Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/118446
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dc.contributor.authorAhmed, Shamim-
dc.contributor.authorKrüger, Marian-
dc.contributor.authorWillomitzer, Christianv-
dc.contributor.authorZakaria, Golam Abu-
dc.date.accessioned2025-03-05T07:22:10Z-
dc.date.available2025-03-05T07:22:10Z-
dc.date.issued2016-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/120405-
dc.identifier.urihttp://dx.doi.org/10.25673/118446-
dc.description.abstractIn this work, we developed a method to handle the image quality test-tool precisely. This test-tool is important to evaluate the quality of the medical images for pre-treatment planning phase. But the achieved images are estimated by naked eyes, which does not provide the precise result. Our main goal is to get the desired image parameters numerically. This numerical estimation overcomes the limitation of naked eye observation. Hence, it enhances the pre-treatment planning. The ETR-1 test-tool is considered here. The contrast, the low contrast details and line-pairs (lp/mm) were estimated.eng
dc.language.isoeng-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subject.ddc610-
dc.titleNumerical evaluation of image parameters of ETR-1eng
dc.typeArticle-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleCurrent directions in biomedical engineering-
local.bibliographicCitation.volume2-
local.bibliographicCitation.issue1-
local.bibliographicCitation.pagestart489-
local.bibliographicCitation.pageend491-
local.bibliographicCitation.publishernameDe Gruyter-
local.bibliographicCitation.publisherplaceBerlin-
local.bibliographicCitation.doi10.1515/cdbme-2016-0108-
local.openaccesstrue-
dc.identifier.ppn174942469X-
cbs.publication.displayform2016-
local.bibliographicCitation.year2016-
cbs.sru.importDate2025-03-05T07:21:33Z-
local.bibliographicCitationEnthalten in Current directions in biomedical engineering - Berlin : De Gruyter, 2015-
local.accessrights.dnbfree-
Appears in Collections:Open Access Publikationen der MLU

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