Journal of X-Ray Science and Technology This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Diagnosis of Covid-19 from CT slices using Whale Optimization Algorithm, Support Vector Machine and Multi-Layer Perceptron
CONCLUSION: The MLP classifier's accuracy without feature selection yielded 80.40%, whereas with feature selection using WOA, it yielded 88.94% .PMID:38189732 | DOI:10.3233/XST-230196 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: R Betshrine Rachel H Khanna Nehemiah Vaibhav Kumar Singh Rebecca Mercy Victoria Manoharan Source Type: research

Application of dose-gradient function in reducing radiation induced lung injury in breast cancer radiotherapy
CONCLUSION: The trigger factor obtained based on DGF is efficient in reducing radiation induced lung injury in breast cancer radiotherapy.PMID:38189733 | DOI:10.3233/XST-230198 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: Han Bai Hui Song Qianyan Li Jie Bai Ru Wang Xuhong Liu Feihu Chen Xiang Pan Source Type: research

The mechanism of moire artifacts in single-grating imaging systems and image quality optimization
J Xray Sci Technol. 2024 Jan 5. doi: 10.3233/XST-230202. Online ahead of print.ABSTRACTIn the X-ray single-grating imaging system, the acquisition of frequency information is the key step of phase-contrast and scattering information recovery. In the process of information extraction, it is easy to lead to the degradation of imaging quality due to the Moire Artifact, thus limiting the development and application of X-ray single-grating imaging system. In order to address the above problems, in this article, based on the theoretical analysis of the generation principle of Moire Artifact in imaging system, the advantages and ...
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: Fangke Zong Jun Yang Jun Jiang JinChuan Guo Source Type: research

Nomograms combining computed tomography-based body composition changes with clinical prognostic factors to predict survival in locally advanced cervical cancer patients
CONCLUSION: CT-based body composition changes and CPF (SCC-Ag, LNM) were associated with survival in patients with LACC. The prognostic nomograms combined BCC with CPF were able to predict the OS and PFS in patients with LACC reliably.PMID:38189735 | DOI:10.3233/XST-230212 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: Baoyue Fu Longyu Wei Chuanbin Wang Baizhu Xiong Juan Bo Xueyan Jiang Yu Zhang Haodong Jia Jiangning Dong Source Type: research

A fast response time gas ionization chamber detector with a grid structure
In this study, the detector electrostatic field was calculated using COMSOL, while Garfield++ was utilized to simulate the detector's output signal. To validate the accuracy of simulation results, the experimental ionization chamber was tested on the experimental platform. The results revealed that the average electric field intensity in the induced region of the grid detector was increased by at least 33% . The detector response time was reduced to 27% -38% of that of the parallel plate detector, while the sensitivity of the detector was only reduced by 10% . Therefore, incorporating a grid structure within the parallel p...
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: Jiahao Chang Chaoyang Zhu Yuanpeng Song Zhentao Wang Source Type: research

A novel multi-dimensional coal and gangue X-ray sorting algorithm based on CdZnTe photon counting detectors
CONCLUSIONS: Study results demonstrate the superiority of this novel algorithm and its feasibility in practical applications. This novel algorithm can guide other two-substance X-ray sorting applications based on photon counting detectors.PMID:38189737 | DOI:10.3233/XST-230250 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: Yang Kang Rui Wu Peizheng Li Qingpei Li Sen Wu Tingting Tan Yingrui Li Gangqiang Zha Source Type: research

Decomposition iteration strategy for low-dose CT denoising
J Xray Sci Technol. 2024 Jan 5. doi: 10.3233/XST-230272. Online ahead of print.ABSTRACTIn the medical field, computed tomography (CT) is a commonly used examination method, but the radiation generated increases the risk of illness in patients. Therefore, low-dose scanning schemes have attracted attention, in which noise reduction is essential. We propose a purposeful and interpretable decomposition iterative network (DISN) for low-dose CT denoising. This method aims to make the network design interpretable and improve the fidelity of details, rather than blindly designing or using deep CNN architecture. The experiment is t...
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: Zhiyuan Li Yi Liu Pengcheng Zhang Jing Lu Zhiguo Gui Source Type: research

Diagnostic reference levels in spinal CT: Jordanian assessments and global benchmarks
CONCLUSIONS: This research demonstrates a wide range of variability in CTDI (vol) and DLP values for spinal CT examinations; these variations were associated with the acquisition protocol and highlight the need to optimize radiation dose in spinal CT examinations.PMID:38189739 | DOI:10.3233/XST-230276 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: Mohammad Rawashdeh Abdel-Baset Bani Yaseen Mark McEntee Andrew England Praveen Kumar Charbel Saade Source Type: research

Research on breast cancer pathological image classification method based on wavelet transform and YOLOv8
J Xray Sci Technol. 2024 Jan 5. doi: 10.3233/XST-230296. Online ahead of print.ABSTRACT Breast cancer is one of the cancers with high morbidity and mortality in the world, which is a serious threat to the health of women. With the development of deep learning, the recognition about computer-aided diagnosis technology is getting higher and higher. And the traditional data feature extraction technology has been gradually replaced by the feature extraction technology based on convolutional neural network which helps to realize the automatic recognition and classification of pathological images. In this paper, a novel method b...
Source: Journal of X-Ray Science and Technology - January 8, 2024 Category: Radiology Authors: Yunfeng Yang Jiaqi Wang Source Type: research

Ensembled CNN with artificial bee colony optimization method for esophageal cancer stage classification using SVM classifier
CONCLUSION: This study demonstrates that a new deep learning network that combines a multi-CNN model with ABC and a multi-SVM is more efficient than those with individual pre-trained networks for the EC analysis and stage classification.PMID:37980593 | DOI:10.3233/XST-230111 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: A Chempak Kumar D Muhammad Noorul Mubarak Source Type: research

A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke
CONCLUSIONS: This study demonstrates advantages of using a deep learning network to replace the traditional template registration for brain region segmentation, which can determine the shape and location of each brain region more precisely. In addition, a new brain region classifier based on radiomics features has potential to assist physicians in clinical stroke detection and improve the consistency of ASPECTS.PMID:37980594 | DOI:10.3233/XST-230119 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Ting Fang Naijia Liu Shengdong Nie Shouqiang Jia Xiaodan Ye Source Type: research

Multiple energy X-ray imaging of metal oxide particles inside gingival tissues
CONCLUSIONS: Different metal oxide particles were differentiated using Contrast-to-Noise ratio (CNR) by utilizing four different X-ray spectra.PMID:37980595 | DOI:10.3233/XST-230175 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - November 19, 2023 Category: Radiology Authors: Jarrod Cortez Ignacio Romero Jason Ngo Md Sayed Tanveer Azam Chuang Niu C ássio Luiz Coutinho Almeida-da-Silva Leticia Ferreira Cabido David M Ojcius Wei-Chun Chin Ge Wang Changqing Li Source Type: research