Publications by authors named "S Faby"
Objectives: The aim of this study was to assess the impact of an iterative metal artifact reduction (iMAR) algorithm combined with virtual monoenergetic images (VMIs) for artifact reduction in photon-counting detector computed tomography (PCDCT) during interventions.
Materials And Methods: Using an abdominal phantom, we conducted evaluations on the efficacy of iMAR and VMIs for mitigating image artifacts during interventions on a PCDCT. Four different puncture devices were employed under 2 scan modes (QuantumSn at 100 kV, Quantumplus at 140 kV) to simulate various clinical scenarios.
Objectives: Urolithiasis, a common and painful urological condition, is influenced by factors such as lifestyle, genetics, and medication. Differentiating between different types of kidney stones is crucial for personalized therapy. The purpose of this study is to investigate the use of photon-counting computed tomography (PCCT) in combination with radiomics and machine learning to develop a method for automated and detailed characterization of kidney stones.
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- This study explored how various acquisition, reconstruction, and postprocessing parameters affect Virtual Non-Calcium (VNCa) images from dual-energy CT (DECT) scans.
- Scanning a human cadaver leg with different settings revealed that while tube current and reconstruction kernels had minimal impact on VNCa values, adjustments to the tube voltage and postprocessing parameters significantly influenced the results.
- The findings highlight the importance of careful selection of acquisition and processing settings to avoid false positives in bone marrow edema assessments, underscoring the need for standardization in DECT imaging techniques.
Background: For treatment of urolithiasis, the stone composition is of particular interest, as uric acid (UA) stones can be treated by chemolitholysis. In this ex vivo study, we employed an advanced composition analysis approach for urolithiasis utilizing spectral data obtained from a photon-counting detector CT (PCDCT) to differentiate UA and non-UA stones. Our primary objective was to assess the accuracy of this analysis method.
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- The study aims to evaluate the effectiveness of Photon-Counting CT (PCCT) compared to Dual-Source CT (DSCT) in reducing radiation dosage while improving the quality of chest CT images.
- Tests were conducted on phantoms using both CT technologies at various dose levels, with parameters like noise magnitude and detectability of specific lung lesions assessed to measure performance.
- Results showed that PCCT had significantly lower noise levels and better detectability of lung lesions, with a potential dose reduction of nearly 59% compared to DSCT, indicating PCCT's promise for safer chest imaging in patients.