Development of a Dual-Energy Computed Tomography-Based Segmentation Method for Collateral Ligaments: A Porcine Knee Model

Du, Yeh-Ming; Yang, Qing-Fang; Shen, Wan-Ting; Huang, Hsuan‐Ming

doi:10.1007/s40846-018-0424-8

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…So in this paper, a multi-energy least square segmentation technique was utilized to obtain a compositional map. This approach is similar to the dual energy x-ray CT techniques, which utilise the fact that the different components have different energy-dependence behaviour in their x-ray absorption properties [7].…”

Section: Multi-energy Least Square Segmentation Methods 41 Methodsmentioning

confidence: 99%

Sandstone 3D compositional microstructure analysis with synchrotron-based multi-energy x-ray micro-CT

Kong

Yang

et al. 2020

Mater. Res. Express

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Three-dimensional (3D) characterization of materials microstructure is important in understanding their physical and chemical properties. In this paper, the compositional microstructure of a sandstone sample from Yaodian area of Yan'an in Erdors Basin is analyzed using synchrotron-based multienergy x-ray micro-CT data. The x-ray CT data of the sample are acquired at beam energies 25 KeV, 35 KeV and 45 KeV. The strip artifact in the sinogram images are corrected with a least square fitting method. The corrected sinogram image data are reconstructed with the X-tract software, and the reconstructed images under different energy spectra are calibrated. Finally, the multi-energy least square segmentation method is used to characterize the 3D microstructure of sandstone sample with the Data-Constrained Modeling (DCM) software. The results show that the sample has 71.8% of quartz and albite which is displayed as blue, calcite (22.3%) is displayed as red, pyrite (0.6%) is displayed as yellow and porosity (5.3%) is displayed as white.

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Section: Multi-energy Least Square Segmentation Methods 41 Methodsmentioning

confidence: 99%

Sandstone 3D compositional microstructure analysis with synchrotron-based multi-energy x-ray micro-CT

Kong

Yang

et al. 2020

Mater. Res. Express

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Cross-Tissue/Organ Transfer Learning for the Segmentation of Ultrasound Images Using Deep Residual U-Net

Huang

Chen

et al. 2021

J. Med. Biol. Eng.

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The utility of virtual monochromatic dual-energy computed tomography (DECT) in meniscal imaging: a technical evaluation

Adams,

van Heerden,

Reis

et al. 2024

Pol J Radiol

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PurposeTo determine the feasibility of meniscal imaging using virtual monochromatic images obtained through dual-energy computed tomography (DECT) technique, and to determine which keV levels optimise contrast resolution.Material and methodsAll DECT exams were performed on a Discovery CT750 HD system from GE Healthcare. Virtual monochromatic images were reconstructed at 40 keV, 73 keV, 106 keV, and 139 keV. Contrast resolution of the medial and lateral menisci using a 5-point Likert scale at each keV level was determined through a consensus agreement by 2 fellowship-trained musculoskeletal radiologists. Friedman’s and Wilcoxon signed rank tests were used to compare visualisation scores across different keV levels.ResultsSeventeen knee exams from 10 patients met criteria for inclusion in the study. All patients included in the study cohort were male. The median age of patients was 46 years (interquartile range, 35-53 years). Virtual monochromatic images at 40 keV demonstrated highest contrast resolution of the menisci, with a statistically significant difference between contrast resolution scores at 40 keV and 76 keV, Friedman test: p < 0.0001.ConclusionsMeniscal imaging is feasible using DECT virtual monochromatic images at low keV levels. Improved contrast resolution at these specified KeV values could pave the way for further research in this field to determine its role in the future as an alternative option for assessment of the menisci in patients with contraindications to MRI or in the setting of a periarticular ferromagnetic foreign body obscuring the field of view.

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Development of a Dual-Energy Computed Tomography-Based Segmentation Method for Collateral Ligaments: A Porcine Knee Model

Cited by 3 publications

References 20 publications

Sandstone 3D compositional microstructure analysis with synchrotron-based multi-energy x-ray micro-CT

Sandstone 3D compositional microstructure analysis with synchrotron-based multi-energy x-ray micro-CT

Cross-Tissue/Organ Transfer Learning for the Segmentation of Ultrasound Images Using Deep Residual U-Net

The utility of virtual monochromatic dual-energy computed tomography (DECT) in meniscal imaging: a technical evaluation

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