Wavelet Compression/Reconstruction and Visualization of Pulmonary X-Ray Images for Achieving of Asbestosis Infected Pati
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
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Wavelet Compression/Reconstruction and Visualization of Pulmonary X-Ray Images for Achieving of Asbestosis Infected Patients Data Ivica Kuzmanic´, Mirjana Vujovic´, Slobodan Marko Beroš and Igor Vujovic´ 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. Keywords Wavelet image compression Comparison of wavelet families
Preservation of medical data
I. Kuzmanic´ (&) I. Vujovic´ Faculty of Maritime Studies, University of Split, Zrinjsko-Frankopanska 38, Split, Croatia e-mail: [email protected] I. Vujovic´ e-mail: [email protected] M. Vujovic´ Occupational Medicine Private Practice, Trg kralja Tomislava bb, 20340 Plocˇe, Croatia e-mail: [email protected] S. M. Beroš Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Rud¯era Boškovic´a bb, 21000 Split, Croatia e-mail: [email protected]
F. R. Leta (ed.), Visual Computing, Augmented Vision and Reality 4, DOI: 10.1007/978-3-642-55131-4_6, Springer-Verlag Berlin Heidelberg 2014
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List of Abbreviations DICOM IEEE JPEG WT DWT 2D-DWT
The Digital Imaging and Communications in Medicine Institute of Electrical and Electronic Engineers Joint Photographic Experts Group—file format Wavelet transform Discrete wavelet transform Two-dimensional discrete wavelet transform
6.1 Introduction Archiving medical data is demanding operation. It is very interesting in data with medical images (X-rays, mammography, tomography, etc.). Asbestos particles cause irritation of lung tissue and reduce breathing capacity of the patients. The set of symptoms including mentioned above are called asbestosis. Furthermore, presence of asbestos increases the possibility of lung cancer. Due to asbestos toxicity, several attempts to engineered diagnostics, visualization, and archiving have been made. According to the IEEE Xplore, the most relevant are described next. Usage of image processing for asbestos detection starts before 1978 [1] by automating counting of asbestos fibers in air. Digitalized image was used. Inclusion of toxicity in engineering education was proposed with growth of awarenes
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