Tampere University of Technology

TUTCRIS Research Portal

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

Research output: Contribution to journalArticleScientificpeer-review


Original languageEnglish
Article number116
JournalBioMedical Engineering Online
Issue number1
Publication statusPublished - 5 Dec 2019
Publication typeA1 Journal article-refereed


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.

Publication forum classification

Field of science, Statistics Finland