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Tutorial Medical Image Retrieval
Tutorial Medical Image Retrieval
MedInf Europe 2005/2006
Slides of the Tutorial
- Introduction
- Content-Based Image Retrieval
- Image Processing And Preprocessing
- Visual Features
- Medical Applications
- System Aspects
- User Interaction
- Evaluation Of Systems
- Example: IRMA
- Example: MedGIFT
- Summary And Conclusion
Former Tutorials
Databases
casimage
The casimage database is provided by the Radiology Department of
the Geneva University Hospital, Switzerland.
It was used in ImageCLEF 2004 and 2005 for evaluating
content-based image retrieval systems.
More information on the database can be found on the casimage website.
IRMA
The IRMA database consists of about 15,000 classified radiographs which have
been arbitrarily taken from routine at the Department of Diagnostic
Radiology, Aachen University of Technology (RWTH), Aachen, Germany.
The images represent different body regions, ages, genders, view positions,
and pathologies. Therefore, image quality varies significantly.
Here a subset of 10,000 images were downscaled to fit a 64x64 bounding box
maintaining the orignial aspect ratio. Each image is member of one of
57 classes. These data were used in the 2005 ImageCLEF Evaluation,
where 9,000 images were used as training data and the remaining 1,000
images had to be classified. The classification of these was unknown
until after the evaluation was finished.
The database is available in higher resolution and with a more
detailed classification using a mono-hierarchical multi-axial code
from the website of the IRMA
project. Medical terms characterizing the different codes are
available in German and English language.
The data has been used in several investigations, if you decide to use
them related to some scientific publication please make sure to cite
on of the recent works of the IRMA project.
Acknowledgement: This data is courtesy of the IRMA group.
Papers, Presentations, and Posters
sorted by years
-
David McG. Squire, Wolfgang Müller and Henning Müller,
Relevance feedback and term weighting schemes for content-based
image retrieval. Tech. Rep. 98.05, Computer Vision Group,
Computing Centre, University of Geneva, rue Général Dufour, 24,
CH-1211 Genève, Switzerland, December 1998. (pdf)
-
Wolfgang Müller, Zoran Pecenovic, Arjen P. de Vries, David
McG. Squire, Henning Müller and Thierry Pun, MRML: Towards an
extensible standard for multimedia querying and benchmarking
(Draft Proposal). Tech. Rep. 99.04, Computer Vision Group,
Computing Centre, University of Geneva, rue Général Dufour,
24, CH-1211 Genève, Switzerland, October 1999. (pdf)
-
Henning Müller, Wolfgang Müller, David McG. Squire and
Thierry Pun, Performance Evaluation in Content-Based Image
Retrieval: Overview and Proposals. Tech. Rep. 99.05, Computer
Vision Group, Computing Centre, University of Geneva, rue
Général Dufour, 24, CH-1211 Genève, Switzerland, December
1999. (pdf)
-
Henning Müller, Wolfgang Müller, David McG. Squire, Stéphane
Marchand-Maillet and Thierry Pun, Strategies for positive and
negative relevance feedback in image
retrieval. Tech. Rep. 00.01, Computer Vision Group, Computing
Centre, University of Geneva, rue Général Dufour, 24, CH-1211
Genève, Switzerland, January 2000. (pdf)
-
Henning Müller, Wolfgang Müller, David McG. Squire, Stéphane
Marchand-Maillet and Thierry Pun, Long-Term Learning from User
Behavior in Content-Based Image Retrieval. Tech. Rep. 00.04,
Computer Vision Group, Computing Centre, University of Geneva,
rue Général Dufour, 24, CH-1211 Genève, Switzerland, March
2000. (pdf)
-
Henning Müller, Wolfgang Müller, Stéphane Marchand-Maillet,
David McG. Squire and Thierry Pun, Automated benchmarking in
content-based image retrieval. Tech. Rep. 01.01, University
of Geneva, May 2001. (pdf)
-
Güld MO, Kohnen M, Keysers D, Schubert H, Wein BB, Bredno J,
Lehmann TM: Quality of DICOM header information for image
categorization. Proceedings SPIE 2002; 4685: 280-287 (pdf)
-
D. Keysers, S. Celik, H. Braess, J. Dahmen, and
H. Ney. Parameter Estimation for Automatic Dose Control in
Radioscopy. In BVM 2002, Bildverarbeitung für die Medizin
2002, Leipzig, Germany, pages 279-282, March 2002. (pdf)
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Lehmann TM, Schubert H, Keysers D, Kohnen M, Wein BB: The IRMA
code for unique classification of medical images. Proceedings
SPIE 2003; 5033: 109-117 (pdf, poster)
-
Thomas Deselaers. Diploma Thesis Presentation: Features for Image Retrieval
(pdf)
-
Lehmann TM, Güld MO, Thies C, Fischer B, Spitzer K, Keysers D,
Ney H, Kohnen M, Schubert H, Wein BB: The IRMA project-A state
of the art report on content-based image retrieval in medical
applications. In: Kim MH, Meinzer HP (eds): Proceedings 7th
Korea-Germany Joint Workshop on Advanced Medical Image
Processing, EWHA Womans University, Seoul, Korea,
14.-15. October, 2003; 161-171 (pdf)
-
Henning Müller, Wolfgang Müller, Stéphane Marchand-Maillet,
David McG. Squire and Thierry Pun, A Framework for
Benchmarking in Visual Information Retrieval, International
Journal on Multimedia Tools and Applications,21, pp. 55-73,
2003. (Special Issue on Multimedia Information Retrieval).
(pdf)
-
D. Keysers, C. Gollan, and H. Ney. Classification of Medical
Images using Non-linear Distortion Models. In BVM 2004,
Bildverarbeitung für die Medizin 2004, Berlin, Germany, pages
366-370, March 2004. (pdf, slides)
-
Henning Müller, David McG. Squire and Thierry Pun, Learning
From User Behaviour in Image Retrieval: Application of the
Market Basket Analysis, International Journal on Computer
Vision, volume 56(1-2), pages 65-77, 2004. (Special Issue on
Content-Based Visual Information Retrieval). (pdf)
-
Henning Müller, Nicolas Michoux, David Bandon, Antoine
Geissbuhler, A review of content-based image retrieval systems
in medicine - clinical benefits and future directions,
International Journal of Medical Informatics, volume 73 pages
1-23, 2004. (pdf)
-
Henning Müller, Antoine Geissbuhler, Stéphane
Marchand-Maillet, Paul Clough, Benchmarking Image Retrieval
Applications, Proceedings of The Tenth International
Conference on Distributed Multimedia Systems (DMS'2004),
Workshop on Visual Information Systems (VIS 2004), San
Francisco, CA, USA, 2004. (pdf)
-
T. Deselaers, D. Keysers, and H. Ney FIRE - Flexible Image
Retrieval Engine: ImageCLEF 2004 Evaluation. In CLEF 2004,
LNCS 3491, Bath, UK, pages 688-698, September 2004. (pdf)
-
T. Deselaers, D. Keysers, and H. Ney. Features for Image
Retrieval: A Quantitative Comparison. In DAGM 2004, Pattern
Recognition, 26th DAGM Symposium, Tübingen, Germany, Volume
LNCS 3175 of Lecture Notes in Computer Science, pages 228 -
236, August/September 2004. (pdf)
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Mark Oliver Güld, Daniel Keysers, Thomas Deselaers, Marcel
Leisten, Henning Schubert, Hermann Ney, and Thomas
M. Lehmann. Comparison of Global Features for Categorization
of Medical Images. Proceedings SPIE 2004; 5371, in press . San
Diego, California, USA. (pdf)
-
Proposal for MRML 2.0
(pdf)
-
Paul Clough, Henning Müller, Mark Sanderson, The CLEF Cross
Language Image Retrieval Track (ImageCLEF) 2004, CLEF
Proceedings - Springer Lecture Notes in Computer Science,
2005. (pdf)
-
Henning Müller, Antoine Geissbuhler, Patrick Ruch, Report on
the CLEF Experiment: Combining image and multi-lingual search
for medical image retrieval, CLEF Proceedings - Springer
Lecture Notes in Computer Science, 2005. (pdf)
-
T. Lehmann, M. Güld, T. Deselaers, D. Keysers, H. Schubert,
K. Spitzer, H. Ney, and B. Wein. Automatic Categorization of
Medical Images for Content-based Retrieval and Data
Mining. In Computerized Medical Imaging and Graphics, volume
29, pages 143-155, 2005. (pdf)
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Thies C, Güld MO, Fischer B, Lehmann TM Content-based queries
on the casimage database with the IRMA framework: A field
report. LNCS 2005; 3491:781-792 (pdf)
Source code of different systems
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