Quantitative analysis of 3D US images in the relationship with liver lesion diagnosis

2009
journal article
article
dc.abstract.enBackground: The aim of the study was to apply a computer aided analysis of the three-dimensional (3D) ultrasound images for the diagnosis of focal liver lesions. Material/Method: Patients with various hepatic changes were examined using standard US unit equipped with a transducer positioning system based on the magnetic field sensor. The data were imported by the graphical workstation and processed. The computer analysis comprised 3D image segmentation as well as the lesion volume and echogeneity determination. Moreover, a set of parameters was calculated to quantify morphology and texture of the lesions. Results: The collected results confirmed that calculations of lesion volume and echogeneity as well as quantification of the morphological features have a limited value in the diagnosis of liver tumors. In contrast, the quantification of selected texture features of the 3D liver images enables differentiation between malignant and benign tumors. The best parameters to distinguish between different types of the liver lesions are angular second moment and entropy. Conclusions: The results suggest that quantification of the texture features offers the supplementation of the routine US approach to the liver lesion diagnosis by a new quantitative tool.pl
dc.affiliationWydział Lekarskipl
dc.contributor.authorRokita, Eugeniusz - 133291 pl
dc.contributor.authorTatoń, Grzegorz - 133654 pl
dc.contributor.authorSierżęga, Marek - 133388 pl
dc.contributor.authorKulig, Jan - 130535 pl
dc.contributor.authorUrbanik, Andrzej - 133713 pl
dc.date.accession2018-12-10pl
dc.date.accessioned2018-12-10T11:28:09Z
dc.date.available2018-12-10T11:28:09Z
dc.date.issued2009pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. 33-34pl
dc.description.number2pl
dc.description.physical28-34pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume74pl
dc.identifier.articleid878389pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.projectROD UJ / OPpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/63135
dc.identifier.weblinkhttp://archiwum.polradiol.com/abstract/index/idArt/878389pl
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.subject.enultrasonic imagingpl
dc.subject.enthree-dimensional imagingpl
dc.subject.enimage analysispl
dc.subject.enliver lesionspl
dc.subtypeArticlepl
dc.titleQuantitative analysis of 3D US images in the relationship with liver lesion diagnosispl
dc.title.alternativeIlościowa analiza trójwymiarowych obrazów USG w zastosowaniu do diagnostyki zmian w wątrobiepl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
Background: The aim of the study was to apply a computer aided analysis of the three-dimensional (3D) ultrasound images for the diagnosis of focal liver lesions. Material/Method: Patients with various hepatic changes were examined using standard US unit equipped with a transducer positioning system based on the magnetic field sensor. The data were imported by the graphical workstation and processed. The computer analysis comprised 3D image segmentation as well as the lesion volume and echogeneity determination. Moreover, a set of parameters was calculated to quantify morphology and texture of the lesions. Results: The collected results confirmed that calculations of lesion volume and echogeneity as well as quantification of the morphological features have a limited value in the diagnosis of liver tumors. In contrast, the quantification of selected texture features of the 3D liver images enables differentiation between malignant and benign tumors. The best parameters to distinguish between different types of the liver lesions are angular second moment and entropy. Conclusions: The results suggest that quantification of the texture features offers the supplementation of the routine US approach to the liver lesion diagnosis by a new quantitative tool.
dc.affiliationpl
Wydział Lekarski
dc.contributor.authorpl
Rokita, Eugeniusz - 133291
dc.contributor.authorpl
Tatoń, Grzegorz - 133654
dc.contributor.authorpl
Sierżęga, Marek - 133388
dc.contributor.authorpl
Kulig, Jan - 130535
dc.contributor.authorpl
Urbanik, Andrzej - 133713
dc.date.accessionpl
2018-12-10
dc.date.accessioned
2018-12-10T11:28:09Z
dc.date.available
2018-12-10T11:28:09Z
dc.date.issuedpl
2009
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. 33-34
dc.description.numberpl
2
dc.description.physicalpl
28-34
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
74
dc.identifier.articleidpl
878389
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/63135
dc.identifier.weblinkpl
http://archiwum.polradiol.com/abstract/index/idArt/878389
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subject.enpl
ultrasonic imaging
dc.subject.enpl
three-dimensional imaging
dc.subject.enpl
image analysis
dc.subject.enpl
liver lesions
dc.subtypepl
Article
dc.titlepl
Quantitative analysis of 3D US images in the relationship with liver lesion diagnosis
dc.title.alternativepl
Ilościowa analiza trójwymiarowych obrazów USG w zastosowaniu do diagnostyki zmian w wątrobie
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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