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 …
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 CT … quality while enabling superior lesion detection ability on …
in the abdominal and coronary CT … quality 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. …
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. …
… 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 …
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 …
CTC images. Antispasmodics … First, this study did not analyze lesion detection performance …
CT iterative vs deep learning reconstruction: comparison of noise and sharpness
… 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 …
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 …
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 …
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 …
reconstruction has been shown to … effects of DLR on image quality of abdominal CT scans in …