Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Biomedical Image Data Types and Processing

  • Sameer Antani
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_39

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

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    Beutel J, Kundel HL, Van Metter RL, editors. Handbook of medical imaging, vols. 1, 2, and 3. Bellingham: SPIE Press.Google Scholar
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    Samet H. Foundations of multidimensional and metric data structures. San Francisco: Morgan Kaufman; 2006.zbMATHGoogle Scholar
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    Demner-Fushman D, Antani SK, Simpson M, Thoma GR. Design and development of a multimodal biomedical information retrieval system. J Comput Sci Eng. 2012;6(2):168–77.CrossRefGoogle Scholar
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    Joint Photographic Experts Group (JPEG). http://www.jpeg.org/. American Medical Information Association; 2007. p. 826–30.
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    Gonzales RC, Woods RE, editors. Digital image processing. 2nd ed. Upper Saddle River: Prentice Hall.Google Scholar
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    Sonka M, Hlavac V, Boyle R, editors. Image processing, analysis, and machine vision. 2nd ed. Washington, DC: PWS Publishing.Google Scholar
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    Reiner BI, Siegel EL. The clinical imperative of medical imaging informatics. J Digit Imaging. 2009;22(4):345–7.CrossRefGoogle Scholar
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    Rehman I, Smith CF. Orthopaedic surgical anatomy teaching collection. 2002. http://cdm15799.contentdm.oclc.org/cdm/landingpage/collection/p15799coll50.
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    Deserno TM, Antani S, Long R. Ontology of gaps in content-based image retrieval. J Digit Imaging. 2008;22(2):202–15.CrossRefGoogle Scholar
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    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. 2004;73(1):1–23.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.National Institutes of HealthBethesdaUSA

Section editors and affiliations

  • Vipul Kashyap
    • 1
  1. 1.Clinical ProgramsCIGNA HealthcareBloomfieldUSA