Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2012:
Metadata Last Update2020: administrator
Citation KeySalvadeoMascLeva:2012:CoFiCT
TitleContextual filtering of CT images using Markovian Wiener filters with a Non Local Means approach for statistical estimation
FormatDVD, On-line.
Access Date2021, Jan. 28
Number of Files1
Size676 KiB
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Author1 Salvadeo, Denis Henrique Pinheiro
2 Mascarenhas, Nelson Delfino d'Ávila
3 Levada, Alexandre Luís Magalhães
Affiliation1 Federal University of São Carlos (UFSCar)
2 Federal University of São Carlos (UFSCar)
3 Federal University of São Carlos (UFSCar)
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto
DateAug. 22-25, 2012
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2012-09-20 16:45:34 :: -> administrator :: 2012
2020-02-19 02:18:28 :: administrator -> :: 2012
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsWiener filter, Fisher Information, Markov Random Fields, Non Local Means approach, image denoising, Computed Tomography.
AbstractRecently, investigations on medical imaging have been indicating a strong correlation between cases of cancers and the increasing number of Computed Tomography (CT) exams, mainly due to high radiation doses to which patients are exposed during the data acquisition process. Thus, there is a need to reduce the radiation doses whereas still keeping satisfactory quality images for diagnosis. In this paper, we propose to filter noise in CT images using contextual versions of Wiener Filter such as Generalized Wiener Filter (GWF) and Non Local Means approach for parameter estimation. Experiments show that the proposed methods are promising, since they provide good results with no significant increase in the computational cost.
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