Dictionary.…”

Section: Methodsmentioning

confidence: 99%

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Systematic Parameterization, Storage, and Representation of Volumetric DICOM Data

Fischer¹,

Selver

Dıcle

et al. 2015

J. Med. Biol. Eng.

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Tomographic medical imaging systems produce hundreds to thousands of slices, enabling three-dimensional (3D) analysis. Radiologists process these images through various tools and techniques in order to generate 3D renderings for various applications, such as surgical planning, medical education, and volumetric measurements. To save and store these visualizations, current systems use snapshots or video exporting, which prevents further optimizations and requires the storage of significant additional data. The Grayscale Softcopy Presentation State extension of the Digital Imaging and Communications in Medicine (DICOM) standard resolves this issue for two-dimensional (2D) data by introducing an extensive set of parameters, namely 2D Presentation States (2DPR), that describe how an image should be displayed. 2DPR allows storing these parameters instead of storing parameter applied images, which cause unnecessary duplication of the image data. Since there is currently no corresponding extension for 3D data, in this study, a DICOM-compliant object called 3D presentation states (3DPR) is proposed for the parameterization and storage of 3D medical volumes. To accomplish this, the 3D medical visualization process is divided into four tasks, namely pre-processing, segmentation, post-processing, and rendering. The important parameters of each task are determined. Special focus is given to the compression of segmented data, parameterization of the rendering process, and DICOM-compliant implementation of the 3DPR object. The use of 3DPR was tested in a radiology department on three clinical cases, which require multiple segmentations and visualizations during the workflow of radiologists. The results show that 3DPR can effectively simplify the workload of physicians by directly regenerating 3D renderings without repeating intermediate tasks, increase efficiency by preserving all user interactions, and provide efficient storage as well as transfer of visualized data.Electronic supplementary materialThe online version of this article (doi:10.1007/s40846-015-0097-5) contains supplementary material, which is available to authorized users.

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“…5 a 2DPR IOD modules (excerpt). Complete overview of all modules of PR information object can be found elsewhere [4, 5]. b Excerpt from DICOM Data Dictionary.…”

Section: Methodsmentioning

confidence: 99%

“…2DPR can also be used for efficient image distribution between clinical departments to ensure that images can be viewed by physicians in other disciplines with the optimal settings. Approaches for parameterizing the representation of medical data have also been applied to radiotherapy [3], security [4], and other extensions [5]. …”

Section: Introductionmentioning

confidence: 99%

Systematic Parameterization, Storage, and Representation of Volumetric DICOM Data

Fischer¹,

Selver

Dıcle

et al. 2015

J. Med. Biol. Eng.

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Realizing Digital Signatures for Medical Imaging and Reporting in a PACS Environment

et al. 2013

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According to Taiwan's legislation pertaining to the protection of electronic data, the creators of electronic medical records (EMR) are solely responsible for the security of EMR. However, actual implementations that fulfill the security standards and requirements for electronic medical record systems are still lacking. Most EMR created from picture archive and communication system are not considered secure, as security protection mechanisms have not yet been granted legal status. This paper describes the details of establishing a digital signature system using Taiwan health professional cards. A digital signature system has been included to ensure quality assurance (QA) operations are controlled by technicians, and reporting capabilities have been provided for radiologist. Six imaging modalities and eight types of radiology reports have also been included in the system. Results indicate that the process of creating QA signatures does not have an adverse effect on the workflow of the facility, requiring less time for the signing and verification of radiology reports. This system has already been used routinely online in a real clinical setting for more than 2 years.

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In vitro antioxidant and antimicrobial activities of Merremia emarginata using thio glycolic acid-capped cadmium telluride quantum dots

Rameshkumar

Thilagar

Jeyadevi

et al. 2013

Colloids and Surfaces B: Biointerfaces

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Cited by 3 publications

References 0 publications

Systematic Parameterization, Storage, and Representation of Volumetric DICOM Data

Systematic Parameterization, Storage, and Representation of Volumetric DICOM Data

Realizing Digital Signatures for Medical Imaging and Reporting in a PACS Environment

In vitro antioxidant and antimicrobial activities of Merremia emarginata using thio glycolic acid-capped cadmium telluride quantum dots

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