Image quality and lesion detection on deep learning reconstruction and iterative reconstruction of submillisievert chest and abdominal CT

R Singh, SR Digumarthy, VV Muse… - American Journal of …, 2020 - Am Roentgen Ray Soc
OBJECTIVE. The objective of this study was to compare image quality and clinically
significant lesion detection on deep learning reconstruction (DLR) and iterative …

Artificial intelligence in medical imaging: implications for patient radiation safety

J Seah, Z Brady, K Ewert, M Law - The British Journal of …, 2021 - academic.oup.com
Artificial intelligence, including deep learning, is currently revolutionising the field of medical
imaging, with far reaching implications for almost every facet of diagnostic imaging …

Myocardial extracellular volume quantification in cardiac CT: comparison of the effects of two different iterative reconstruction algorithms with MRI as a reference …

T Emoto, M Kidoh, S Oda, T Nakaura, Y Nagayama… - European …, 2020 - Springer
Objectives To compare the effects of hybrid iterative reconstruction (HIR) and model-based
iterative reconstruction (MBIR) that incorporates a beam-hardening model for myocardial …

Reduced radiation dose with model based iterative reconstruction coronary artery calcium scoring

AD Choi, ES Leifer, HY Jeannie, T Datta… - European Journal of …, 2019 - Elsevier
Assessing coronary artery calcium (CAC) is a valuable tool for individualizing cardiac risk
assessment. In CAC scanning, this technical report assesses the use of a true model-based …

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

K Ogawa, H Onishi, M Hori, A Nakamoto, T Ota… - Japanese Journal of …, 2021 - Springer
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 …

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

D Zhang, C Mu, X Zhang, J Yan, M Xu, Y Wang… - BMC Medical …, 2023 - Springer
Background To evaluate the image quality of lower extremity computed tomography
angiography (CTA) with deep learning–based reconstruction (DLR) compared to model …

The usefulness of full-iterative reconstruction algorithm for the visualization of cystic artery on CT angiography

T Hamamura, Y Hayashida, Y Takeshita… - Japanese Journal of …, 2019 - Springer
Purpose To evaluate the potential of full-iterative reconstruction (IR) for improving image
quality of the cystic artery on CT angiography and to assess observer performance. Methods …

[PDF][PDF] 全模型迭代算法(FIRST) 在靶扫描靶重建颞骨CT 成像的应用研究

王天娇, 王沄, 马壮飞, 陈钰, 廖凯, 付海鸿… - 中国医疗设备, 2021 - cs.china-cmd.org
目的评估全模型迭代重建算法(Forward Projected Model-Based Iterative Reconstruction
Solution, FIRST) 对于靶扫描颞骨图像的应用价值. 方法回顾性收集了36 例行颞骨靶扫描检查的 …

Virtual mono-energetic images and iterative image reconstruction: abdominal vessel imaging in the era of spectral detector CT

Y Al-Baldawi, NG Hokamp, S Haneder, S Steinhauser… - Clinical Radiology, 2020 - Elsevier
AIM To compare the quality of virtual mono-energetic (VMI) and polychromatic images
reconstructed with hybrid iterative (PCI HIR) or model-based reconstruction (PCI MBR) …

Evaluation of image quality for 7 iterative reconstruction algorithms in chest computed tomography imaging: a phantom study

K Jensen, G Hagemo, A Tingberg… - Journal of Computer …, 2020 - journals.lww.com
Objectives This study aimed to evaluate the image quality of 7 iterative reconstruction (IR)
algorithms in comparison to filtered back-projection (FBP) algorithm. Methods An …