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A Ring Artifact Correction Method: Validation by Micro-CT Imaging with Flat-Panel Detectors and a 2D Photon-Counting Detector

We introduce an efficient ring artifact correction method for a cone-beam computed tomography (CT). In the first step, we correct the defective pixels whose values are close to zero or saturated in the projection domain. In the second step, we compute the mean value at each detector element along th...

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Autores principales: Eldib, Mohamed Elsayed, Hegazy, Mohamed, Mun, Yang Ji, Cho, Myung Hye, Cho, Min Hyoung, Lee, Soo Yeol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336082/
https://www.ncbi.nlm.nih.gov/pubmed/28146088
http://dx.doi.org/10.3390/s17020269
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author Eldib, Mohamed Elsayed
Hegazy, Mohamed
Mun, Yang Ji
Cho, Myung Hye
Cho, Min Hyoung
Lee, Soo Yeol
author_facet Eldib, Mohamed Elsayed
Hegazy, Mohamed
Mun, Yang Ji
Cho, Myung Hye
Cho, Min Hyoung
Lee, Soo Yeol
author_sort Eldib, Mohamed Elsayed
collection PubMed
description We introduce an efficient ring artifact correction method for a cone-beam computed tomography (CT). In the first step, we correct the defective pixels whose values are close to zero or saturated in the projection domain. In the second step, we compute the mean value at each detector element along the view angle in the sinogram to obtain the one-dimensional (1D) mean vector, and we then compute the 1D correction vector by taking inverse of the mean vector. We multiply the correction vector with the sinogram row by row over all view angles. In the third step, we apply a Gaussian filter on the difference image between the original CT image and the corrected CT image obtained in the previous step. The filtered difference image is added to the corrected CT image to compensate the possible contrast anomaly that may appear due to the contrast change in the sinogram after removing stripe artifacts. We applied the proposed method to the projection data acquired by two flat-panel detectors (FPDs) and a silicon-based photon-counting X-ray detector (PCXD). Micro-CT imaging experiments of phantoms and a small animal have shown that the proposed method can greatly reduce ring artifacts regardless of detector types. Despite the great reduction of ring artifacts, the proposed method does not compromise the original spatial resolution and contrast.
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spelling pubmed-53360822017-03-16 A Ring Artifact Correction Method: Validation by Micro-CT Imaging with Flat-Panel Detectors and a 2D Photon-Counting Detector Eldib, Mohamed Elsayed Hegazy, Mohamed Mun, Yang Ji Cho, Myung Hye Cho, Min Hyoung Lee, Soo Yeol Sensors (Basel) Article We introduce an efficient ring artifact correction method for a cone-beam computed tomography (CT). In the first step, we correct the defective pixels whose values are close to zero or saturated in the projection domain. In the second step, we compute the mean value at each detector element along the view angle in the sinogram to obtain the one-dimensional (1D) mean vector, and we then compute the 1D correction vector by taking inverse of the mean vector. We multiply the correction vector with the sinogram row by row over all view angles. In the third step, we apply a Gaussian filter on the difference image between the original CT image and the corrected CT image obtained in the previous step. The filtered difference image is added to the corrected CT image to compensate the possible contrast anomaly that may appear due to the contrast change in the sinogram after removing stripe artifacts. We applied the proposed method to the projection data acquired by two flat-panel detectors (FPDs) and a silicon-based photon-counting X-ray detector (PCXD). Micro-CT imaging experiments of phantoms and a small animal have shown that the proposed method can greatly reduce ring artifacts regardless of detector types. Despite the great reduction of ring artifacts, the proposed method does not compromise the original spatial resolution and contrast. MDPI 2017-01-30 /pmc/articles/PMC5336082/ /pubmed/28146088 http://dx.doi.org/10.3390/s17020269 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Eldib, Mohamed Elsayed
Hegazy, Mohamed
Mun, Yang Ji
Cho, Myung Hye
Cho, Min Hyoung
Lee, Soo Yeol
A Ring Artifact Correction Method: Validation by Micro-CT Imaging with Flat-Panel Detectors and a 2D Photon-Counting Detector
title A Ring Artifact Correction Method: Validation by Micro-CT Imaging with Flat-Panel Detectors and a 2D Photon-Counting Detector
title_full A Ring Artifact Correction Method: Validation by Micro-CT Imaging with Flat-Panel Detectors and a 2D Photon-Counting Detector
title_fullStr A Ring Artifact Correction Method: Validation by Micro-CT Imaging with Flat-Panel Detectors and a 2D Photon-Counting Detector
title_full_unstemmed A Ring Artifact Correction Method: Validation by Micro-CT Imaging with Flat-Panel Detectors and a 2D Photon-Counting Detector
title_short A Ring Artifact Correction Method: Validation by Micro-CT Imaging with Flat-Panel Detectors and a 2D Photon-Counting Detector
title_sort ring artifact correction method: validation by micro-ct imaging with flat-panel detectors and a 2d photon-counting detector
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336082/
https://www.ncbi.nlm.nih.gov/pubmed/28146088
http://dx.doi.org/10.3390/s17020269
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