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Making the PACS workstation a browser of image processing software: a feasibility study using inter-process communication techniques

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

To enhance the functional expandability of a picture archiving and communication systems (PACS) workstation and to facilitate the integration of third-part image-processing modules, we propose a browser–server style method.

Methods

In the proposed solution, the PACS workstation shows the front-end user interface defined in an XML file while the image processing software is running in the background as a server. Inter-process communication (IPC) techniques allow an efficient exchange of image data, parameters, and user input between the PACS workstation and stand-alone image-processing software. Using a predefined communication protocol, the PACS workstation developer or image processing software developer does not need detailed information about the other system, but will still be able to achieve seamless integration between the two systems and the IPC procedure is totally transparent to the final user.

Results

A browser–server style solution was built between OsiriX (PACS workstation software) and MeVisLab (Image-Processing Software). Ten example image-processing modules were easily added to OsiriX by converting existing MeVisLab image processing networks. Image data transfer using shared memory added <10 ms of processing time while the other IPC methods cost 1–5 s in our experiments.

Conclusion

The browser–server style communication based on IPC techniques is an appealing method that allows PACS workstation developers and image processing software developers to cooperate while focusing on different interests.

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References

  1. Ratib O (2009) Imaging informatics: from image management to image navigation. Yearb Med Inform 167–172

  2. MeVisLab. Medical image processing and visualization. http://www.mevislab.de/

  3. 3D Slicer. http://slicer.org/

  4. Toussaint N, Souplet J, Fillard P (2007) MedINRIA: medical image navigation and research tool by INRIA. In: Proceedings of MICCAI’07 workshop on interaction in medical image analysis and visualization

  5. Rosset A, Spadola L, Ratib O (2004) OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging 17: 205–216

    Article  PubMed  Google Scholar 

  6. MeVis Medical Solution AG (2009) Getting started: first steps with MeVisLab. http://www.mevislab.de/developer/documentation/

  7. Apple Inc. (2007) Distributed objects programming. http://developer.apple.com/mac/library/documentation/Cocoa/Conceptual/DistrObjects/DistrObjects.html

  8. Stevens WR (1998) UNIX network programming. Interprocess communications, vol 2, 2nd edn. Prentice-Hall, Englewood Cliffs

  9. Wang C, Smedby Ö (2009) MeVisHub user guide. http://mevislabmodules.svn.sourceforge.net/viewvc/mevislabmodules/trunk/Community/General/Sources/ML/MLOsiriXImporter/

  10. Wang C, Frimmel H, Persson A, Smedby Ö (2008) An interactive software module for visualizing coronary arteries in CT angiography. Int J Comput Assist Radiol Surg 3: 11–18

    Article  Google Scholar 

  11. Fisichella VA, Jäderling F, Horvath S, Stotzer P, Kilander A, Båth M, Hellström M (2009) Computer-aided detection (CAD) as a second reader using perspective filet view at CT colonography: effect on performance of inexperienced readers. Clin Radiol 64: 972–982

    Article  CAS  PubMed  Google Scholar 

  12. Knöss N, Hoffmann B, Fabel M, Wiese C, Jochens A, Bolte H, Heller M, Biederer J (2009) Lung nodule assessment in computed tomography: precision of attenuation measurement based on computer-aided volumetry. Rofo 181: 1151–1156

    PubMed  Google Scholar 

  13. Sörstedt E, Persson A, Noren B, Björnlert U, Malcherek P, Axelsson M, Johansson J, Smedby Ö (2005) Computed tomo- graphic colonography: comparison of two workstations. Acta Radiol 46: 671–678

    Article  PubMed  Google Scholar 

  14. Dikkers R, Willems TP, de Jonge GJ, Marquering HA, Greuter MJW, van Ooijen PMA, van der Weide MCJ, Oudkerk M (2009) Accuracy of noninvasive coronary stenosis quantification of different commercially available dedicated software packages. J Comput Assist Tomogr 33: 505–512

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Radiology (IMH), Linköping University, Linköping, Sweden

    Chunliang Wang & Örjan Smedby

  2. Center for Medical Image Science and Visualization (CMIV), Linköping University Hospital, Linköping University, 58185, Linköping, Sweden

    Chunliang Wang & Örjan Smedby

  3. Fraunhofer MEVIS, Institute for Medical Image Computing, Bremen, Germany

    Felix Ritter

Authors
  1. Chunliang Wang
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  2. Felix Ritter
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  3. Örjan Smedby
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Correspondence to Chunliang Wang.

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Wang, C., Ritter, F. & Smedby, Ö. Making the PACS workstation a browser of image processing software: a feasibility study using inter-process communication techniques. Int J CARS 5, 411–419 (2010). https://doi.org/10.1007/s11548-010-0417-8

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  • DOI: https://doi.org/10.1007/s11548-010-0417-8

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