Literature DB >> 23979113

Visual Interpretation with Three-Dimensional Annotations (VITA): three-dimensional image interpretation tool for radiological reporting.

Sharmili Roy1, Michael S Brown, George L Shih.   

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.

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Year:  2014        PMID: 23979113      PMCID: PMC3903964          DOI: 10.1007/s10278-013-9624-5

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  15 in total

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Journal:  AJR Am J Roentgenol       Date:  2006-11       Impact factor: 3.959

4.  The radiology report of the future.

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Journal:  Radiology       Date:  2009-05       Impact factor: 11.105

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Authors:  Daniel L Rubin; Cesar Rodriguez; Priyanka Shah; Chris Beaulieu
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

6.  A piece of my mind. Who's afraid of the empowered patient?

Authors:  Delia Chiaramonte
Journal:  JAMA       Date:  2008-09-24       Impact factor: 56.272

7.  The Annotation and Image Mark-up project.

Authors:  David S Channin; Pattanasak Mongkolwat; Vladimir Kleper; Daniel L Rubin
Journal:  Radiology       Date:  2009-12       Impact factor: 11.105

Review 8.  OsiriX: an open-source software for navigating in multidimensional DICOM images.

Authors:  Antoine Rosset; Luca Spadola; Osman Ratib
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

9.  Communicating results of all outpatient radiologic examinations directly to patients: the time has come.

Authors:  Leonard Berlin
Journal:  AJR Am J Roentgenol       Date:  2009-03       Impact factor: 3.959

10.  The caBIG annotation and image Markup project.

Authors:  David S Channin; Pattanasak Mongkolwat; Vladimir Kleper; Kastubh Sepukar; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2009-03-18       Impact factor: 4.056

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  1 in total

Review 1.  Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats.

Authors:  Sandy Napel; Wei Mu; Bruna V Jardim-Perassi; Hugo J W L Aerts; Robert J Gillies
Journal:  Cancer       Date:  2018-11-01       Impact factor: 6.860

  1 in total

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