Towards applying content-based image retrieval in the clinical routine

Future Generation Computer Systems

Volumn 23, Issue 3, 2007, Pages 466-474

  Oliveira, Marcelo Costa ^a   Cirne, Walfredo ^a   de Azevedo Marques, Paulo M ^b  

^a FEDERAL UNIVERSITY OF CAMPINA GRANDE   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Content based image retrieval; Grid Computing; Image registration; Texture attributes

Indexed keywords

ALGORITHMS; COMPUTER VISION; RADIOLOGY; SECURITY OF DATA;

CLINICAL ROUTINE; COMPUTATIONAL GRIDS; RADIOLOGY CENTERS;

MEDICAL IMAGING;

EID: 33750805275     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2006.06.009     Document Type: Article

References (31)

1. Andreev G.A., Potapov A.A., Galkina T.V., Kolesnikov A.I., Orlova T.I., and Khlyavich Y.L. Image classification from texture features. Soviet Journal of Remote Sensing 8 (1990) 322-329
2. Azevedo-Marques P.M. Diagnóstico auxiliado por computador na radiologia. Radiologia Brasileira 34 (2001) 285-293
3. V. Breton, C. Blanchet, Y. Legre, L. Maigne, J. Montagnat, Grid technology for biomedical applications, in: High Performance Computing for Computational Science - Vecpar 2004, vol. 3402, 2005, pp. 204-218
4. J.M. Bueno, Suporte à Recuperação de Imagens Médicas Baseada em Conteúdo através de Histogramas Métricos, Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo - USP, São Carlos, 2001, pp. 162
5. Cheng Y.C., and Chen S.Y. Image classification using color, texture and regions. Image and Vision Computing 21 (2003) 759-776
6. W. Cirne et al., Labs of the World, Unite!!!, Journal of Grid Computing (in press)
7. W. Cirne et al., Running bag-of-tasks applications on computational grids: The MyGrid approach, in: ICCP'2003, 2003
8. Ferro C.J.S., and Warner T.A. Scale and texture in digital image classification. Photogrammetric Engineering and Remote Sensing 68 (2002) 51-63
9. Flynn M. PACS, HIS, and RIS: What does a physicist needs to know?. Medical Physics 31 (2004) 1754
10. Freeborough P.A., and Fox N.C. MR image texture analysis applied to the diagnosis and tracking of Alzheimer's disease. IEEE Transactions on Medical Imaging 17 (1998) 475-479
11. M.O. Guld et al., Quality of DICOM header information for image categorization, in: Proceedings of the International Symposium on Medical Imaging, San Diego, CA, USA, 2002, pp. 280-287
12. Haralick R.M., Shanmuga K., and Dinstein I. Textural features for image classification. IEEE Transactions on Systems Man and Cybernetics, Smc 3 (1973) 610-621
13. HealthGrid, HealthGrid White Paper, Available at: http://www.heathgrid.org, 2005
14. InsightToolkit, Web Site Available at: http://www.itk.org
15. Hajnal J.V., Hill D.L.G., and Hawkes D.J. Medical Image Registration (2001), CRC Press, Florida, USA
16. Kuo W.J., et al. Retrieval technique for the diagnosis of solid breast tumors on sonogram. Ultrasound in Medicine and Biology 28 (2002) 903-909
17. Lehmann T.M., Guld M.O., Thies O., Fisher B., Spitzer K., Keysers D., Ney H., Kohnen M., Schubert H., and Wein B.B. Content-based image retrieval in medical applications. Methods of Information in Medicine 43 (2004) 354-361
18. Liu B.J., Zhou M.Z., and Documet J.E. Utilizing data grid architecture for the backup and recovery of clinical image data. Computerized Medical Imaging and Graphics 29 (2005) 95-102
19. Manian V., and Vasquez R. Approaches to color- and texture-based image classification. Optical Engineering 41 (2002) 1480-1490
20. Marovic B., and Jovanovic Z. Web-based grid-enabled interaction with 3D medical data. Future Generation Computer Systems 22 (2006) 385-392
21. Montagnat H., et al. Medical images simulation, storage, and processing on the European DataGrid testbed. Journal of Grid Computing 2 (2004) 387-400
22. Montagnat I., Breton V., and Magnin I.E. Partitioning medical image databases for content-based queries on a grid. Methods of Information in Medicine 44 (2005) 154-160
23. I. Montagnat, V. Breton, I.E. Magnin, Using technologies to face medical image analysis challenges, in: Proceedings of the IEEE CCGrid03, Tokyo, Japan, 2003
24. J. Montagnat et al., Medical image content-based queries using the Grid, in: Proceedings of the first European HealthGrid conference, 2004
25. Muller H., Michoux N., Bandon D., and Geissbuhler A. A review of content-based image retrieval systems in medical applications - clinical benefits and future directions. International Journal of Medical Informatics 73 (2004) 1-23
26. Nakagawa S., et al. A Grid computing infrastructure for MEG data analysis. Neurology and Clinical neurophysiology 36 (2004) 1-4
27. Ng Lydia I.L. Medical image registration: Concepts and implementation. In: TS Y. (Ed). Insight into Images (2004), AK Peters, Massachusetts, USA 279-295
28. OurGrid, Web Site Available at. http://www.ourgrid.org, 2005
29. Power D.J., Politou E.A., Slaymaker M.A., and Simpson A.C. Securing web services for deployment in health grids. Future Generation Computer Systems 22 (2006) 547-570
30. Bidgood W.D., and Horii S.C. Introduction to the ACR-NEMA DICOM standard. RadioGraphics 12 (1992) 345-355
31. T.S. Yoo, Principles and practice for segmentation, registration, and image analysis, Massachusetts, USA, 2004