Effects of convolution filter with beam hardening correction on computed tomography image quality

Marques, Jeferson Barbosa; Renha, Simone Kodlulovich; Pereira, Hélcio Mendonça; Lima, Thiago Viana Miranda; Simões, Rafael Figueiredo Pohlmann

doi:10.1016/j.ejmp.2023.102599

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…This evaluation aims to ensure that the obtained slice thickness is within the tolerance level of the set slice thickness, and in turn, leads to an accurate diagnosis. It is recommended that an evaluation of slice thickness is conducted annually [23] with specialized dedicated phantoms such as the Catphan phantom [24,25].…”

Section: Introductionmentioning

confidence: 99%

A challenge and solution for automatic thin slice thickness measurements on images of the Catphan phantom

Anam,

Amilia,

Naufal

et al. 2024

Biomed. Phys. Eng. Express

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Purpose:This study proposes a method for automatically measuring the thickness of thin slices on images of the Catphan phantom.Methods:In the proposed method, the angle of the phantom's orientation was determined based on the relative coordinates of the four hole objects in the phantom. After the angle of the wires were determined, the profiles of pixel values across the wire objects were constructed. Finally, their full widths at half maximum (FWHMs) were determined and multiplied by tan 23o to obtain the slice thicknesses of the images. The results of the proposed method were compared to a previous method, which used the Hough transform to obtain the phantom’s orientation. We used slice thicknesses ranging from 0.8 mm to 5.0 mm, and phantom angles from 0o to 10o.Results:Our proposed method detected the angle of the phantom accurately in the thin slice thickness, while a previous method did not accurately detect the angle. The results of the slice thickness using this method were slightly higher compared to the previous method. However, the results of the two methods did not differ significantly (p-value > 0.05) with the largest difference is 7.9 % at a slice thickness of 5 mm. Using different angles, the proposed method detected the angle more accurately. Again, the slice thicknesses were not significantly different from the previous method (p-value > 0.05) with the largest difference of 8.8 % at an angle of 6o.Conclusion:The proposed method for measuring the thickness of thin slices in an image of the Catphan phantom, based on the relative coordinates of the four hole objects in the phantom, outperformed a previous method based on the Hough transform.

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Section: Introductionmentioning

confidence: 99%

A challenge and solution for automatic thin slice thickness measurements on images of the Catphan phantom

Anam,

Amilia,

Naufal

et al. 2024

Biomed. Phys. Eng. Express

View full text Add to dashboard Cite

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Micro computed tomography analysis of barley during the first 24 hours of germination

Doolan,

Lewsey,

Peirats-Llobet

et al. 2024

Plant Methods

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Background Grains make up a large proportion of both human and animal diets. With threats to food production, such as climate change, growing sustainable and successful crops is essential to food security in the future. Germination is one of the most important stages in a plant’s lifecycle and is key to the success of the resulting plant as the grain undergoes morphological changes and the development of specific organs. Micro-computed tomography is a non-destructive imaging technique based on the differing x-ray attenuations of materials which we have applied for the accurate analysis of grain morphology during the germination phase. Results Micro Computed Tomography conditions and parameters were tested to establish an optimal protocol for the 3-dimensional analysis of barley grains. When comparing optimal scanning conditions, it was established that no filter, 0.4 degrees rotation step, 5 average frames, and 2016 × 1344 camera binning is optimal for imaging germinating grains. It was determined that the optimal protocol for scanning during the germination timeline was to scan individual grains at 0 h after imbibition (HAI) and then the same grain again at set time points (1, 3, 6, 24 HAI) to avoid any negative effects from X-ray radiation or disruption to growing conditions. Conclusion Here we sought to develop a method for the accurate analysis of grain morphology without the negative effects of possible radiation exposure. Several factors have been considered, such as the scanning conditions, reconstruction, and possible effects of X-ray radiation on the growth rate of the grains. The parameters chosen in this study give effective and reliable results for the 3-dimensional analysis of macro structures within barley grains while causing minimal disruption to grain development.

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Effects of convolution filter with beam hardening correction on computed tomography image quality

Cited by 2 publications

References 30 publications

A challenge and solution for automatic thin slice thickness measurements on images of the Catphan phantom

A challenge and solution for automatic thin slice thickness measurements on images of the Catphan phantom

Micro computed tomography analysis of barley during the first 24 hours of germination

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