Results 221 to 230 of about 8,556 (266)

Development of L1 Vertebral Anthropomorphic Model for Densitometric Phantom Improvement. [PDF]

open access: yesSovrem Tekhnologii Med
Petraikin AV   +6 more
europepmc   +1 more source

Quality assessment of digital X-ray chest images using an anthropomorphic chest phantom

open access: yesJournal of Physics: Conference Series, 2017
The current study is focused on determining the optimal tube voltage for the conventional X-ray digital chest screening examinations, using a visual grading analysis method.
A V Vodovatov, Christian Bernhardsson
exaly   +2 more sources

Design of anthropomorphic atherosclerotic carotid artery flow phantoms for ultrasound images

open access: yes, 2015
Carotid artery phantoms (CaPs) can be used as test objects to explore novel ways of enhancing the ultrasound based carotid atherosclerosis diagnosis.
Alessandro Ceruti   +2 more
exaly   +2 more sources

An anthropomorphic torso section phantom for ultrasonic imaging

Medical Physics, 1980
Using stable materials capable of mimicking any soft tissues of the human body—quantitatively with respect to speed of sound, density, and attenuation coefficient and semiquantitatively with respect to scatter—we have constructed a torso section phantom containing simulated bowel gas, kidney, kidney fat pad, liver, tumor, cyst, bony structures, and ...
E L, Madsen   +2 more
openaire   +2 more sources

An Anthropomorphic Breast Model for Breast Imaging Simulation and Optimization

Academic Radiology, 2011
Optimization studies for x-ray-based breast imaging systems using computer simulation can greatly benefit from a phantom capable of modeling varying anatomical variability across different patients. This study aimed to develop a three-dimensional phantom model with realistic and randomizable anatomical features.A voxelized breast model was developed ...
Baiyu, Chen   +6 more
openaire   +2 more sources

Anthropomorphic ResNet18 for multi-vendor DBT image quality evaluation

Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment, 2020
Purpose: This work aims to develop an anthropomorphic convolutional neural network (CNN) classifier, based on the ResNet18 deep learning network and validate it for task based image quality evaluation of digital breast tomosynthesis (DBT) using a structured phantom with non-spiculated mass simulating lesions. Methods: The phantom is constructed from an
Dimitar Petrov   +4 more
openaire   +1 more source

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