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

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/473964.do
DOI
10.3390/s17020269
Title
A Ring Artifact Correction Method: Validation by Micro-CT Imaging withFlat-Panel Detectors and a 2D Photon-Counting Detector
Description
This work was supported by the National Research Foundation (NRF) ofKorea funded by the Korean government (No: 2015M2A2A7A03043177).
abstract
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.
provenance
Made available in Cube on 2018-09-28T10:33:36Z (GMT). No. of bitstreams: 0
language
English
author
Eldib, Mohamed Elsayed
Hegazy, Mohamed
Mun, Yang Ji
Cho, Myung Hye
Cho, Min Hyoung
Lee, Soo Yeol
accessioned
2018-09-28T10:33:36Z
available
2018-09-28T10:33:36Z
issued
2017
citation
SENSORS(17): 2
issn
1424-8220
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/473964.do
Funder
과학기술정보통신부
Funding Program
방사선기술개발사업
Project ID
1711058782
Jurisdiction
Rep.of Korea
Project Name
Development of low-dose and high-resolution CT scanners for 3D-based digital dentistry
rights
openAccess
subject
ring artifact correction
flat-panel detector
photon-counting X-raydetector
correction vector
Gaussian filter
type
article


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