Background: Lower extremity peripheral artery disease frequently presents with calcifications which reduces the accuracy of computed tomography (CT) angiography, especially below-the-knee. Photon-counting detector (PCD)-CT offers improved spatial resolution and less calcium blooming. We aimed to identify the optimal reconstruction parameters for PCD-CT angiography of the lower legs.
Methods: Tubes with different diameters (1-5 mm) were filled with different iodine concentrations and scanned in a water container. Images were reconstructed with 0.4 mm isotropic resolution using a quantitative kernel at all available sharpness levels (Qr36 to Qr76) and using different levels of quantum iterative reconstruction (QIR-2-4). Noise and image sharpness were determined for all reconstructions. Additionally, CT angiograms of 20 patients, reconstructed with a medium (Qr44), sharp (Qr60), and ultrasharp (Qr72) kernel at QIR-2-4, were evaluated by three readers assessing noise, delineation of plaques and vessel walls, and overall quality.
Results: In the phantom study, increased kernel sharpness led to higher image noise (e.g., 16, 38, 77 HU for Qr44, Qr60, Qr72, and QIR-3). Image sharpness increased with increasing kernel sharpness, reaching a plateau at the medium-high level 60. Higher QIR levels decreased image noise (e.g., 51, 38, 25 HU at QIR-2-4 and Qr60) without reducing vessel sharpness. The qualitative in vivo results confirmed these findings: the sharp kernel (Qr60) with the highest QIR yielded the best overall quality.
Conclusion: The combination of a sharpness level optimized reconstruction kernel (Qr60) and the highest QIR level yield the best image quality for PCD-CT angiography of the lower legs when reconstructed at 0.4-mm resolution.
Relevance Statement: Using high-resolution PCD-CT angiography with optimized reconstruction parameters might improve diagnostic accuracy and confidence in peripheral artery disease of the lower legs.
Key Points: Effective exploitation of the potential of PCD-CT angiography requires optimized reconstruction parameters. Too soft or too sharp reconstruction kernels reduce image quality. The highest level of quantum iterative reconstruction provides the best image quality.
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http://dx.doi.org/10.1186/s41747-024-00481-x | DOI Listing |
J Colloid Interface Sci
December 2024
Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education, College of Chemistry and Materials Science, Northwest University, Xi'an 710127, China; Shaanxi Key Laboratory for Carbon Neutral Technology, Northwest University, Xi'an 710127, China. Electronic address:
The rational design of highly efficient and cost-effective oxygen evolution reaction (OER) electrocatalysts is crucial for hydrogen production through electrocatalytic water splitting. Although the crystalline/amorphous heterostructure shows great potential in enhancing OER activity, its fabrication presents significantly greater challenges compared to that of crystalline/crystalline heterostructures. Herein, a microwave irradiation strategy is developed to construct reduced graphene oxide supported crystalline NiP/amorphous FePO heterostructure (NiP/FePO/RGO) as an efficient OER electrocatalyst.
View Article and Find Full Text PDFJ Magn Reson
December 2024
Department of Low-Temperature Physics, Faculty of Mathematics and Physics, Charles University, V Holešovičkách 747/2, 180 00 Prague 8, Czech Republic.
PCA-based denoising usually implies either discarding a number of high-index principal components (PCs) of a data matrix or their attenuation according to a regularization model. This work introduces an alternative, model-free, approach to high-index PC attenuation that seeks to average values of PC vectors as if they were expected from noise perturbation of data. According to the perturbation theory, the average PCs are attenuated versions of the clean PCs of noiseless data - the higher the noise-related content in a PC vector, the lower is its average's norm.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
December 2024
Research Center for Medical AI, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Purpose: In laparoscopic liver surgery, registering preoperative CT-extracted 3D models with intraoperative laparoscopic video reconstructions of the liver surface can help surgeons predict critical liver anatomy. However, the registration process is challenged by non-rigid deformation of the organ due to intraoperative pneumoperitoneum pressure, partial visibility of the liver surface, and surface reconstruction noise.
Methods: First, we learn point-by-point descriptors and encode location information to alleviate the limitations of descriptors in location perception.
Arch Orthop Trauma Surg
December 2024
Duke University Health System, Durham, USA.
Background: Jehovah's Witness patients refuse blood transfusion because of their religious beliefs making total hip arthroplasty (THA) challenging. This study aims to determine the safety of THA in Jehovah's Witness patients using standard perioperative protocols as well as evaluate the effectiveness of tranexamic acid (TXA) in controlling blood loss.
Methods: Databases from two tertiary academic centers were queried from 2003 to 2021 to identify THA patients.
Sci Rep
December 2024
Department of Otorhinolaryngology, Head and Neck Surgery, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
The demand for cartilage reconstruction in the head and neck region arises frequently due to trauma, malignancies, and hereditary diseases. Traditional tissue engineering produces cartilage from a small biopsy by combining biomaterials and expanded cells. However, this top-down approach is associated with several limitations, including the non-uniform distribution of cells, lack of physiological cell-cell and cell-matrix interactions, and compromised mechanical properties and tissue architecture.
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