Content-based image retrieval in medical applications for picture archiving and communication systems

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5033, Issue , 2003, Pages 109-117

  Lehmann, Thomas M ^a   Güld, Mark O ^a   Thies, Christian ^a   Fischer, Benedikt ^a   Keysers, Daniel ^a   Kohnen, Michael ^a   Schubert, Henning ^a   Wein, Berthold B ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

Content Based Image Retrieval (CBIR); Digital Imaging and Communication in Medicine (DICOM); Distributed System; Image Classification Code; Picture Archiving and Communication Systems (PACS); Workflow Integration

Indexed keywords

COMPUTER WORKSTATIONS; CONTENT BASED RETRIEVAL; DIGITAL IMAGE STORAGE; DISTRIBUTED COMPUTER SYSTEMS; IMAGE CODING; IMAGE COMMUNICATION SYSTEMS; RADIOLOGY;

WORKFLOW INTEGRATION;

MEDICAL IMAGING;

EID: 0041920530     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.481942     Document Type: Conference Paper

References (19)

1. Reichertz PL: Towards systematisation. Methods of Information in Medicine 1977; 16: 125-30.
2. Haux R: Knowledge-based decision support for diagnosis and therapy - On the multiple usability of patient data. Methods of Information in Medicine 1989; 28: 69-77.
3. Kim Y, Horii SC (eds): Handbook of Medical Imaging - Volume 3: Display and PA CS. SPIE Press, Bellingham, WA, 2000.
4. Tagare HD, Jaffe CC, Duncan J: Medical image databases - A content-based retrieval approach. Journal of the American Medical Informatics Association JAMIA 1997; 4: 184-198.
5. Niblack W, Barber R, Equitz W, Flickner M, Yanker P, Ashley J: The QBIC-project - Querying images by content using color, texture and shape. Proceedings SPIE 1993; 1908: 173-187.
6. Wu KJ, Narasimhalu AD, Mehtre BM, Lam CP, Gao YJ: CORE - A content-based retrieval engine for multimedia information systems. Multimedia Systems 1995; 3: 25-41.
7. Carson C, Belongie S, Greenspan H, Malik J: Blobworld - Image segmentation using expectation-maximization and its application to image querying. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002; 24(8): 1026-1038.
8. Nappi M, Polese G, Tortora G: FIRST -Fractal indexing and retrieval system for image databases. Image and Vision Computing 1998; 16: 1019-1031.
9. Pentland A, Picard RW, Scarloff S: Photobook - Content-based manipulation of image databases. Proceedings SPIE 1994; 2185: 34-47.
10. Korn P, Sidiropoulos N, Faloutsos C, Siegel E, Protopapas Z: Fast and effective retrieval of medical tumor shapes. IEEE Transactions on Knowledge and Data Engineering 1998; 10(6): 889-904.
11. Shyu CR, Brodley CE, Kak AC, Kosaka A, Aisen AM, Broderick LS: ASSERT - A physician-in-the-loop content-based retrieval system for HRCT image databases. Computer Vision and Image Understanding 1999; 75(1/2): 111-132.
12. Chu WW, Hsu CC, Cárdenas AF, Tiara RK: Knowledge-based image retrieval with spatial and temporal constructs. IEEE Transactions on Knowledge and Data Engineering 1998; 10(6): 872-888.
13. Lehmann TM, Wein B, Dahmen J, Bredno J, Vogelsang F, Konnen M: Content-based image retrieval in medical applications - A novel multi-step approach. Proceedings SPIE 2000; 3972: 312-320.
14. Lehmann TM, Schubert H, Keysers D, Konnen M, Wein BB: The IRMA code for unique classification of medical images. Proceedings SPIE 2003; 5033: in press in this issue.
15. National Electrical Manufacturers Association (NEMA) ed: Digital Imaging and Communications in Medicine (DICOM) - Part 3, PS 3.3-2001. NEMA Publishing, Rosslyn, VA, 2001. (http://medical.nema.org/dicom/2001/01_03PU.PDF)
16. th International Congress and Exhibition Paris, Springer-Verlag, Berlin, 2002; 513-517.
17. Keysers D, Dahmen J, Ney H, Wein BB, Lehmann TM: A statistical framework for model-based image retrieval in medical applications. Journal of Electronic Imaging, 2003; 12(1): in press.
18. Lehmann TM, Guld MO, Keysers D, Schubert H, Wenning A, Wein BB: Automatic detection of the view position of chest radiographs. Proceedings SPIE 2003, 5032: in press.
19. 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.