Abstract
The use of medical imaging for the diagnosis and, to a lesser extent, the prognosis and treatment of disease, is a common practice in modern medicine. Consequently, the need has arisen to develop applications that combine the ability to visualize digital medical images with the features required by clinical personnel in order to manage them. A number of medical image viewers are currently available, but nearly all of them are oriented towards visualizing and managing a single study of a patient, which limits the analysis of the expert. This paper introduces a novel application that contains the basic functionality required for common medical image analysis and which may be extended by a plug-in system with new features that could be demanded in the future. The application also makes it possible to visualize and analyze several studies at the same time, completely independently, increasing the accuracy of the analysis and facilitating the work of experts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fitzpatrick, J.M., Sonka, M.: Handbook of Medical Imaging. Medical Image Processing and Analysis, vol. PM80. SPIE Press Monograph (2000)
Bitter, I., Van Uitert Jr., R.L., Wolf, I., Ibáñez, L., Kuhnigk, J.: Comparison of Four Freely Available Frameworks for Image Processing and Visualization That Use ITK. IEEE Trans. Vis. Comput. Graph. 13(3), 483–493 (2007)
Pieper, S., Halle, M., Kikinis, R.: 3D SLICER. In: Proceedings of the 1st IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 632–635 (2004)
MITK 3M3 Image Analysis (November 2010), http://www.mint-medical.de/productssolutions/mitk3m3/mitk3m3/
Martin, K., Ibáñez, L., Avila, L., Barré, S., Kaspersen, J.H.: Integrating segmentation methods from the Insight Toolkit into a visualization application. Med. Image Anal. 9(6), 579–593 (2005)
Wolf, I., Vetter, M., Wegner, I., Böttger, T., Nolden, M., Schöbinger, M., et al.: The Medical Imaging Interaction Toolkit. Med. Image Analysis 9(6), 594–604 (2005)
Wolf I., Nolden M., Böttger T., Wegner I., Schöbinger M., Hastenteufel M., et al.: The MITK Approach. In: Insight Journal - 2005 MICCAI Open-Source Workshop (2005)
Wolf, I., Vetter, M., Wegner, I., Nolden, M., et al.: The Medical Imaging Interaction Toolkit (MITK) a toolkit facilitating the creation of interactive software by extending VTK and ITK. In: Med. Imag. 2004: Visualization, Image-Guided Procedures, and Display. Proc. of the SPIE, vol. 5367, pp. 16–27 (2004)
Ibáñez, L., Schroeder, W., Ng, L., Cates, J., Consortium, T.I.S., Hamming, R.: The ITK Software Guide. Kitware, Inc. (January 2003)
Schroeder, W.V., Martin, K., Lorensen, B.: The Visualization Toolkit An Object-Oriented Approach To 3D Graphics, 4th edn. Kitware, Inc. (December2006)
Blanchette, J.: Summerfield M.: C++ GUI Programming with Qt 4, 2nd edn. The official C++/Qt book. Prentice Hall (February 14, 2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rey, A., Castro, A., Dafonte, J.C., Arcay, B. (2012). A Novel Visualizer of Medical Images by Integrating an Extensible Plugin Framework. In: Bravo, J., Hervás, R., Rodríguez, M. (eds) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science, vol 7657. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35395-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-35395-6_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35394-9
Online ISBN: 978-3-642-35395-6
eBook Packages: Computer ScienceComputer Science (R0)