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reconstruction kernels fc44 with hybrid-ir (adaptive iterative dose reduction 3d, enhanced standard setting)  (Canon inc)

 
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    Canon inc reconstruction kernels fc44 with hybrid-ir (adaptive iterative dose reduction 3d, enhanced standard setting)
    Reconstruction Kernels Fc44 With Hybrid Ir (Adaptive Iterative Dose Reduction 3d, Enhanced Standard Setting), supplied by Canon inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/adaptive+kernel/reconstruction+kernel+fc44+with+hybrid+ir/pm35427840-56-3-14
    Average 90 stars, based on 1 article reviews
    reconstruction kernels fc44 with hybrid-ir (adaptive iterative dose reduction 3d, enhanced standard setting) - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Deep learning reconstruction for improved image quality of ultra-high-resolution brain CT angiography: application in moyamoya disease.
    Article Snippet: The reconstruction kernels used were FC44 with Hybrid-IR (Adaptive Iterative Dose Reduction 3D, enhanced standard setting; Canon Medical Systems), DLR-body (Advanced Intelligent Clear-IQ Engine [AiCE], BodySharp standard setting; Canon Medical Systems), and DLR-brain (AiCE, BrainCTA standard setting; Canon Medical Systems).

    Article Title: Evaluation of moyamoya disease in CT angiography using ultra-high-resolution computed tomography: Application of deep learning reconstruction.
    Article Snippet: Reconstruction kernels were FC44 with Hybrid-IR (Adaptive Iterative Dose Reduction 3D, enhanced standard setting; Canon Medical Systems), MBIR (forward-projected model-based iterative reconstruction solution [FIRST, BRAIN CTA standard setting]; Canon Medical Systems), and DLR (Advanced Intelligent Clear-IQ Engine, BODY standard setting; Canon Medical Systems).



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    Results for quantitative image analyses

    Journal: Japanese Journal of Radiology

    Article Title: Deep learning reconstruction with single-energy metal artifact reduction in pelvic computed tomography for patients with metal hip prostheses

    doi: 10.1007/s11604-023-01402-5

    Figure Lengend Snippet: Results for quantitative image analyses

    Article Snippet: From the helical scan data, axial images of the pelvis were reconstructed using DLR-S (Advanced Intelligent Clear-IQ Engine with body sharp standard [Canon Medical Systems] and SEMAR [Canon Medical Systems]), DLR (Advanced Intelligent Clear-IQ Engine with body sharp standard), and IR-S (Adaptive Iterative Dose Reduction enhanced standard with FC03 kernel [Canon Medical Systems]).

    Techniques:

    Results for one-by-one qualitative image analyses

    Journal: Japanese Journal of Radiology

    Article Title: Deep learning reconstruction with single-energy metal artifact reduction in pelvic computed tomography for patients with metal hip prostheses

    doi: 10.1007/s11604-023-01402-5

    Figure Lengend Snippet: Results for one-by-one qualitative image analyses

    Article Snippet: From the helical scan data, axial images of the pelvis were reconstructed using DLR-S (Advanced Intelligent Clear-IQ Engine with body sharp standard [Canon Medical Systems] and SEMAR [Canon Medical Systems]), DLR (Advanced Intelligent Clear-IQ Engine with body sharp standard), and IR-S (Adaptive Iterative Dose Reduction enhanced standard with FC03 kernel [Canon Medical Systems]).

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    Journal: iScience

    Article Title: Kernel recursive least square tracker and long-short term memory ensemble based battery health prognostic model

    doi: 10.1016/j.isci.2021.103286

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    Article Snippet: Kernel Adaptive Toolbox MATLABTM , , https://ch.mathworks.com/matlabcentral/fileexchange/46747-kernel-adaptive-filtering-toolbox.

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