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Cinebot: Creation of Movies and Animated GIFs Directly from PACS-Efficiency in Presentation and Education.
Talati, Ish A; Choi, Hailey H; Filice, Ross W.
Afiliação
  • Talati IA; Georgetown University School of Medicine, Washington, DC, USA.
  • Choi HH; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
  • Filice RW; Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA. ross.w.filice@medstar.net.
J Digit Imaging ; 33(3): 792-796, 2020 06.
Article em En | MEDLINE | ID: mdl-32026219
ABSTRACT
The presentation of radiology exams can be enhanced through the use of dynamic images. Dynamic images differ from static images by the use of animation and are especially useful for depicting real-time activity such as the scrolling or the flow of contrast to enhance pathology. This is generally superior to a collection of static images as a representation of clinical workflow and provides a more robust appreciation of the case in question. Dynamic images can be shared electronically to facilitate teaching, case review, presentation, and sharing of interesting cases to be viewed in detail on a computer or mobile devices for education. The creation of movies or animated images from radiology data has traditionally been challenging based on technological limitations inherent in converting the Digital Imaging and Communications in Medicine (DICOM) standard to other formats or concerns related to the presence of protected health information (PHI). The solution presented here, named Cinebot, allows a simple "one-click" generation of anonymized dynamic movies or animated images within the picture archiving and communication system (PACS) workflow. This approach works across all imaging modalities, including stacked cross-sectional and multi-frame cine formats. Usage statistics over 2 years have shown this method to be well-received and useful throughout our enterprise.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Serviço Hospitalar de Radiologia / Sistemas de Informação em Radiologia Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Digit Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Serviço Hospitalar de Radiologia / Sistemas de Informação em Radiologia Tipo de estudo: Observational_studies / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Digit Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos