Iterative reconstruction: State-of-the-art and future perspectives

R Mishra, MK Bajpai - Applied Soft Computing, 2024 - Elsevier

Computed tomography (CT) is a non-destructive evaluation technique to know the internal
structure of the objects under scan. It has numerous applications in engineering as well as in …

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Improving diagnostic confidence in low-dose dual-energy CTE with low energy level and deep learning reconstruction

X Lin, Y Gao, C Zhu, J Song, L Liu, J Li, X Wu - European Journal of …, 2024 - Elsevier

Objective To demonstrate the value of using 50 keV virtual monochromatic images with
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[HTML][HTML] Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstruction

D Plajer, M Hahn, M Chaika, M Mader, J Mueck… - European Journal of …, 2024 - Elsevier

Background Neck computed tomography (NCT) is essential for diagnosing suspected neck
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S Tomasi, KE Szilagyi, P Barca, F Bisello, L Spagnoli… - Physica Medica, 2024 - Elsevier

Purpose To characterise the impact of Precise Image (PI) deep learning reconstruction
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Study of Low kV, Low Contrast Agent Dosage, and Low Contrast Agent Flow Rate Scan in Computed Tomography Angiography of Children's Liver

L Wu, S Tang, W Chen, X Chen, L Zhang, L He - IJ Radiology, 2023 - brieflands.com

Background: During computed tomography (CT) examinations, the presence of radiation
material undoubtedly has a certain impact on patients, particularly children, who are more …