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Encyclopedia of Database Systems pp 229–232Cite as

Biomedical Image Data Types and Processing

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Synonyms

Data Types: Image, Video, Pixel, Voxel, Frame; Conceptual data types: Pixel, Point, Edge, Volume, Region of interest, Shape, Color, Texture, Feature; Format: Joint photographic experts group (JPEG), Digital imaging and communications in medicine (DICOM), JPEG2000, Imaging Technique: X-Ray, Magnetic resonance imaging (MRI), Computerized tomography (CT), Ultrasound, Positron emission tomography (PET), Nuclear magnetic resonance (NMR), Microscopy, Single photon emission computerized tomography (SPECT), Fluoroscopy; Image Processing: Compression, Wavelet compression, Functional mapping, Image reconstruction, 2D image processing, Texture analysis, Edge detection, 3D image processing, Surface detection, Image content analysis; Storage and Retrieval: Image databases, Content-based image retrieval (CBIR), Visual similarity, Feature indexing, Multimedia information retrieval

Definition

The entry term describes biomedical image types (X-Ray, CT, MR, PET) stored in a particular format...

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Recommended Reading

  1. Beutel J., Kundel H.L., and Van Metter R.L. (eds.). Handbook of Medical Imaging. Vols. 1, 2, and 3. SPIE Press, Bellingham, WA.

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  2. Deserno T.M., Antani S., Long R. Ontology of Gaps in Content-Based Image Retrieval. J Digital Imaging, February 2008.

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  3. Gonzales R.C. and Woods R.E. (eds.). Digital Image Processing (2nd edn.). Prentice Hall, Upper Saddle River, NJ.

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  4. Hsu W., Antani S., Long LR. SPIRS: a framework for content-based image retrieval from large biomedical databases. Medinfo, 12 (Pt 1):188–92, 2007.

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  5. Jeronimo J., Long L.R., Neve L., Bopf M., Antani S., Schiffman M. Digital tools for collecting data from cervigrams for research and training in colposcopy. J. Lower Genital Tract Dis., 10(1):16–25, 2006

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  6. Joint Photographic Experts Group (JPEG) http://www.jpeg.org/. American Medical Information Association (AMIA 2007), Chicago, November 2007, pp. 826–830.

  7. Müller H., Michoux N., Bandon D., Geissbuhler A. A Review of Content-Based Image Retrieval Systems in Medical Applications – Clinical Benefits and Future directions. Int J Med Inform., 73(1):1–23, 2004.

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  8. H. Samet Foundations of Multidimensional and Metric Data Structures. Morgan Kaufman. San Francisco, CA, 2006.

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  9. Sonka M., Hlavac V., and Boyle R. (eds.). Image Processing, Analysis, and Machine Vision (2nd edn.). PWS Publishing, Washington, DC.

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  10. Xue Z., Antani S.K., Long L.R., Jeronimo J., Thoma G.R. Investigating CBIR techniques for cervicographic images. In Proc. 2007 Annual Symposium of the American Medical Information Association, 2007, pp. 826–830.

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Author information

Authors and Affiliations

  1. National Institutes of Health, Bethesda, MD, USA

    Sameer Antani

Authors
  1. Sameer Antani
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Antani, S. (2009). Biomedical Image Data Types and Processing. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_39

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