Effects of reconstruction technique on the quality of abdominal CT angiography: A comparison between forward projected model-based iterative reconstruction solution (FIRST) and conventional reconstruction methods

Wu, Rongli; Hori, Masatoshi; Onishi, Hiromitsu; Nakamoto, Atsushi; Fukui, Hiroki; Ota, Takashi; Nishida, Takeshi; Enchi, Yukihiro; Satoh, Kazuhiko; Tomiyama, Noriyuki

doi:10.1016/j.ejrad.2018.07.015

Cited by 16 publications

(7 citation statements)

References 22 publications

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“…A full iterative reconstruction technique significantly reduces noise and improves spatial resolution of abdominal CTA images in a conventional CT scanner compared to results obtained with the filtered back projection method or hybrid-iterative reconstruction technique [ 18 ]. The full iterative reconstruction technique may also have substantially reduced image noise and enhanced the spatial resolution for HR CTA using a UHR CT scanner in the present study.…”

Section: Discussionmentioning

confidence: 99%

Visualization of small visceral arteries on abdominal CT angiography using ultra-high-resolution CT scanner

et al. 2021

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Purpose To evaluate the image quality and ability to delineate the small visceral arteries of high-resolution (HR) abdominal CT angiography (CTA) using an ultra-high-resolution computed tomography (UHR CT) scanner. Materials and methods Thirty-seven patients were enrolled who underwent abdominal CTA using a UHR CT scanner. The images were reconstructed with a matrix of 1024 × 1024 and 0.25 mm thickness for HR CTA and with a matrix of 512 × 512 and 0.5 mm thickness for normal resolution (NR) CTA. Maximum CT value, image quality, and delineation of the small arteries were compared between HR CTA and NR CTA. Results HR CTA showed significantly higher maximum CT value, higher image quality, and better delineation of the small arteries than did NR CTA (P < .005). Conclusion HR CTA using a UHR CT scanner showed higher image quality than NR CTA and enhanced the delineation of visceral arteries.

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Section: Discussionmentioning

confidence: 99%

Visualization of small visceral arteries on abdominal CT angiography using ultra-high-resolution CT scanner

et al. 2021

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“…Comparing the image quality of FIRST and AIDR 3D, Maeda et al reported that FIRST was superior for image noise and sharpness in coronary CT angiography [19]. Wu et al also reported that in abdominal CT angiography, the FIRST algorithm improved the visualization of small blood vessels such as the hepatic artery [20]. Therefore, the FIRST algorithm can obtain higher spatial resolution than the AIDR 3D algorithm when only blood vessels in the arterial phase are targeted.…”

Section: Discussionmentioning

confidence: 99%

Double Dose Reduction in the Equilibrium Phase of Chest-Pelvic CT With Low Tube Voltage and Forward-Projected Model-Based Iterative Reconstruction Solution

Hosogoshi¹,

Tada²,

Iijima³

et al. 2020

Cureus

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This study aimed to examine whether a new imaging method (80-kV forward-projected modelbased iterative reconstruction solution [FIRST] protocol) that uses a combination of low tube voltage and FIRST can reduce radiation dose and contrast medium volume by comparing the quality of the resulting image with that of the image obtained by 120-kV adaptive iterative dose reduction 3D protocol in the equilibrium phase of chest-pelvic computed tomography (CT).

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“…The CT reconstruction algorithm was developed from filtered back projection (FBP) to hybrid iterative reconstruction (HIR) and model-based iterative reconstruction (MBIR); although it improved the image quality, diagnostic performance, and reduction of radiation dose in many clinical applications of CTA [ 6 , 7 ], there are still some remaining unsatisfactory aspects in image texture, spatial resolution, and lesion detectability. Recently, a new deep learning-based CT reconstruction (DLR) algorithm (Advanced Intelligent Clear-IQ Engine [AiCE], Canon Medical Systems Corporation) has become commercially available.…”

Section: Introductionmentioning

confidence: 99%

Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction

Zhang

Yan³

et al. 2023

BMC Med Imaging

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Background To evaluate the image quality of lower extremity computed tomography angiography (CTA) with deep learning–based reconstruction (DLR) compared to model-based iterative reconstruction (MBIR), hybrid-iterative reconstruction (HIR), and filtered back projection (FBP). Methods Fifty patients (38 males, average age 59.8 ± 19.2 years) who underwent lower extremity CTA between January and May 2021 were included. Images were reconstructed with DLR, MBIR, HIR, and FBP. The standard deviation (SD), contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), noise power spectrum (NPS) curves, and the blur effect, were calculated. The subjective image quality was independently evaluated by two radiologists. The diagnostic accuracy of DLR, MBIR, HIR, and FBP reconstruction algorithms was calculated. Results The CNR and SNR were significantly higher in DLR images than in the other three reconstruction algorithms, and the SD was significantly lower in DLR images of the soft tissues. The noise magnitude was the lowest with DLR. The NPS average spatial frequency (fav) values were higher using DLR than HIR. For blur effect evaluation, DLR and FBP were similar for soft tissues and the popliteal artery, which was better than HIR and worse than MBIR. In the aorta and femoral arteries, the blur effect of DLR was worse than MBIR and FBP and better than HIR. The subjective image quality score of DLR was the highest. The sensitivity and specificity of the lower extremity CTA with DLR were the highest in the four reconstruction algorithms with 98.4% and 97.2%, respectively. Conclusions Compared to the other three reconstruction algorithms, DLR showed better objective and subjective image quality. The blur effect of the DLR was better than that of the HIR. The diagnostic accuracy of lower extremity CTA with DLR was the best among the four reconstruction algorithms.

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Effects of reconstruction technique on the quality of abdominal CT angiography: A comparison between forward projected model-based iterative reconstruction solution (FIRST) and conventional reconstruction methods

Cited by 16 publications

References 22 publications

Visualization of small visceral arteries on abdominal CT angiography using ultra-high-resolution CT scanner

Visualization of small visceral arteries on abdominal CT angiography using ultra-high-resolution CT scanner

Double Dose Reduction in the Equilibrium Phase of Chest-Pelvic CT With Low Tube Voltage and Forward-Projected Model-Based Iterative Reconstruction Solution

Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction

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