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 …
[HTML][HTML] 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 …
Development and validation of deep learning–based automatic detection algorithm for malignant pulmonary nodules on chest radiographs
Purpose To develop and validate a deep learning–based automatic detection algorithm
(DLAD) for malignant pulmonary nodules on chest radiographs and to compare its …
(DLAD) for malignant pulmonary nodules on chest radiographs and to compare its …
Development and validation of a deep learning–based automated detection algorithm for major thoracic diseases on chest radiographs
Importance Interpretation of chest radiographs is a challenging task prone to errors,
requiring expert readers. An automated system that can accurately classify chest …
requiring expert readers. An automated system that can accurately classify chest …
Low‐dose CT image and projection dataset
Purpose To describe a large, publicly available dataset comprising computed tomography
(CT) projection data from patient exams, both at routine clinical doses and simulated lower …
(CT) projection data from patient exams, both at routine clinical doses and simulated lower …
Development and validation of a deep learning–based automatic detection algorithm for active pulmonary tuberculosis on chest radiographs
Background Detection of active pulmonary tuberculosis on chest radiographs (CRs) is
critical for the diagnosis and screening of tuberculosis. An automated system may help …
critical for the diagnosis and screening of tuberculosis. An automated system may help …
Low‐dose CT for the detection and classification of metastatic liver lesions: results of the 2016 low dose CT grand challenge
CH McCollough, AC Bartley, RE Carter… - Medical …, 2017 - Wiley Online Library
Purpose Using common datasets, to estimate and compare the diagnostic performance of
image‐based denoising techniques or iterative reconstruction algorithms for the task of …
image‐based denoising techniques or iterative reconstruction algorithms for the task of …
Added value of deep learning–based detection system for multiple major findings on chest radiographs: a randomized crossover study
Background Previous studies assessing the effects of computer-aided detection on observer
performance in the reading of chest radiographs used a sequential reading design that may …
performance in the reading of chest radiographs used a sequential reading design that may …
Milestones in CT: past, present, and future
CH McCollough, PS Rajiah - Radiology, 2023 - pubs.rsna.org
In 1971, the first patient CT examination by Ambrose and Hounsfield paved the way for not
only volumetric imaging of the brain but of the entire body. From the initial 5-minute scan for …
only volumetric imaging of the brain but of the entire body. From the initial 5-minute scan for …
Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility
High-dimensional imaging features extracted from diagnostic imaging, called radiomics, are
increasingly reported for diagnosis, prognosis, and response to therapy. Establishing the …
increasingly reported for diagnosis, prognosis, and response to therapy. Establishing the …