Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10278-013-9624-5
Title: Visual interpretation with three-dimensional annotations (VITA): Three-dimensional image interpretation tool for radiological reporting
Authors: Roy, S.
Brown, M.S. 
Shih, G.L.
Keywords: Clinical workflow
Information visualization
Radiology reporting
Visual summary
Volume rendering
Volume visualization
Issue Date: Feb-2014
Citation: Roy, S., Brown, M.S., Shih, G.L. (2014-02). Visual interpretation with three-dimensional annotations (VITA): Three-dimensional image interpretation tool for radiological reporting. Journal of Digital Imaging 27 (1) : 49-57. ScholarBank@NUS Repository. https://doi.org/10.1007/s10278-013-9624-5
Abstract: This paper introduces a software framework called Visual Interpretation with Three-Dimensional Annotations (VITA) that is able to automatically generate three-dimensional (3D) visual summaries based on radiological annotations made during routine exam reporting. VITA summaries are in the form of rotating 3D volumes where radiological annotations are highlighted to place important clinical observations into a 3D context. The rendered volume is produced as a Digital Imaging and Communications in Medicine (DICOM) object and is automatically added to the study for archival in Picture Archiving and Communication System (PACS). In addition, a video summary (e.g., MPEG4) can be generated for sharing with patients and for situations where DICOM viewers are not readily available to referring physicians. The current version of VITA is compatible with ClearCanvas; however, VITA can work with any PACS workstation that has a structured annotation implementation (e.g., Extendible Markup Language, Health Level 7, Annotation and Image Markup) and is able to seamlessly integrate into the existing reporting workflow. In a survey with referring physicians, the vast majority strongly agreed that 3D visual summaries improve the communication of the radiologists' reports and aid communication with patients. © 2013 Society for Imaging Informatics in Medicine.
Source Title: Journal of Digital Imaging
URI: http://scholarbank.nus.edu.sg/handle/10635/77941
ISSN: 08971889
DOI: 10.1007/s10278-013-9624-5
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