Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration

In this thesis two major topics inherent with medical ultrasound images are addressed: deconvolution and segmentation. In the first case a deconvolution algorithm is described allowing statistically consistent maximum a posteriori estimates of the tissue reflectivity to be restored. These estimates...

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Bibliographic Details
Main Author:	Alessandrini, Martino <1983>
Other Authors:	Masetti, Guido
Format:	Doctoral Thesis
Language:	en
Published:	Alma Mater Studiorum - Università di Bologna 2011
Subjects:	ING-INF/01 Elettronica
Online Access:	http://amsdottorato.unibo.it/3482/

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spelling	ndltd-unibo.it-oai-amsdottorato.cib.unibo.it-34822014-03-24T16:29:08Z Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration Alessandrini, Martino <1983> ING-INF/01 Elettronica In this thesis two major topics inherent with medical ultrasound images are addressed: deconvolution and segmentation. In the first case a deconvolution algorithm is described allowing statistically consistent maximum a posteriori estimates of the tissue reflectivity to be restored. These estimates are proven to provide a reliable source of information for achieving an accurate characterization of biological tissues through the ultrasound echo. The second topic involves the definition of a semi automatic algorithm for myocardium segmentation in 2D echocardiographic images. The results show that the proposed method can reduce inter- and intra observer variability in myocardial contours delineation and is feasible and accurate even on clinical data. Alma Mater Studiorum - Università di Bologna Masetti, Guido 2011-04-18 Doctoral Thesis PeerReviewed application/pdf en http://amsdottorato.unibo.it/3482/ info:eu-repo/semantics/openAccess
collection	NDLTD
language	en
format	Doctoral Thesis
sources	NDLTD
topic	ING-INF/01 Elettronica
spellingShingle	ING-INF/01 Elettronica Alessandrini, Martino <1983> Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration
description	In this thesis two major topics inherent with medical ultrasound images are addressed: deconvolution and segmentation. In the first case a deconvolution algorithm is described allowing statistically consistent maximum a posteriori estimates of the tissue reflectivity to be restored. These estimates are proven to provide a reliable source of information for achieving an accurate characterization of biological tissues through the ultrasound echo. The second topic involves the definition of a semi automatic algorithm for myocardium segmentation in 2D echocardiographic images. The results show that the proposed method can reduce inter- and intra observer variability in myocardial contours delineation and is feasible and accurate even on clinical data.
author2	Masetti, Guido
author_facet	Masetti, Guido Alessandrini, Martino <1983>
author	Alessandrini, Martino <1983>
author_sort	Alessandrini, Martino <1983>
title	Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration
title_short	Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration
title_full	Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration
title_fullStr	Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration
title_full_unstemmed	Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration
title_sort	statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration
publisher	Alma Mater Studiorum - Università di Bologna
publishDate	2011
url	http://amsdottorato.unibo.it/3482/
work_keys_str_mv	AT alessandrinimartino1983 statisticalmethodsforanalysisandprocessingofmedicalultrasoundapplicationstosegmentationandrestoration
_version_	1716654342164971520

Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration

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