adir algorithm with fc13 kernel Search Results


iterative reconstruction hir with the fc13 kernel  (Canon inc)
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Canon inc iterative reconstruction hir with the fc13 kernel
CT scanning and reconstruction settings for the four algorithms.
Iterative Reconstruction Hir With The Fc13 Kernel, 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
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CT scanning and reconstruction settings for the four algorithms.

Journal: Journal of Applied Clinical Medical Physics

Article Title: Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study

doi: 10.1002/acm2.13318

Figure Lengend Snippet: CT scanning and reconstruction settings for the four algorithms.

Article Snippet: In addition, two types of iterative reconstruction were conducted: HIR with the FC13 kernel, and MBIR reconstruction (AIDR 3D standard and FIRST body standard, respectively; Canon Medical Systems) (Table ).

Techniques:

CT number in each reconstruction algorithm at different radiation doses.

Journal: Journal of Applied Clinical Medical Physics

Article Title: Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study

doi: 10.1002/acm2.13318

Figure Lengend Snippet: CT number in each reconstruction algorithm at different radiation doses.

Article Snippet: In addition, two types of iterative reconstruction were conducted: HIR with the FC13 kernel, and MBIR reconstruction (AIDR 3D standard and FIRST body standard, respectively; Canon Medical Systems) (Table ).

Techniques:

Image noise in each reconstruction algorithm at different radiation doses.

Journal: Journal of Applied Clinical Medical Physics

Article Title: Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study

doi: 10.1002/acm2.13318

Figure Lengend Snippet: Image noise in each reconstruction algorithm at different radiation doses.

Article Snippet: In addition, two types of iterative reconstruction were conducted: HIR with the FC13 kernel, and MBIR reconstruction (AIDR 3D standard and FIRST body standard, respectively; Canon Medical Systems) (Table ).

Techniques:

The noise power spectrum (NPS) curves of each reconstruction algorithm obtained at 100%, 50%, and 25% radiation doses. (a) Filtered back projection (FBP). (b) Hybrid iterative reconstruction (HIR). (c) Model‐based iterative reconstruction (MBIR). (d) Deep learning‑based reconstruction (DLR). As the radiation dose decreases, the NPS curves move upward in each reconstruction algorithm. The NPS curves in DLR were more similar to those in HIR than in the other reconstruction algorithms.

Journal: Journal of Applied Clinical Medical Physics

Article Title: Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study

doi: 10.1002/acm2.13318

Figure Lengend Snippet: The noise power spectrum (NPS) curves of each reconstruction algorithm obtained at 100%, 50%, and 25% radiation doses. (a) Filtered back projection (FBP). (b) Hybrid iterative reconstruction (HIR). (c) Model‐based iterative reconstruction (MBIR). (d) Deep learning‑based reconstruction (DLR). As the radiation dose decreases, the NPS curves move upward in each reconstruction algorithm. The NPS curves in DLR were more similar to those in HIR than in the other reconstruction algorithms.

Article Snippet: In addition, two types of iterative reconstruction were conducted: HIR with the FC13 kernel, and MBIR reconstruction (AIDR 3D standard and FIRST body standard, respectively; Canon Medical Systems) (Table ).

Techniques:

The normalized noise power spectrum (NPS) curves of each reconstruction algorithm obtained at 100%, 50%, and 25% radiation doses. (a) Filtered back projection (FBP). (b) Hybrid iterative reconstruction (HIR). (c) Model‐based iterative reconstruction (MBIR). (d) Deep learning‑based reconstruction (DLR). The shapes of the normalized NPS for DLR hardly varied at the different doses, while those of MBIR shifted slightly to a higher frequency as the radiation dose decreased.

Journal: Journal of Applied Clinical Medical Physics

Article Title: Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study

doi: 10.1002/acm2.13318

Figure Lengend Snippet: The normalized noise power spectrum (NPS) curves of each reconstruction algorithm obtained at 100%, 50%, and 25% radiation doses. (a) Filtered back projection (FBP). (b) Hybrid iterative reconstruction (HIR). (c) Model‐based iterative reconstruction (MBIR). (d) Deep learning‑based reconstruction (DLR). The shapes of the normalized NPS for DLR hardly varied at the different doses, while those of MBIR shifted slightly to a higher frequency as the radiation dose decreased.

Article Snippet: In addition, two types of iterative reconstruction were conducted: HIR with the FC13 kernel, and MBIR reconstruction (AIDR 3D standard and FIRST body standard, respectively; Canon Medical Systems) (Table ).

Techniques:

The detectable minimum diameters of the low‐contrast object at different radiation doses.

Journal: Journal of Applied Clinical Medical Physics

Article Title: Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study

doi: 10.1002/acm2.13318

Figure Lengend Snippet: The detectable minimum diameters of the low‐contrast object at different radiation doses.

Article Snippet: In addition, two types of iterative reconstruction were conducted: HIR with the FC13 kernel, and MBIR reconstruction (AIDR 3D standard and FIRST body standard, respectively; Canon Medical Systems) (Table ).

Techniques:

Attenuation profile curves (APCs) for all reconstruction algorithms obtained at 100%, 50%, and 25% radiation doses. The APCs of the (a–c) high‐signal object, (d–f) moderate‐signal object, and (g–i) low‐signal object obtained at 100%, 50%, and 25% radiation doses, respectively. The APCs were affected by the applied reconstruction algorithm. With the moderate‐signal object, the APCs had some amplitude and could be identified from the boundary of the background, except for the filtered back projection (FBP) algorithm. FBP, filtered back projection; HIR, hybrid iterative reconstruction; MBIR, model‐based iterative reconstruction; DLR, deep learning‐based reconstruction.

Journal: Journal of Applied Clinical Medical Physics

Article Title: Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study

doi: 10.1002/acm2.13318

Figure Lengend Snippet: Attenuation profile curves (APCs) for all reconstruction algorithms obtained at 100%, 50%, and 25% radiation doses. The APCs of the (a–c) high‐signal object, (d–f) moderate‐signal object, and (g–i) low‐signal object obtained at 100%, 50%, and 25% radiation doses, respectively. The APCs were affected by the applied reconstruction algorithm. With the moderate‐signal object, the APCs had some amplitude and could be identified from the boundary of the background, except for the filtered back projection (FBP) algorithm. FBP, filtered back projection; HIR, hybrid iterative reconstruction; MBIR, model‐based iterative reconstruction; DLR, deep learning‐based reconstruction.

Article Snippet: In addition, two types of iterative reconstruction were conducted: HIR with the FC13 kernel, and MBIR reconstruction (AIDR 3D standard and FIRST body standard, respectively; Canon Medical Systems) (Table ).

Techniques:

Spatial frequency at 50% and 10% of MTF at different radiation doses.

Journal: Journal of Applied Clinical Medical Physics

Article Title: Image quality improvement with deep learning‐based reconstruction on abdominal ultrahigh‐resolution CT: A phantom study

doi: 10.1002/acm2.13318

Figure Lengend Snippet: Spatial frequency at 50% and 10% of MTF at different radiation doses.

Article Snippet: In addition, two types of iterative reconstruction were conducted: HIR with the FC13 kernel, and MBIR reconstruction (AIDR 3D standard and FIRST body standard, respectively; Canon Medical Systems) (Table ).

Techniques: