Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases

There are large amounts of digitized radiographs available with related patient pathology and medical history. Retrieval of archived images are useful for aiding diagnosis and to provide relevant evidence from previous cases, as well as a training mechanism for junior radiologists. Most diseases an...

Full description

Saved in:

Bibliographic Details
Main Author:	Wan Ahmad, Wan Siti Halimatul Munirah
Format:	Thesis
Published:	2015
Subjects:	RC71-78.7 Examination Diagnosis
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-mmu-ep.6367
record_format	uketd_dc
spelling	my-mmu-ep.63672016-09-23T07:14:44Z Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases 2015-04 Wan Ahmad, Wan Siti Halimatul Munirah RC71-78.7 Examination. Diagnosis There are large amounts of digitized radiographs available with related patient pathology and medical history. Retrieval of archived images are useful for aiding diagnosis and to provide relevant evidence from previous cases, as well as a training mechanism for junior radiologists. Most diseases and abnormalities tend to appear at specific regions of the image; hence a retrieval system with local features becomes necessary. Medical image segmentation also plays an important role by automating the delineation of anatomical structures. Thus, the main motivation of this thesis is to develop a fully automated lung segmentation approach together with consolidation detection and classification, to be used in a content-based medical image retrieval (CBMIR) system to identify infection and fluid regions in CXR images. Developing a fully automated segmentation approach for a CBMIR system is a challenging task as chest radiography images from different machines produce different contrast and intensity levels, and are also subject to different patient positioning and image projection. 2015-04 Thesis http://shdl.mmu.edu.my/6367/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Engineering
institution	Multimedia University
collection	MMU Institutional Repository
topic	RC71-78.7 Examination Diagnosis
spellingShingle	RC71-78.7 Examination Diagnosis Wan Ahmad, Wan Siti Halimatul Munirah Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases
description	There are large amounts of digitized radiographs available with related patient pathology and medical history. Retrieval of archived images are useful for aiding diagnosis and to provide relevant evidence from previous cases, as well as a training mechanism for junior radiologists. Most diseases and abnormalities tend to appear at specific regions of the image; hence a retrieval system with local features becomes necessary. Medical image segmentation also plays an important role by automating the delineation of anatomical structures. Thus, the main motivation of this thesis is to develop a fully automated lung segmentation approach together with consolidation detection and classification, to be used in a content-based medical image retrieval (CBMIR) system to identify infection and fluid regions in CXR images. Developing a fully automated segmentation approach for a CBMIR system is a challenging task as chest radiography images from different machines produce different contrast and intensity levels, and are also subject to different patient positioning and image projection.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Wan Ahmad, Wan Siti Halimatul Munirah
author_facet	Wan Ahmad, Wan Siti Halimatul Munirah
author_sort	Wan Ahmad, Wan Siti Halimatul Munirah
title	Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases
title_short	Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases
title_full	Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases
title_fullStr	Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases
title_full_unstemmed	Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases
title_sort	content based retrieval of images with consolidation from chest x-ray databases
granting_institution	Multimedia University
granting_department	Faculty of Engineering
publishDate	2015
_version_	1747829635554476032

Content Based Retrieval of Images with Consolidation from Chest X-Ray Databases

Similar Items