State of the art in abdominal CT: the limits of iterative reconstruction algorithms
A Mileto, LS Guimaraes, CH McCollough, JG Fletcher… - Radiology, 2019 - pubs.rsna.org
The development and widespread adoption of iterative reconstruction (IR) algorithms for CT
have greatly facilitated the contemporary practice of radiation dose reduction during …
have greatly facilitated the contemporary practice of radiation dose reduction during …
A review of deep learning CT reconstruction: concepts, limitations, and promise in clinical practice
TP Szczykutowicz, GV Toia, A Dhanantwari… - Current Radiology …, 2022 - Springer
Abstract Purpose of Review Deep Learning reconstruction (DLR) is the current state-of-the-
art method for CT image formation. Comparisons to existing filter back-projection, iterative …
art method for CT image formation. Comparisons to existing filter back-projection, iterative …
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 …
significant lesion detection on deep learning reconstruction (DLR) and iterative …
Image quality assessment of abdominal CT by use of new deep learning image reconstruction: initial experience
OBJECTIVE. The purpose of this study was to perform quantitative and qualitative evaluation
of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic …
of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic …
Reduced-dose deep learning reconstruction for abdominal CT of liver metastases
Background Assessment of liver lesions is constrained as CT radiation doses are lowered;
evidence suggests deep learning reconstructions mitigate such effects. Purpose To evaluate …
evidence suggests deep learning reconstructions mitigate such effects. Purpose To evaluate …
CT noise-reduction methods for lower-dose scanning: strengths and weaknesses of iterative reconstruction algorithms and new techniques
Iterative reconstruction (IR) algorithms are the most widely used CT noise-reduction method
to improve image quality and have greatly facilitated radiation dose reduction within the …
to improve image quality and have greatly facilitated radiation dose reduction within the …
Management of incidental liver lesions on CT: a white paper of the ACR Incidental Findings Committee
RM Gore, PJ Pickhardt, KJ Mortele, EK Fishman… - Journal of the American …, 2017 - Elsevier
Abstract The ACR Committee on Incidental Findings presents recommendations for
managing liver lesions that are incidentally detected on CT. These recommendations …
managing liver lesions that are incidentally detected on CT. These recommendations …
Detection of colorectal hepatic metastases is superior at standard radiation dose CT versus reduced dose CT
Purpose To evaluate colorectal cancer hepatic metastasis detection and characterization
between reduced radiation dose (RD) and standard dose (SD) contrast material–enhanced …
between reduced radiation dose (RD) and standard dose (SD) contrast material–enhanced …
Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction
Y Ichikawa, Y Kanii, A Yamazaki, N Nagasawa… - Japanese Journal of …, 2021 - Springer
Purpose To evaluate the usefulness of the deep learning image reconstruction (DLIR) to
enhance the image quality of abdominal CT, compared to iterative reconstruction technique …
enhance the image quality of abdominal CT, compared to iterative reconstruction technique …
Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions
Objectives To compare the overall image quality and detectability of significant (malignant
and pre-malignant) liver lesions of low-dose liver CT (LDCT, 33.3% dose) using deep …
and pre-malignant) liver lesions of low-dose liver CT (LDCT, 33.3% dose) using deep …