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Utilization of an attentive map to preserve anatomical features for training convolutional neural‐network‐based low‐dose CT denoiser
Background The purpose of a convolutional neural network (CNN)‐based denoiser is to
increase the diagnostic accuracy of low‐dose computed tomography (LDCT) imaging. To …
increase the diagnostic accuracy of low‐dose computed tomography (LDCT) imaging. To …
A convolutional neural network-based anthropomorphic model observer for signal detection in breast CT images without human-labeled data
Various imaging parameters in X-ray computed tomography (CT) should be examined and
optimized by task-based assessment of human observer performance. Recently …
optimized by task-based assessment of human observer performance. Recently …
High-resolution imaging for characterizing microcalcification detection performance in breast CT
Purpose: To demonstrate the utility of high-resolution micro-computed tomography (μCT) for
determining ground-truth size and shape properties of calcium grains for evaluation of …
determining ground-truth size and shape properties of calcium grains for evaluation of …
Visual adaptation and the amplitude spectra of radiological images
We examined how visual sensitivity and perception are affected by adaptation to the
characteristic amplitude spectra of X-ray mammography images. Because of the …
characteristic amplitude spectra of X-ray mammography images. Because of the …
Pre‐whitened matched filter and convolutional neural network based model observer performance for mass lesion detection in non‐contrast breast CT
Background Mathematical model observers have been shown to reasonably predict human
observer performance and are useful when human observer studies are infeasible …
observer performance and are useful when human observer studies are infeasible …
Sparse-view, short-scan, dedicated cone-beam breast computed tomography: image quality assessment
The purpose of this study is to quantify the impact of sparse-view acquisition in short-scan
trajectories, compared to 360-degrees full-scan acquisition, on image quality measures in …
trajectories, compared to 360-degrees full-scan acquisition, on image quality measures in …
Model observer performance in contrast‐enhanced lesions in breast CT: The influence of contrast concentration on detectability
Background The use of iodine‐based contrast agent for better delineation of tumors in
breast CT (bCT) has been shown to be compelling, similar to the tumor enhancement in …
breast CT (bCT) has been shown to be compelling, similar to the tumor enhancement in …
Effect of anatomical noise on the detectability of cone beam CT images with different slice direction, slice thickness, and volume glandular fraction
We investigate the effect of anatomical noise on the detectability of cone beam CT (CBCT)
images with different slice directions, slice thicknesses, and volume glandular fractions …
images with different slice directions, slice thicknesses, and volume glandular fractions …
[KIRJA][B] Multisource x-ray systems for digital breast tomosynthesis and breast CT imaging
AE Becker - 2021 - search.proquest.com
This dissertation is focused on the development and characterization of a novel x-ray tube
prototype for digital breast tomosynthesis (DBT) and the application of this multisource …
prototype for digital breast tomosynthesis (DBT) and the application of this multisource …
[KIRJA][B] Model Observers for Mass Lesion and Microcalcification Detection in Breast CT
SH Lyu - 2023 - search.proquest.com
Breast computed tomography (CT) is a relatively new breast imaging modality based upon
cone-beam CT geometry, and there are ongoing efforts to optimize breast CT for the …
cone-beam CT geometry, and there are ongoing efforts to optimize breast CT for the …