3-D Tomosynthesis image reconstruction using total variation

Metin Ertas, Aydin Akan, Kubra Cengiz, Mustafa Kamasak, Saeed Seyyedi, Isa Yildirim

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

In tomosynthesis imaging, out-of-focus slice blur problem arises due to incomplete sampling problem. Several approaches have been proposed to deal with this problem. Algebraic reconstruction technique (ART) is one of the most commonly used methods. Total variation (TV) minimization has recently been applied to improve performance of the classical approaches. Though it is able to provide improved results, its sensitivity to the regularization parameter is still an important issue. Former studies addressed largely 2-D tomosynthesis image reconstruction problem. In this study, a 3-D phantom model was used to understand the effect of total variation minimization on a 3-D image reconstruction problem. The significance of selecting an appropriate regularization parameter of TV not addressed in the prior studies was also investigated by means of comparing root mean square error (RMSE) and contrast to noise ratio (CNR) values.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings of the 2012 ASE International Conference on BioMedical Computing, BioMedCom 2012
YayınlayanIEEE Computer Society
Sayfalar1-5
Sayfa sayısı5
ISBN (Basılı)9780769549385
DOI'lar
Yayın durumuYayınlandı - 2012
Etkinlik2012 ASE International Conference on BioMedical Computing, BioMedCom 2012 - Washington, DC, United States
Süre: 14 Ara 201216 Ara 2012

Yayın serisi

AdıProceedings of the 2012 ASE International Conference on BioMedical Computing, BioMedCom 2012

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???event.eventtypes.event.conference???2012 ASE International Conference on BioMedical Computing, BioMedCom 2012
Ülke/BölgeUnited States
ŞehirWashington, DC
Periyot14/12/1216/12/12

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