Abstract
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.
Original language | English |
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Article number | 116 |
Journal | BioMedical Engineering Online |
Volume | 18 |
Issue number | 1 |
DOIs | |
Publication status | Published - 5 Dec 2019 |
Publication type | A1 Journal article-refereed |
Publication forum classification
- Publication forum level 1