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Chapter 6
Wavelet Compression/Reconstruction
and Visualization of Pulmonary X-Ray
Images for Achieving of Asbestosis
Infected Patients Data
Ivica Kuzmani
´
, Mirjana Vujovi
´
, Slobodan Marko Beroš
and Igor Vujovi
´
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 algo-
rithm 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 visu-
alization part of the work. Benefits are in monitoring of health condition, pre-
vention of disease, early diagnostics, more reliable diagnostics, and saving space
for achieving medical data.
compression
Preservation
data
Keywords Wavelet
image
of
medical
Comparison of wavelet families
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