Medical imaging: A review

Communications in Computer and Information Science

Volumn 78 CCIS, Issue , 2010, Pages 504-516

  Ganguly, Debashis ^a   Chakraborty, Srabonti ^a   Balitanas, Maricel ^b   Kim, Tai Hoon ^b  

^a INFOSYS TECHNOLOGIES LTD   (India)

^b Hannam University   (South Korea)

Author keywords

anatomy; bio instruments; clinical; magnetic resonance; physiologic; tomography

Indexed keywords

ANATOMICAL STRUCTURES; ANATOMY; BIO-INSTRUMENTS; CLINICAL; CLINICAL APPLICATION; CLINICAL DIAGNOSIS; HOT SPOT; IMAGE TECHNOLOGY; MEDICAL FIELDS; MEDICAL IMAGE PROCESSING; MEDICAL IMAGES; MEDICAL SCIENCE; MODERN SCIENCE; PHYSIOLOGIC; PHYSIOLOGIC FUNCTION; SURGICAL FIELD; X-RAY COMPUTED TOMOGRAPHY;

COMPASSES (MAGNETIC); COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; IMAGE PROCESSING; IMAGING SYSTEMS; MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; RESONANCE;

MEDICAL IMAGING;

EID: 78049384381     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-16444-6_63     Document Type: Conference Paper

References (40)

1. Webb, S.: The Physics of Medical Imaging Medical Science Series, New York (1988)
2. http://en.wikipedia.org/wiki/Medical-imaging (visited on 01.04.2008)
3. http://www.lancs.ac.uk/ (visited on 01.04.2008)
4. Zaidi, H.: Medical Imaging: Current Status and Future Perspective, Division of Nuclear Medicine, Geneva University Hospital
5. Tian, D.-Z., Ha, M.-H.: Applications of Wavelet Transform in Medical Image Processing, Faculty of Mathematics and Computer Science, Hebei university, Baoding 071002
6. Bradie, B.: Wavelet packet-based compression of signal lead ECG J. IEEE Trans. BME 43(1), 49-60 (1994)
7. Kaimei, Z., Shengchen, y.: Semi-lossless compression algorithm of ECG signal based on wavelet transform. Shandong Joumal of Biomedical Engineering 22(2), 8-10 (2003)
8. Kalayci, T., Ozadmar, 0.: Wavelet processing for automated neural network detection of EEG spikes Jl. IEEE Eng. in Med. and Biol. 2, 160-166 (1995)
9. Weidong, Z., Yingyuan, L.: EEG spikes detection and denoising methods based on wavelet transform. Chinese Journal of Medical Physics 18(4), 208-210 (2001)
10. Meyer, E.G., Averbuch, A.Z., Stmmberg, J.O.: Fast adptive wavelet packet image compression. IEEE Trans. On Image processing 9(5), 792-800 (2000)
11. Xiong, Z., Ramchandran, K., Orchard, M.T.: Waveletpacket image coding using space-frequency quantization. IEEE Trans. On Image processing 7(6), 892-898 (1998)
12. Tolba, A.S.: Wavelet packet compression of Medical images. Digital Signal Processing 12, 441-470 (2002)
13. ye, Y., Zongying, O.: Method of edge detection. Letters 21, 447-462 (2000);
14. Based on wavelet transform and fuzzy algorithm. Journal of Dalian University of Technology 42(4), 504-508 (2002)
15. Shman, R., Qler, J.M., Pianykh, O.S.: A fast and accurate method to register medical images using Wavelet Modulus Maxima. Pattem Recognition Letters 21, 447-462 (2000)
16. Terman, D., Wang, D.L.: Global competition and local cooperation in a network of neural oscillators. Physics D 81, 148-176 (1995)
17. Wang, D.L., Terman, D.: Locally excitatory globally inhibitory oscillator networks. IEEE Trans. Neural Networks 6, 283-286 (1995)
18. Wang, D.L., Terman, D.: Image segmentation based on oscillatory correlation. Neural Comput. 9, 805-836 (1997) (for errata see Neural Comput. 9, 1623-1626 (1997)
19. Haralick, R.M., Shapiro, L.G.: Image segmentation techniques. Comput. Graph. Image Processing 29, 100-132 (1985)
20. Matani, A., Ban, Y., Oshiro, O., Chihara, K.: A system for superimposing medical image within the subject. Nara Institute of Science and Technology
21. Chandrashekar, N., Gautam, S.M., Shivakumar, K.R., Srinivas, K.S., Vijayananda, J.: COTS-Like Generic Medical Image Repository
22. A Process for COTS Software Product Evaluation CMU/SEI-2003-TR 017 ESC-TR-2003- 017 Santiago Comella-Dorda et al, http://www.sei.cmu.edu/pub/ documents/03.reports/pdf/ 03tr017.pdf (visited on 01.04.2008)
23. Jaccheri, L., Sørensen, C.-F., Inge, A.: COTS Products Characterization Marco Torchiano, Wang Department of Computer and Information Science (IDI), Norwegian University of Science and Technology (NTNU) Sem Saelands vei 7-9, N-7491 Trondheim, Norway Phone: +47 735 94489, Fax: +47 735 94466 {Marco,letizia,carlfrs,alfw}@idi.ntnu.no, http://www.idi.ntnu.no/grupper/ su/publ/marco.SEKE2002.pdf (visited on 01.04.2008)
24. Florea, E., Barbu, E., Rogozan, A., Bensrhair, A.: VBuzuloiu LITIS Laboratory, INSA de Rouen 1060 Av. de l'Universite. St. Etienne du Rouvray, France LAPI Laboratory Politehnica University Bucharest 1-3 Iuliu Maniu Blvd, Bucharest, Romania, Medical image catagorization using a texture based symbolic description
25. Kaufman, L.: Finding groups in data: an introduction to cluster analysis. In: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York (1990)
26. Stanfill, C., Waltz, D.: Toward memory based reasoning. Communications of the ACM 29(12), 1213-1228
27. Gersho, A., Gray, M.R.: Vector quantization and signal compression. Kluwer Academic Publishers, Boston (1992)
28. Bajaj, C.L., Ihm, I., Park, S.: 3D RGB image compression for interactive applications. ACM Transactions on Graphics 20(1), 10-38 (2001)
29. Udupa, J.K., Herman, G.T.: 3D Imaging in Medicine. CRC Press, Boca Raton (1999); Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (CBMS 2006) 0-7695-2517-1/06 $20.00 © 2006 IEEE
30. http://www.hms.harvard.edu/research/brain/atlas.html (visited on 01.04.2008)
31. http://www.loni.ucla.edu/Research/Atlases/Data/monkey/ MonkeyAtlasViewer.html (visited on 01.04.2008)
32. Gustafson, C., Tretiak, O., Bertrand, L., Nissanov, J.: Design and implementation of software for assembly and browsing of 3D brain atlases. Computer Methods and Programs in Biomedicine 74(1), 53-61 (2004)
33. 3D Slicer, http://www.slicer.org/ (visited on 01.04.2008)
34. Liu, D., Hua, K.A., Sugaya, K.: A Framework for Web-based Interactive Applications of High-Resolution 3D Medical Image Data
35. Aguirre, A., Cabrera, S.D., Lucero, A., Vidal Jr., E., Gerdau, K.: Compression of Three- Dimensional Medical Image Data based on JPEG 2000. In: Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems, pp. 116-121 (2004)
36. Tang, X., Pearlman, W.A.: Three-Dimensional Wavelet-Based Compression of Hyperspectral Images, Hyperspectral Data Compression. Kluwer Academic Publishers, Dordrecht (2005)
37. Moon, B., Jagadish, H.V., Faloutsos, C., Saltz, J.H.: Analysis of the clustering properties of the Hilbert space filling curve. IEEE Transactions on Knowledge and Data Engineering 13(1), 124-141 (2001)
38. Sagan, H.: Space-Filling Curves. Springer, Heidelberg (1994)
39. Wallis, J.R., Miller, M.M., Miller, T.R., Vreeland, T.H.: An Internet-based nuclear medicine teaching file. J. Nucl. Med. 36, 1520-1527 (1995)
40. Parker, J.A., Wallis, J.W., Halama, J.R., Brown, C.V., Ceadduck, T.D., Graham, M.M., Wu, E., Wagenaar, D.J., Mammone, G.L., Greenes, R.A., Holman, B.L.: Collaboration using Internet for the development of case-based teaching files: Report of the Computer and Instrumentation Council Internet Focus Group. J. Nucl. Med. 37, 178-184 (1996)