DICOM structured report document type definition

Noumeir, Rita

doi:10.1109/titb.2003.821334

Cited by 29 publications

(9 citation statements)

References 15 publications

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“…Next, to benefit from the AI-based algorithm, the radiologist may send images to a DICOM node where the AI system is deployed. The AI system receives the input DICOM images, processes them, and prepares the results as a: (1) DICOM mask, where an algorithm's output is represented as another DICOM image with voxel-values representing the findings; (2) Grayscale Softcopy Presentation State (GSPS) 14 ; (3) DICOM Segmentation (DICOM SEG) object 15 ; or (4) DICOM Structured Report (DICOM SR) 16 . After the result dataset is generated, it is sent to a separate Research-PACS; this enables the official EMR in PACS to remain intact.…”

Section: Research Maturity Levelmentioning

confidence: 99%

Integrating AI into radiology workflow: levels of research, production, and feedback maturity

et al. 2020

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This report represents a roadmap for integrating Artificial Intelligence (AI)-based image analysis algorithms into existing Radiology workflows such that: (1) radiologists can significantly benefit from enhanced automation in various imaging tasks due to AI; and (2) radiologists' feedback is utilized to further improve the AI application. This is achieved by establishing three maturity levels where: (1) research enables the visualization of AI-based results/annotations by radiologists without generating new patient records; (2) production allows the AI-based system to generate results stored in an institution's Picture Archiving and Communication System; and (3) feedback equips radiologists with tools for editing the AI inference results for periodic retraining of the deployed AI systems, thereby allowing the continuous organic improvement of AI-based radiology-workflow solutions. A case study (i.e., detection of brain metastases with T1-weighted contrast-enhanced 3D MRI) illustrates the deployment details of a particular AI-based application according to the aforementioned maturity levels. It is shown that the given AI application significantly improves with the feedback coming from radiologists; the number of incorrectly detected brain metastases (false positives) reduces from 14.2 to 9.12 per patient with the number of subsequently annotated datasets increasing from 93 to 217 as a result of radiologist adjudication.

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Section: Research Maturity Levelmentioning

confidence: 99%

Integrating AI into radiology workflow: levels of research, production, and feedback maturity

et al. 2020

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“…The DOM is a platform-and language-independent standard object model for representing HTML or XML documents as well as an Application Programming Interface (API) for querying, traversing and manipulating such documents. This object model provides the ability to include Digital Imaging and Communications in Medicine (DICOM) files in the report [45]. DICOM is a standard in the field of medical informatics for exchanging digital information between medical imaging equipment (such as radiological imaging) and other systems, ensuring interoperability.…”

Section: Medical Multimedia Document Systemmentioning

confidence: 99%

MaRRS : a software system for generating multimedia radiology reports using Adobe Acrobat

Moniz¹

2021

Preprint

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Despite the proliferation of multimedia software technologies, radiology reports continue to lack image content that would improve the ability of referring clinicians to fully interpret and analyze radiological findings. This thesis demonstrates that it is possible to construct a radiology reporting software system that contains both text and image content using only "off-the-shelf" multimedia software. Specifically, a software system is presented that provides enhanced visual multimedia capabilities, structured content, and reduced report production time, using a well-known PDF program, Adobe Acrobat. The system, which we call the Multimedia Radiology Report System, or MaRRs, allows radiologists to quickly and simply create and deliver effective interactive multimedia medical reports. A detailed analysis describing the unique structure and functionality of MaRRS will be presented to demonstrate its advantages for both radiologists and referring clinicians.

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“…We ask the students to generate three different types of DICOM files: (1) a DICOM secondary capture that wraps a specific image; (2) a DICOM structured report [9] that contains a specific text within a specific section structure; and (3) a Key Object Selection (KOS) that references a specific DICOM image. We also ask the students to validate the DICOM files they generate and to visualize them.…”

Section: Construction Of Dicom Filesmentioning

confidence: 99%

Teaching DICOM by Problem Solving

Noumeir

Pambrun

2012

J Digit Imaging

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The Digital Imaging and Communications in Medicine (DICOM) is the standard for encoding and communicating medical imaging information. It is used in radiology as well as in many other imaging domains such as ophthalmology, dentistry, and pathology. DICOM information objects are used to encode medical images or information about the images. Their usage outside of the imaging department is increasing, especially with the sharing of medical images within Electronic Health Record systems. However, learning DICOM is long and difficult because it defines and uses many specific abstract concepts that relate to each other. In this paper, we present an approach, based on problem solving, for teaching DICOM as part of a graduate course on healthcare information. The proposed approach allows students with diversified background and no software development experience to grasp a large breadth of knowledge in a very short time.

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DICOM structured report document type definition

Cited by 29 publications

References 15 publications

Integrating AI into radiology workflow: levels of research, production, and feedback maturity

Integrating AI into radiology workflow: levels of research, production, and feedback maturity

MaRRS : a software system for generating multimedia radiology reports using Adobe Acrobat

Teaching DICOM by Problem Solving

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