PURPOSE: Content-based image retrieval (CBIR) bears great potential for computer-aided diagnosis (CAD). However, current CBIR systems are not able to integrate with clinical workflow and PACS generally. One essential factor in this setting is scheduling. Applied and proved with modalities and the acquisition of images for a long time, we now establish scheduling with CBIR. METHODS: Our workflow is based on the IHE integration profile 'Post-Processing Workflow' (PPW) and the use of a DICOM work list. RESULTS: We configured dcm4chee PACS and its including IHE actors for the application of CBIR. In order to achieve a convenient interface for integrating arbitrary CBIR systems, we realized an adapter between the CBIR system and PACS. Our system architecture constitutes modular components communicating over standard protocols. CONCLUSION: The proposed workflow management system offers the possibility to embed CBIR conveniently into PACS environments. We achieve a chain of references that fills the information gap between acquisition and post-processing. Our approach takes into account the tight and solid organization of scheduled and performed tasks in clinical settings.
PURPOSE: Content-based image retrieval (CBIR) bears great potential for computer-aided diagnosis (CAD). However, current CBIR systems are not able to integrate with clinical workflow and PACS generally. One essential factor in this setting is scheduling. Applied and proved with modalities and the acquisition of images for a long time, we now establish scheduling with CBIR. METHODS: Our workflow is based on the IHE integration profile 'Post-Processing Workflow' (PPW) and the use of a DICOM work list. RESULTS: We configured dcm4chee PACS and its including IHE actors for the application of CBIR. In order to achieve a convenient interface for integrating arbitrary CBIR systems, we realized an adapter between the CBIR system and PACS. Our system architecture constitutes modular components communicating over standard protocols. CONCLUSION: The proposed workflow management system offers the possibility to embed CBIR conveniently into PACS environments. We achieve a chain of references that fills the information gap between acquisition and post-processing. Our approach takes into account the tight and solid organization of scheduled and performed tasks in clinical settings.
Authors: T M Lehmann; M O Güld; C Thies; B Fischer; K Spitzer; D Keysers; H Ney; M Kohnen; H Schubert; B B Wein Journal: Methods Inf Med Date: 2004 Impact factor: 2.176
Authors: Caetano Traina; Agma J M Traina; Myrian R B Araújo; Josiane M Bueno; Fabio J T Chino; Humberto Razente; Paulo M Azevedo-Marques Journal: Comput Methods Programs Biomed Date: 2005-12 Impact factor: 5.428
Authors: Luca Bogoni; Jane P Ko; Jeffrey Alpert; Vikram Anand; John Fantauzzi; Charles H Florin; Chi Wan Koo; Derek Mason; William Rom; Maria Shiau; Marcos Salganicoff; David P Naidich Journal: J Digit Imaging Date: 2012-12 Impact factor: 4.056
Authors: Benedikt Fischer; Petra Welter; Rolf W Günther; Thomas M Deserno Journal: Int J Comput Assist Radiol Surg Date: 2011-06-14 Impact factor: 2.924
Authors: Petra Welter; Jörg Riesmeier; Benedikt Fischer; Christoph Grouls; Christiane Kuhl; Thomas M Deserno Journal: J Am Med Inform Assoc Date: 2011 Jul-Aug Impact factor: 4.497
Authors: Ashirwad Chowriappa; T Kesavadas; Maxim Mokin; Peter Kan; Sarthak Salunke; Sabareesh K Natarajan; Peter D Scott Journal: Int J Comput Assist Radiol Surg Date: 2012-06-13 Impact factor: 2.924