Improved X-Ray Safety, Quality Control, and Resource Management in Medical Imaging Using QATrack+

Buckley, Lesley; Heddon, Gary; Byrne, Ian; Angers, Crystal

doi:10.1016/j.jmir.2019.12.004

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…The visibility and recognizability of the elements in a digital image constitute image quality (Geometric integrity). Sharpness, magnification, and shape distortion are listed in that order, starting with brightness (density), contrast (grayscale), and noise [13] [14]. In diagnostic radiology, optimization means that picture quality for each examination must meet the diagnostic standards for a precise diagnosis [15].…”

Section: Introductionmentioning

confidence: 99%

The Influence of X-Ray Tube Current-Time Variations Toward Signal to Noise Ratio (SNR) in Digital Radiography: A Phantom Study

Utami¹,

Istiqomah²

2023

AMM

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Several image enhancement applications can be used to increase SNR and brightness. However, if the setting of tube current-time is too high, the application can not reduce the radiation dose. So, It is necessary to test tube current-time variations on the SNR value and image quality to determine the effect on body organs and radiation dose. This study aims to determine the influence of tube current-time on SNR and with this research is expected to be an input for radiographers in the field to pay attention to parameter settings for patients. We compared five tube current-time variations on the Antebrachii examination by using Phantom (58 kV, 32 mA, 50 mSec), (58 kV, 100 mA, 50 mSec), (58 kV, 32 mA, 5 mAs), (58 kV , 32 mA, 5 mAs) and (58kV, 100 mA, 5 mAs). Then we made a circle of ROI with a diameter of 0.2 cm2 on the Bone, Soft-tissue and Air sections in that four tube current-time variations, each of which has 7 ROI points tocalculate the SNR and the radiation dose is seen from the image. There is a difference in SNR on tube current-time changes and affects the image quality with an Adjusted R square value of 0.003 and 0.865. It shows that there is a change in tube current that affects the Signal to Noise Ratio between organs. Since it is proven that changes in tube current-time affect image quality, further research can formulate an ideal parameter for the examination of each organ.

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Section: Introductionmentioning

confidence: 99%

The Influence of X-Ray Tube Current-Time Variations Toward Signal to Noise Ratio (SNR) in Digital Radiography: A Phantom Study

Utami¹,

Istiqomah²

2023

AMM

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Leading into the future: Revising nuclear medicine education across Canada to satisfy the newly imposed CAMRT leadership competency

Belliveau

2021

Journal of Medical Imaging and Radiation Sciences

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A Multifeature Extraction Method Using Deep Residual Network for MR Image Denoising

Yao

2020

Computational and Mathematical Methods in Medicine

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In order to improve the resolution of magnetic resonance (MR) image and reduce the interference of noise, a multifeature extraction denoising algorithm based on a deep residual network is proposed. First, the feature extraction layer is constructed by combining three different sizes of convolution kernels, which are used to obtain multiple shallow features for fusion and increase the network’s multiscale perception ability. Then, it combines batch normalization and residual learning technology to accelerate and optimize the deep network, while solving the problem of internal covariate transfer in deep learning. Finally, the joint loss function is defined by combining the perceptual loss and the traditional mean square error loss. When the network is trained, it can not only be compared at the pixel level but also be learned at a higher level of semantic features to generate a clearer target image. Based on the MATLAB simulation platform, the TCGA-GBM and CH-GBM datasets are used to experimentally demonstrate the proposed algorithm. The results show that when the image size is set to 190 × 215 and the optimization algorithm is Adam, the performance of the proposed algorithm is the best, and its denoising effect is significantly better than other comparison algorithms. Especially under high-intensity noise levels, the denoising advantage is more prominent.

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Improved X-Ray Safety, Quality Control, and Resource Management in Medical Imaging Using QATrack+

Cited by 3 publications

References 3 publications

The Influence of X-Ray Tube Current-Time Variations Toward Signal to Noise Ratio (SNR) in Digital Radiography: A Phantom Study

The Influence of X-Ray Tube Current-Time Variations Toward Signal to Noise Ratio (SNR) in Digital Radiography: A Phantom Study

Leading into the future: Revising nuclear medicine education across Canada to satisfy the newly imposed CAMRT leadership competency

A Multifeature Extraction Method Using Deep Residual Network for MR Image Denoising

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