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Wavelet Compression/Reconstruction and Visualization of Pulmonary X-Ray Images for Achieving of Asbestosis Infected Patients Data

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Book cover Visual Computing

Part of the book series: Augmented Vision and Reality ((Augment Vis Real,volume 4))

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Abstract

An algorithm for reliable wavelet compression/reconstruction and visualization of pulmonary X-ray is presented in this chapter. Pulmonary X-rays are obtained by real patients from an asbestos factory. The aim is to make job easier to occupational medicine specialists and radiologists. Algorithm is primarily concerned for correct compression of the images to save space (digital memory space as well as space for storing X-ray films). Specialists must, according to law, save all X-ray images over 40 years. Instead of archiving X-ray films this algorithm allows saving of wavelet coefficients vectors on magnetic or optical storage. Independent radiologists confirmed that medical data is unchanged. Secondary concern is to emphasize possible asbestos-infected areas, which covers for visualization part of the work. Benefits are in monitoring of health condition, prevention of disease, early diagnostics, more reliable diagnostics, and saving space for achieving medical data.

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Abbreviations

DICOM:

The Digital Imaging and Communications in Medicine

IEEE:

Institute of Electrical and Electronic Engineers

JPEG:

Joint Photographic Experts Group—file format

WT:

Wavelet transform

DWT:

Discrete wavelet transform

2D-DWT:

Two-dimensional discrete wavelet transform

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Author information

Authors and Affiliations

  1. Faculty of Maritime Studies, University of Split, Zrinjsko-Frankopanska 38, Split, Croatia

    Ivica Kuzmanić & Igor Vujović

  2. Occupational Medicine Private Practice, Trg kralja Tomislava bb, 20340, Ploče, Croatia

    Mirjana Vujović

  3. Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Ruđera Boškovića bb, 21000, Split, Croatia

    Slobodan Marko Beroš

Authors
  1. Ivica Kuzmanić
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  2. Mirjana Vujović
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  3. Slobodan Marko Beroš
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  4. Igor Vujović
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Corresponding author

Correspondence to Ivica Kuzmanić .

Editor information

Editors and Affiliations

  1. Mechanical Engineering Department, Universidade Federal Fluminense, Niterói – Rio de Janeiro, Brazil

    Fabiana Rodrigues Leta

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Kuzmanić, I., Vujović, M., Beroš, S.M., Vujović, I. (2014). Wavelet Compression/Reconstruction and Visualization of Pulmonary X-Ray Images for Achieving of Asbestosis Infected Patients Data. In: Rodrigues Leta, F. (eds) Visual Computing. Augmented Vision and Reality, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55131-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-55131-4_6

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  • Print ISBN: 978-3-642-55130-7

  • Online ISBN: 978-3-642-55131-4

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