Quantum iterative reconstruction for abdominal photon-counting detector CT improves image quality

T Sartoretti, A Landsmann, D Nakhostin, M Eberhard… - Radiology, 2022 - pubs.rsna.org
… In conclusion, an iterative reconstruction algorithm (QIR; Siemens … image quality as well
as the conspicuity of liver lesions without affecting noise texture or CT attenuation in abdominal

Application of deep learning image reconstruction in low-dose chest CT scan

H Wang, LL Li, J Shang, J Song… - The British Journal of …, 2022 - academic.oup.com
… to compare image quality of reduced-dose DLIR images with … under lower radiation doses
in the abdominal and coronary CTquality while enabling superior lesion detection ability on …

Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom …

HJ Park, SY Choi, JE Lee, S Lim, MH Lee, BH Yi… - European …, 2022 - Springer
… through the learning process and extensive testing of dataset … of them were conducted
using chest CT performed under a … if it caused a well-defined lesion to appear less well-defined. …

First results of a new deep learning reconstruction algorithm on image quality and liver metastasis conspicuity for abdominal low-dose CT

J Greffier, Q Durand, C Serrand, R Sales, F de Oliveira… - Diagnostics, 2023 - mdpi.com
image quality, and liver lesion conspicuity compared with the iDose 4 iterative reconstruction
… this new DLR algorithm for detecting abdominal lesions via ultra-low dose CT acquisitions. …

Deep-learning CT reconstruction in clinical scans of the abdomen: a systematic review and meta-analysis

…, AC Morani, KM Elsayes, CT Jensen - Abdominal …, 2023 - Springer
… indicate preserved low contrast liver lesion detection (> 5 mm) … If smaller lesion
detection and improved lesion … between deep-learning reconstruction (AiCE) and iterative

Deep learning-based reconstruction improves the image quality of low-dose CT colonography

Y Chen, Z Huang, L Feng, W Zou, D Kong, D Zhu… - Academic radiology, 2024 - Elsevier
… A study comparing ultra-low-dose chest CT images based on … acquisition of sub-millisievert
CTC images. Antispasmodics … First, this study did not analyze lesion detection performance …

CT iterative vs deep learning reconstruction: comparison of noise and sharpness

C Park, KS Choo, Y Jung, HS Jeong, JY Hwang… - European …, 2021 - Springer
… a short reconstruction time with better image quality and lower … from the level of the 12th
thoracic vertebra to the toes after … In the ASIR-V reconstruction of abdomen CTs, a blending …

Value of deep learning reconstruction of chest low-dose CT for image quality improvement and lung parenchyma assessment on lung window

J Wang, X Sui, R Zhao, H Du, J Wang, Y Wang… - European …, 2024 - Springer
… RDCT images were reconstructed with hybrid iterative … and pulmonary lesion conspicuity of
LDCT DLR and LDCT HIR … the frequency of solid nodule detection among the RDCT, LDCT …

Detection of urinary tract stones on submillisievert abdominopelvic CT imaging with deep-learning image reconstruction algorithm (DLIR)

S Prod'homme, R Bouzerar, T Forzini, A Delabie… - Abdominal …, 2024 - Springer
… Urinary stones were interpreted on a per-lesion basis. The urinary tract … image quality with
the use of the same algorithm on submillisievert chest and abdominal CT with FBP, iterative

Assessing the effects of deep learning reconstruction on abdominal CT without arm elevation

N Fujita, K Yasaka, A Katayama… - Canadian …, 2023 - journals.sagepub.com
… Both blinded readers detected more lesions on DLR images … Model-based iterative
reconstruction has been shown to … effects of DLR on image quality of abdominal CT scans in …