Data consistency condition–based beam-hardening correction

2011 ◽  
Vol 50 (7) ◽  
pp. 076501 ◽  
Author(s):  
Xuanqin Mou
Keyword(s):  
Consistency Condition ◽  
Data Consistency ◽  
Beam Hardening ◽  
Beam Hardening Correction

An imperceptible incorrectness in deriving data consistency condition from John’s equation for cone-beam CT imaging

Optik ◽  
2020 ◽  
Vol 202 ◽  
pp. 163603
Author(s):  
Shaojie Tang ◽  
Baolei Li ◽  
Zhiwei Qiao ◽  
Yining Zhu ◽  
Cong Guo ◽  
...  
Keyword(s):  
Cone Beam Ct ◽  
Consistency Condition ◽  
Ct Imaging ◽  
Data Consistency ◽  
Cone Beam

Beam hardening correction for sparse-view CT reconstruction

2015 ◽  
Author(s):  
Wenlei Liu ◽  
Junyan Rong ◽  
Peng Gao ◽  
Qimei Liao ◽  
HongBing Lu
Keyword(s):  
Ct Reconstruction ◽  
Beam Hardening ◽  
Beam Hardening Correction

scholarly journals Effect of micro-computed tomography reconstruction protocols on bone fractal dimension analysis

2019 ◽  
Vol 48 (8) ◽  
pp. 20190235
Author(s):  
Hugo Gaêta-Araujo ◽  
Nicolly Oliveira-Santos ◽  
Danieli Moura Brasil ◽  
Eduarda Helena Leandro do Nascimento ◽  
Daniela Verardi Madlum ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Trabecular Bone ◽  
Micro Ct ◽  
Ct Reconstruction ◽  
Micro Computed Tomography ◽  
Beam Hardening ◽  
Scan Time ◽  
Beam Hardening Correction ◽  
Box Counting Method ◽  
Artefact Correction

Objectives: To evaluate the influence of the level of three micro-CT reconstruction tools: beam-hardening correction (BHC), smoothing filter (SF), and ring artefact correction (RAC) on the fractal dimension (FD) analysis of trabecular bone. Methods: Five Wistar rats’ maxillae were individually scanned in a SkyScan 1174 micro-CT device, under the following settings: 50 kV, 800 µA, 10.2 µm voxel size, 0.5 mm Al filter, rotation step 0.5°, two frames average, 180° rotation and scan time of 35 min. The raw images were reconstructed under the standard protocol (SP) recommended by the manufacturer, a protocol without any artefact correction tools (P0) and 35 additional protocols with different combinations of SF, RAC and BHC levels. The same volume of interest was established in all reconstructions for each maxilla and the FD was calculated using the Kolmogorov (box counting) method. One-way ANOVA with Dunnet’s post-hoc test was used to compare the FD of each reconstruction protocol (P0–P35) with the SP (α = 5%). Multiple linear regression verified the dependency of reconstruction tools in FD. Results: Overall, FD values are not dependent on RAC (p = 0.965), but increased significantly when the level of BHC and SF increased (p < 0.001). FD values from protocols with BHC at 45% combined with SF of 2, and BHC at 30% combined with SF of 4 or 6 had no statistical difference compared to SP. Conclusions: BHC and SF tools affect the FD values of micro-CT images of the trabecular bone. Therefore, these reconstruction parameters should be standardized when the FD is analyzed.

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