Literature DB >> 23760620

[Why radiologists should be concerned with semantics].

A Gerstmair1, E Kotter.   

Abstract

Radiological image and data archives contain huge amounts of data which are barely utilized by current technologies. In the future semantic technologies currently under development will enable analysis of the contents not only on the level of individual patients but also along entire data collections thereby resulting in new applications that will benefit routine clinical practice, teaching activities and research. As a prerequisite the development of software for semantic analysis of image and report contents is necessary, i.e. an "understanding" of the contents by the software. Based on specific ontologies, standardized protocols and semantic image annotation new systems will be developed that make the content of these data archives accessible and support diagnosis, quality assurance, innovative research applications and last not least, the merging of data of different medical disciplines, such as radiology, pathology and clinical chemistry.

Entities:  

Mesh:

Year:  2013        PMID: 23760620     DOI: 10.1007/s00117-013-2515-4

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  15 in total

Review 1.  Content-based image retrieval in radiology: current status and future directions.

Authors:  Ceyhun Burak Akgül; Daniel L Rubin; Sandy Napel; Christopher F Beaulieu; Hayit Greenspan; Burak Acar
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

2.  PACS infrastructure supporting e-learning.

Authors:  Peter Mildenberger; Kerstin Brüggemann; Freya Rösner; Katja Koch; Christopher Ahlers
Journal:  Eur J Radiol       Date:  2010-07-10       Impact factor: 3.528

3.  Imaging informatics: toward capturing and processing semantic information in radiology images.

Authors:  D L Rubin; S Napel
Journal:  Yearb Med Inform       Date:  2010

4.  Benefits of the DICOM structured report.

Authors:  Rita Noumeir
Journal:  J Digit Imaging       Date:  2006-12       Impact factor: 4.056

5.  RadLex: a new method for indexing online educational materials.

Authors:  Curtis P Langlotz
Journal:  Radiographics       Date:  2006 Nov-Dec       Impact factor: 5.333

6.  GoldMiner: a radiology image search engine.

Authors:  Charles E Kahn; Cheng Thao
Journal:  AJR Am J Roentgenol       Date:  2007-06       Impact factor: 3.959

7.  iPad: Semantic annotation and markup of radiological images.

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

8.  Informatics in radiology: Render: an online searchable radiology study repository.

Authors:  Pragya A Dang; Mannudeep K Kalra; Thomas J Schultz; Steven A Graham; Keith J Dreyer
Journal:  Radiographics       Date:  2009-06-29       Impact factor: 5.333

9.  Computer aided detection and diagnosis in radiology.

Authors:  E Kotter; M Langer
Journal:  Eur Radiol       Date:  2011-01-11       Impact factor: 5.315

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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  3 in total

1.  [Automatic segmentation and annotation in radiology].

Authors:  P Dankerl; A Cavallaro; M Uder; M Hammon
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

2.  [Current reporting in radiology : what will happen tomorrow?].

Authors:  T Baumann; T Hackländer; E Kotter
Journal:  Radiologe       Date:  2014-01       Impact factor: 0.635

3.  [No exchange of information without technology : modern infrastructure in radiology].

Authors:  H Hupperts; K-G A Hermann
Journal:  Radiologe       Date:  2014-01       Impact factor: 0.635

  3 in total

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