About: Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry

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About: Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The segmentation of CT images to produce a computational model of anatomy is a time-consuming and laborious process. Here we report a time saving semiautomatic approach. The image-processing technique known as statistical region merging’’ (SRM) was used to pre-segment the 54 original CT images of the ADELAIDE data set into regions of related pixels. These regions were amalgamated into organs and tissues by a program operated through a graphical user interface. This combination of SRM and GUI was used to build a voxel computational model of anatomy. The new’’ version of ADELAIDE was compared to the old’’ version by simulating an abdominal CT procedure on both models and comparing the Monte Carlo calculated organ doses. Seventeen of the 21 SRM– GUI segmented tissues received doses that were within 18 % of the doses received by the manually segmented tissues. The segmentation of CT images to produce a computational model of anatomy is a time-consuming and laborious process. Here we report a time saving semiautomatic approach. The image-processing technique known as statistical region merging’’ (SRM) was used to pre-segment the 54 original CT images of the ADELAIDE data set into regions of related pixels. These regions were amalgamated into organs and tissues by a program operated through a graphical user interface. This combination of SRM and GUI was used to build a voxel computational model of anatomy. The new’’ version of ADELAIDE was compared to the old’’ version by simulating an abdominal CT procedure on both models and comparing the Monte Carlo calculated organ doses. Seventeen of the 21 SRM– GUI segmented tissues received doses that were within 18 % of the doses received by the manually segmented tissues. (en)
Title	Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry (en)
skos:prefLabel	Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry (en)
skos:notation	RIV/67985556:_____/14:00428537!RIV15-AV0-67985556
http://linked.open...avai/riv/aktivita	I
http://linked.open...avai/riv/aktivity	I
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Sedlář, Jiří
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	8509
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/14:00428537
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Voxel model; Image segmentation; Statistical region merging; CT dosimetry (en)
http://linked.open.../riv/klicoveSlovo	Image segmentation CT dosimetry Statistical region merging Voxel model
http://linked.open...odStatuVydavatele	AU - Australské společenství
http://linked.open...ontrolniKodProRIV	[6F7932801312]
http://linked.open...i/riv/nazevZdroje	AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	37
http://linked.open...iv/tvurceVysledku	Sedlář, Jiří Bajger, M. Caon, M. Lee, G.
http://linked.open...ain/vavai/riv/wos	000336726600014
issn	0158-9938
number of pages	11 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/s13246-014-0273-x

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