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European Radiology
Erschienen in: European Radiology 7/2021

03.01.2021 | Gastrointestinal

Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT

verfasst von: Yuko Nakamura, Keigo Narita, Toru Higaki, Motonori Akagi, Yukiko Honda, Kazuo Awai

Erschienen in: European Radiology | Ausgabe 7/2021

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Abstract

Objectives

We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed tomography (U-HRCT) images reconstructed with deep learning reconstruction (DLR), hybrid iterative reconstruction (hybrid-IR), or model-based IR (MBIR) in comparison with standard-dose (SD) U-HRCT images reconstructed with hybrid-IR as the reference standard to identify the method that allowed for the greatest radiation dose reduction while preserving the diagnostic value.

Methods

Evaluated were 72 patients who had undergone hepatic dynamic U-HRCT; 36 were scanned with the standard radiation dose (SD group) and 36 with 70% of the SD (lower dose [LD] group). Hepatic arterial and equilibrium phase (HAP, EP) images were reconstructed with hybrid-IR in the SD group, and with hybrid-IR, MBIR, and DLR in the LD group. One radiologist recorded the standard deviation of attenuation in the paraspinal muscle as the image noise. The overall image quality was assessed by 3 other radiologists; they used a 5-point confidence scale ranging from 1 (unacceptable) to 5 (excellent). Superiority and equivalence with prespecified margins were assessed.

Results

With respect to the image noise, in the HAP and EP, LD DLR and LD MBIR images were superior to SD hybrid-IR images; LD hybrid-IR images were neither superior nor equivalent to SD hybrid-IR images. With respect to the quality scores, only LD DLR images were superior to SD hybrid-IR images.

Conclusions

DLR preserved the quality of abdominal U-HRCT images even when scanned with a reduced radiation dose.

Key Points

• Lower dose DLR images were superior to the standard-dose hybrid-IR images quantitatively and qualitatively at abdominal U-HRCT.
• Neither hybrid-IR nor MBIR may allow for a radiation dose reduction at abdominal U-HRCT without compromising the image quality.
• Because DLR allows for a reduction in the radiation dose and maintains the image quality even at the thinnest slice section, DLR should be applied to abdominal U-HRCT scans.
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Metadaten
Titel
Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT
verfasst von
Yuko Nakamura
Keigo Narita
Toru Higaki
Motonori Akagi
Yukiko Honda
Kazuo Awai
Publikationsdatum
03.01.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 7/2021
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-020-07566-2

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