Content-Based Computer Tomography Image Retrieval on a Whole-Body Anatomical Reference Set: Methods and Preliminary Results

Auréline Quatrehomme, Denis Hoa, Gérard Subsol, William Puech

Abstract

This paper describes a CBIR system presenting two key points: a generic CT data, as well as a novel algorithm for combining visual features. The descriptors express grey levels, texture and shape of the images. A normalization method is proposed in order to improve the quality of indexing and retrieval. Our selected features and our combination method are effective for retrieving images from a whole-body reference set.

References

  1. Jlia E. E. de Oliveiraa, Alexei M. C. Machadob, Guillermo C. Chaveza, Ana Paula B. Lopesa, Thomas M. Desernoc, Arnaldo de A. Arajoa, MammoSys: A content-based image retrieval system using breast density patterns, Computer Methods and Programs in Biomedicine, 2010, Article In Press.
  2. William Hsu, Sameer Antani, L. Rodney Long, Leif Neve, George R. Thoma, SPIRS: A Web-based image retrieval system for large biomedical databases, International Journal of Medical Informatic 'S, S13-S24, 2009.
  3. Thomas M. Deserno, Sameer Antani, Rodney Long, Ontology of Gaps in Content-Based Image Retrieval, Journal of Digital Imaging, Vol. 22 N. 2, p202-215, 2009.
  4. Auréline Quatrehomme, Deis Hoa, Gérard Subsol, William Puech, Review of Features Used in Content-Based Radiology Image Retrieval systems, International Workshop on Image Analysis, Nmes (France), August 2010.
  5. L. Rodney Long, Sameer Antani, Thomas M. Deserno, George R. Thoma, Content-Based Image Retrieval in Medicine: Retrospective Assessment, State of the Art and Future Directions, International Journal of Healthcare Information Systems and Informatics, Vol. 4 n1, 2008.
  6. Ceyhun Burak Akgl, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar, Content- Based Image Retrieval in Radiology: Current Status and Future Directions, Journal Of Digital Imaging, 2009.
  7. Pedro H. Bugatti, Marcelo Ponciano-Silva, Agma J. M. Traina, Caetano Traina Jr., Paulo M. A. Marques, Content-Based Retrieval of Medical Images: from Context to Perception, 22nd IEEE International Symposium on Computer-Based Medical Systems, 2009.
  8. Juan C. Caicedo, Fabio A. Gonzalez, Eduardo Romero, C. Peters et al., Content-Based Medical Image Retrieval Using Low-Level Visual Features and Modality Identification, CLEF 2007, LNCS 5152, p.615-622, 2008.
  9. Edwin A. Nino, Juan C. Caicedo, Fabio A. Gonzales, Metric Indexing for Content-Based Medical Image Retrieval, Avances en sistemas e Informtica 5 (1), 73-79, 2008.
  10. Marcela X. Ribeiro, Pero H.Bugatti, Caetano Traina Jr., Paulo M.A. Marques, Natalia A. Rosa, Agma J.M. Traina, Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques, Data and Knowledge Engineering 68, p.1370-1382, 2009.
  11. Robert M. Haralick, Statistical and Structural Approaches to Texture, Proceedings of the IEEE Vol.67 n 5, 1979.
  12. M.Rahman, B.C.Desai, P.Bhattacharya, Medical image retrieval with probabilistic multiclass support vector machine classifiers and adaptive similarity fusion, Computerized Medical Imaging and Graphics 32 (2), 95-108, 2008.
  13. A. Mueen, R. Zainuddin, M. Sapiyan Baba, Automatic Multilevel Medical Image Annotation and Retrieval, Journal of Digital Imaging, 2007.
  14. Xiaoqian Xu, Dah-JyeLee, Sameer K. Antani, L. Rodney Long, James K. Archibald, Using relevance feedback with short-term memory for content-based spine X-ray image retrieval, Neurocomputing 72, p.2259-2269, 2009.
  15. Liyang Wei, Yongyi Yang, Robert M.Nishikawa, Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis, Pattern Recognition 42, p.1126- 1132, 2009.
  16. Xiaoning Qian, Hemant D. Tagare, Robert K. Fulbright, Rodney Long, Sameer Antani, Optimal embedding for shape indexing in medical image databases, Medical Image Analysis 14, p.243-254, 2010.
  17. Thomas M. Deserno, Mark O. Gld, Bartosz Plodowski, Klaus Spitzer, Berthold B. Wein, Henning Schubert, Hermann Ney, Thomas Seidl, Extended Query Refinement for Medical Image Retrieval, Journal of Digital Imaging 68, 2009.
  18. Manesh Kokare, CT Image Retrieval Using Tree Structured Cosine Modulated Wavelet Transform, International Conference on Digital Image Processing, 2009.
  19. Dah-Jye Lee, Sameer Antani, Yuchou Chang, Kent Gledhill, L. Rodney Long, Paul Christensen, CBIR of spine X-ray images on inter-vertebral disc space and shape profiles using feature ranking and voting consensus, Data and Knowledge Engineering 68, p.1359-1369, 2009.
  20. Sandy A. Napel, Christopher F. Beaulieu, Cesar Rodriguez, Jingyu Cui, Jiajing Xu, Ankit Gupta, Daniel Korenblum, Hayit Greenspan, Yongjun Ma, Daniel L. Rubin, Automated Retrieval of CT Images of Liver Lesions on the Basis of Image Similarity: Method and Preliminary Results, Radiology, Vol. 256 N.1, July 2010.
Download


Paper Citation


in Harvard Style

Quatrehomme A., Hoa D., Subsol G. and Puech W. (2011). Content-Based Computer Tomography Image Retrieval on a Whole-Body Anatomical Reference Set: Methods and Preliminary Results . In Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011) ISBN 978-989-8425-38-6, pages 52-61. DOI: 10.5220/0003312500520061


in Bibtex Style

@conference{miad11,
author={Auréline Quatrehomme and Denis Hoa and Gérard Subsol and William Puech},
title={Content-Based Computer Tomography Image Retrieval on a Whole-Body Anatomical Reference Set: Methods and Preliminary Results},
booktitle={Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)},
year={2011},
pages={52-61},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003312500520061},
isbn={978-989-8425-38-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)
TI - Content-Based Computer Tomography Image Retrieval on a Whole-Body Anatomical Reference Set: Methods and Preliminary Results
SN - 978-989-8425-38-6
AU - Quatrehomme A.
AU - Hoa D.
AU - Subsol G.
AU - Puech W.
PY - 2011
SP - 52
EP - 61
DO - 10.5220/0003312500520061