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Open AccessArticle

A Rigid Motion Artifact Reduction Method for CT Based on Blind Deconvolution

1 and 1,2,*
1
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
2
School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China
*
Author to whom correspondence should be addressed.
Algorithms 2019, 12(8), 155; https://doi.org/10.3390/a12080155
Received: 15 July 2019 / Accepted: 29 July 2019 / Published: 31 July 2019
(This article belongs to the Special Issue The Second Symposium on Machine Intelligence and Data Analytics)
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Abstract

In computed tomography (CT), artifacts due to patient rigid motion often significantly degrade image quality. This paper suggests a method based on iterative blind deconvolution to eliminate motion artifacts. The proposed method alternately reconstructs the image and reduces motion artifacts in an iterative scheme until the difference measure between two successive iterations is smaller than a threshold. In this iterative process, Richardson–Lucy (RL) deconvolution with spatially adaptive total variation (SATV) regularization is inserted into the iterative process of the ordered subsets expectation maximization (OSEM) reconstruction algorithm. The proposed method is evaluated on a numerical phantom, a head phantom, and patient scan. The reconstructed images indicate that the proposed method can reduce motion artifacts and provide high-quality images. Quantitative evaluations also show the proposed method yielded an appreciable improvement on all metrics, reducing root-mean-square error (RMSE) by about 30% and increasing Pearson correlation coefficient (CC) and mean structural similarity (MSSIM) by about 15% and 20%, respectively, compared to the RL-OSEM method. Furthermore, the proposed method only needs measured raw data and no additional measurements are needed. Compared with the previous work, it can be applied to any scanning mode and can realize six degrees of freedom motion artifact reduction, so the artifact reduction effect is better in clinical experiments. View Full-Text
Keywords: computed tomography (CT); iterative blind deconvolution; motion artifacts; Richardson–Lucy (RL) deconvolution; spatially adaptive total variation (SATV) regularization computed tomography (CT); iterative blind deconvolution; motion artifacts; Richardson–Lucy (RL) deconvolution; spatially adaptive total variation (SATV) regularization
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Zhang, Y.; Zhang, L. A Rigid Motion Artifact Reduction Method for CT Based on Blind Deconvolution. Algorithms 2019, 12, 155.

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