Combining dual-tree complex wavelets and multiresolution in iterative CT reconstruction with application to metal artifact reduction

Tutkimustuotos: ArticleScientificvertaisarvioitu

Abstrakti

This paper investigates the benefits of data filtering via complex dual wavelet transform for metal artifact reduction (MAR). The advantage of using complex dual wavelet basis for MAR was studied on simulated dental computed tomography (CT) data for its efficiency in terms of noise suppression and removal of secondary artifacts. Dual-tree complex wavelet transform (DT-CWT) was selected due to its enhanced directional analysis of image details compared to the ordinary wavelet transform. DT-CWT was used for multiresolution decomposition within a modified total variation (TV) regularized inversion algorithm.
AlkuperäiskieliEnglanti
Artikkeli116
JulkaisuBioMedical Engineering Online
Vuosikerta18
Numero1
DOI - pysyväislinkit
TilaJulkaistu - 5 jouluk. 2019
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Julkaisufoorumi-taso

  • Jufo-taso 1

Sormenjälki

Sukella tutkimusaiheisiin 'Combining dual-tree complex wavelets and multiresolution in iterative CT reconstruction with application to metal artifact reduction'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä