Wavelet-Based Lossy Compression Techniques For Medical Images

Wavelet-Based Lossy Compression Techniques For Medical Images

Medical imaging is a powerful and useful tool for radiologists and consultants, allowing them to improve and facilitate their diagnosis. Worldwide, X-ray images represent 60% of the total amount of radiological images, the remaining consists of more newly developed image modalities such as Comput...

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Main Author: Saffor, Emhemad Mohamed
Format: Thesis
Language:English
English
Published: 2003
Subjects:
X-ray densitometry in medicine
Medical imaging equipment industry - Malaysia
Online Access:http://psasir.upm.edu.my/id/eprint/12160/1/FK_2003_19.pdf
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id my-upm-ir.12160
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spelling my-upm-ir.121602024-07-03T03:16:33Z Wavelet-Based Lossy Compression Techniques For Medical Images 2003-05 Saffor, Emhemad Mohamed Medical imaging is a powerful and useful tool for radiologists and consultants, allowing them to improve and facilitate their diagnosis. Worldwide, X-ray images represent 60% of the total amount of radiological images, the remaining consists of more newly developed image modalities such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound (US), Positron Emission Tomography (PET), Single Photon Emission Computerized Tomography (SPECT), Nuclear Medicine (NM), and Digital Subtraction Angiography (DSA). Image communication systems for medical images have bandwidth and image size constraints that result in time-consuming transmission of uncompressed raw image data. Thus image compression is a key factor to improve transmission speed and storage, but it risks losing relevant medical information. The radiology standard Digital Imaging and Communications in Medicine (DICOM3) provides rules for compression using lossless Joint Photographic Expert Group (JPEG) methods. However, at the moment there are no rules for acceptance of lossy compression in medical imaging and it is an extremely subjective decision. Acceptable levels of compression should never compromise diagnostic information. Wavelet technology has emerged as a promising compression tool to achieve a high compression ratio while maintaining an acceptable fidelity of image quality. X-ray densitometry in medicine Medical imaging equipment industry - Malaysia 2003-05 Thesis http://psasir.upm.edu.my/id/eprint/12160/ http://psasir.upm.edu.my/id/eprint/12160/1/FK_2003_19.pdf text en public doctoral Universiti Putra Malaysia X-ray densitometry in medicine Medical imaging equipment industry - Malaysia Faculty of Engineering Raml, Abd Rahman English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
advisor Raml, Abd Rahman
topic X-ray densitometry in medicine
Medical imaging equipment industry - Malaysia
spellingShingle X-ray densitometry in medicine
Medical imaging equipment industry - Malaysia

Saffor, Emhemad Mohamed
Wavelet-Based Lossy Compression Techniques For Medical Images
description Medical imaging is a powerful and useful tool for radiologists and consultants, allowing them to improve and facilitate their diagnosis. Worldwide, X-ray images represent 60% of the total amount of radiological images, the remaining consists of more newly developed image modalities such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound (US), Positron Emission Tomography (PET), Single Photon Emission Computerized Tomography (SPECT), Nuclear Medicine (NM), and Digital Subtraction Angiography (DSA). Image communication systems for medical images have bandwidth and image size constraints that result in time-consuming transmission of uncompressed raw image data. Thus image compression is a key factor to improve transmission speed and storage, but it risks losing relevant medical information. The radiology standard Digital Imaging and Communications in Medicine (DICOM3) provides rules for compression using lossless Joint Photographic Expert Group (JPEG) methods. However, at the moment there are no rules for acceptance of lossy compression in medical imaging and it is an extremely subjective decision. Acceptable levels of compression should never compromise diagnostic information. Wavelet technology has emerged as a promising compression tool to achieve a high compression ratio while maintaining an acceptable fidelity of image quality.
format Thesis
qualification_level Doctorate
author Saffor, Emhemad Mohamed
author_facet Saffor, Emhemad Mohamed
author_sort Saffor, Emhemad Mohamed
title Wavelet-Based Lossy Compression Techniques For Medical Images
title_short Wavelet-Based Lossy Compression Techniques For Medical Images
title_full Wavelet-Based Lossy Compression Techniques For Medical Images
title_fullStr Wavelet-Based Lossy Compression Techniques For Medical Images
title_full_unstemmed Wavelet-Based Lossy Compression Techniques For Medical Images
title_sort wavelet-based lossy compression techniques for medical images
granting_institution Universiti Putra Malaysia
granting_department Faculty of Engineering
publishDate 2003
url http://psasir.upm.edu.my/id/eprint/12160/1/FK_2003_19.pdf
_version_ 1804888691368263680

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