Numerical segmentation image technique (NSI) in estimation of extraocular muscles volume in Graves' ophthalmopathy

2007
journal article
article
dc.abstract.enBackground: The volume enlargement of extraocular muscles is one of the most frequent reasons of exophthalmos in Graves' ophthalmopathy. Various diameters are widely used in clinical practice for estimating muscles' size. They are not sufficient for the precise and reliable determination of their real volume. Modern computing systems enable numerical analysis of medical images including Magnetic Resonance Imaging (MRI) in an almost automatic way. The aims of this study were: The analysis of different MRI sequences routinely used in the examination of intraorbital structures and their value for NSI application. Determination of clinical value of an NSI program in estimating extraocular muscle volume and comparing the obtained results with the degree of exophthalmos. Material/Methods: 45 patients were qualified to the study and underwent MR examinations in 1, 5 T scanner. The measurements of the degree of exophthalmos and quantity estimation of the total eye muscle volume using the NSI application were made. Results: The best sequence for the NSI application is SE T1. Correlation between muscle volume measurements obtained using the automatic method and after manual modification was the highest for this sequence. In all sequences the final values of volumes for each muscle after manual corrections were close what proves the repetitiveness of the NSI technique. Strong correlation between the total eye muscle volume determined by the NSI and the exophthalmos was found. Conclusions: T1 SE has the highest value for using NSI application for all sequences routinely used in MRI evaluation of orbital structures. The NSI technique is a clinically valuable application that provides objective volume data calculated individually for each orbit. The NSI technique allows more objective estimation of pathological processes leading to exophthalmos; it can be particularly helpful in monitoring discrete changes in muscle volume during the treatment.pl
dc.contributor.authorMajos, Agatapl
dc.contributor.authorGrzelak, Piotrpl
dc.contributor.authorMłynarczyk, Wojciechpl
dc.contributor.authorStefańczyk, Ludomirpl
dc.date.accession2019-06-06pl
dc.date.accessioned2019-06-06T10:33:30Z
dc.date.available2019-06-06T10:33:30Z
dc.date.issued2007pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. 80-81pl
dc.description.number2pl
dc.description.physical75-81pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume72pl
dc.identifier.articleid478117pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.projectROD UJ / OPpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/76715
dc.identifier.weblinkhttp://archiwum.inforadiologia.pl/download/index/idArt/478117.htmlpl
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.enGraves' opthalmopathypl
dc.subject.enmuscles' volumepl
dc.subject.ennumerical analysispl
dc.subject.ensegmentationpl
dc.subtypeArticlepl
dc.titleNumerical segmentation image technique (NSI) in estimation of extraocular muscles volume in Graves' ophthalmopathypl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
Background: The volume enlargement of extraocular muscles is one of the most frequent reasons of exophthalmos in Graves' ophthalmopathy. Various diameters are widely used in clinical practice for estimating muscles' size. They are not sufficient for the precise and reliable determination of their real volume. Modern computing systems enable numerical analysis of medical images including Magnetic Resonance Imaging (MRI) in an almost automatic way. The aims of this study were: The analysis of different MRI sequences routinely used in the examination of intraorbital structures and their value for NSI application. Determination of clinical value of an NSI program in estimating extraocular muscle volume and comparing the obtained results with the degree of exophthalmos. Material/Methods: 45 patients were qualified to the study and underwent MR examinations in 1, 5 T scanner. The measurements of the degree of exophthalmos and quantity estimation of the total eye muscle volume using the NSI application were made. Results: The best sequence for the NSI application is SE T1. Correlation between muscle volume measurements obtained using the automatic method and after manual modification was the highest for this sequence. In all sequences the final values of volumes for each muscle after manual corrections were close what proves the repetitiveness of the NSI technique. Strong correlation between the total eye muscle volume determined by the NSI and the exophthalmos was found. Conclusions: T1 SE has the highest value for using NSI application for all sequences routinely used in MRI evaluation of orbital structures. The NSI technique is a clinically valuable application that provides objective volume data calculated individually for each orbit. The NSI technique allows more objective estimation of pathological processes leading to exophthalmos; it can be particularly helpful in monitoring discrete changes in muscle volume during the treatment.
dc.contributor.authorpl
Majos, Agata
dc.contributor.authorpl
Grzelak, Piotr
dc.contributor.authorpl
Młynarczyk, Wojciech
dc.contributor.authorpl
Stefańczyk, Ludomir
dc.date.accessionpl
2019-06-06
dc.date.accessioned
2019-06-06T10:33:30Z
dc.date.available
2019-06-06T10:33:30Z
dc.date.issuedpl
2007
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. 80-81
dc.description.numberpl
2
dc.description.physicalpl
75-81
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
72
dc.identifier.articleidpl
478117
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/76715
dc.identifier.weblinkpl
http://archiwum.inforadiologia.pl/download/index/idArt/478117.html
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
Graves' opthalmopathy
dc.subject.enpl
muscles' volume
dc.subject.enpl
numerical analysis
dc.subject.enpl
segmentation
dc.subtypepl
Article
dc.titlepl
Numerical segmentation image technique (NSI) in estimation of extraocular muscles volume in Graves' ophthalmopathy
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

* The migration of download and view statistics prior to the date of April 8, 2024 is in progress.

Views
2
Views per month
Views per city
Shanghai
1
Downloads
majos_grzelak_mlynarczyk_stefanczyk_numerical_segmentation_image_technique_2007.pdf
25
majos_grzelak_mlynarczyk_stefanczyk_numerical_segmentation_image_technique_2007.odt
7