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Journals Journal of X-ray Science and T...

Journal of X-ray Science and Technology

https://read.qxmd.com/read/38517837/three-dimensional-analysis-of-puncture-needle-path-through-safety-triangle-approach-pld-and-design-of-puncture-positioning-guide-plate
#1
JOURNAL ARTICLE
Penghui Yu, Yanbing Li, Qidong Zhao, Xia Chen, Liqin Wu, Shuai Jiang, Libing Rao, Yihua Rao
OBJECTIVE: In this study, the three-dimensional relationship between the optimal puncture needle path and the lumbar spinous process was discussed using digital technology. Additionally, the positioning guide plate was designed and 3D printed in order to simulate the surgical puncture of specimens. This plate served as an important reference for the preoperative simulation and clinical application of percutaneous laser decompression (PLD). METHOD: The CT data were imported into the Mimics program, the 3D model was rebuilt, the ideal puncture line N and the associated central axis M were developed, and the required data were measured...
March 20, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38457140/anatomical-changes-and-dosimetric-analysis-of-the-neck-region-based-on-fbct-for-nasopharyngeal-carcinoma-patients-during-radiotherapy
#2
JOURNAL ARTICLE
Aoqiang Chen, Xuemei Chen, Xiaobo Jiang, Yajuan Wang, Feng Chi, Dehuan Xie, Meijuan Zhou
BACKGROUND: The study aimed to investigate anatomical changes in the neck region and their impact on dose distribution in patients with nasopharyngeal carcinoma (NPC) undergoing intensity modulated radiation therapy (IMRT), as well as to determine the optimal time for replanning during treatment. METHODS: Twenty NPC patients received IMRT with weekly pretreatment in-room kV fan beam computed tomography (FBCT) scans. Metastasized lymph nodes in the neck region and organs at risk (OARs) were recontoured based on the FBCT scans...
March 6, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38457139/predicting-the-error-magnitude-in-patient-specific-qa-during-radiotherapy-based-on-resnet
#3
JOURNAL ARTICLE
Ying Huang, Yifei Pi, Kui Ma, Xiaojuan Miao, Sichao Fu, Aihui Feng, Duan Yanhua, Qing Kong, Weihai Zhuo, Zhiyong Xu
BACKGROUND: The error magnitude is closely related to patient-specific dosimetry and plays an important role in evaluating the delivery of the radiotherapy plan in QA. No previous study has investigated the feasibility of deep learning to predict error magnitude. OBJECTIVE: The purpose of this study was to predict the error magnitude of different delivery error types in radiotherapy based on ResNet. METHODS: A total of 34 chest cancer plans (172 fields) of intensity-modulated radiation therapy (IMRT) from Eclipse were selected, of which 30 plans (151 fields) were used for model training and validation, and 4 plans including 21 fields were used for external testing...
March 5, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38427532/high-resolution-x-ray-imaging-of-small-animal-samples-based-on-commercial-off-the-shelf-cmos-image-sensors
#4
JOURNAL ARTICLE
MartÍn Pérez, Gerardo M Lado, Germán Mato, Diego G Franco, Ignacio Artola Vinciguerra, Mariano Gómez Berisso, Federico J Pomiro, José Lipovetzky, Luciano Marpegan
 An automated system for acquiring microscopic-resolution radiographic images of biological samples was developed. Mass-produced, low-cost, and easily automated components were used, such as Commercial-Off-The-Self CMOS image sensors (CIS), stepper motors, and control boards based on Arduino and RaspberryPi. System configuration, imaging protocols, and Image processing (filtering and stitching) were defined to obtain high-resolution images and for successful computational image reconstruction. Radiographic images were obtained for animal samples including the widely used animal models zebrafish (Danio rerio) and the fruit-fly (Drosophila melanogaster), as well as other small animal samples...
February 27, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38393882/machine-learning-framework-for-simulation-of-artifacts-in-paranasal-sinuses-diagnosis-using-ct-images
#5
JOURNAL ARTICLE
Abdullah Musleh
In the medical field, diagnostic tools that make use of deep neural networks have reached a level of performance never before seen. A proper diagnosis of a patient's condition is crucial in modern medicine since it determines whether or not the patient will receive the care they need. Data from a sinus CT scan is uploaded to a computer and displayed on a high-definition monitor to give the surgeon a clear anatomical orientation before endoscopic sinus surgery. In this study, a unique method is presented for detecting and diagnosing paranasal sinus disorders using machine learning...
February 22, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38393884/a-hybrid-thyroid-tumor-type-classification-system-using-feature-fusion-multilayer-perceptron-and-bonobo-optimization
#6
JOURNAL ARTICLE
B Shankarlal, S Dhivya, K Rajesh, S Ashok
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming prevalent these days because of various factors. OBJECTIVES: This paper proposes a novel hybrid classification system that is able to identify and classify the above said four different types of thyroid tumors using high end artificial intelligence techniques. The input data set is obtained from Digital Database of Thyroid Ultrasound Images through Kaggle repository and augmented for achieving a better classification performance using data warping mechanisms like flipping, rotation, cropping, scaling, and shifting...
February 21, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38393883/performance-evaluation-of-deep-learning-image-reconstruction-algorithm-for-dual-energy-spectral-ct-imaging-a-phantom-study
#7
JOURNAL ARTICLE
Haoyan Li, Zhentao Li, Shuaiyi Gao, Jiaqi Hu, Zhihao Yang, Yun Peng, Jihang Sun
OBJECTIVES: To evaluate the performance of deep learning image reconstruction (DLIR) algorithm in dual-energy spectral CT (DEsCT) as a function of radiation dose and image energy level, in comparison with filtered-back-projection (FBP) and adaptive statistical iterative reconstruction-V (ASIR-V) algorithms. METHODS: An ACR464 phantom was scanned with DEsCT at four dose levels (3.5 mGy, 5 mGy, 7.5 mGy, and 10 mGy). Virtual monochromatic images were reconstructed at five energy levels (40 keV, 50 keV, 68 keV, 74 keV, and 140 keV) using FBP, 50% and 100% ASIR-V, DLIR at low (DLIR-L), medium (DLIR-M), and high (DLIR-H) settings...
February 21, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38393881/lossless-compression-based-detection-of-osteoporosis-using-bone-x-ray-imaging
#8
JOURNAL ARTICLE
Khalaf Alshamrani, Hassan A Alshamrani
BACKGROUND: Digital X-ray imaging is essential for diagnosing osteoporosis, but distinguishing affected patients from healthy individuals using these images remains challenging. OBJECTIVE: This study introduces a novel method using deep learning to improve osteoporosis diagnosis from bone X-ray images. METHODS: A dataset of bone X-ray images was analyzed using a newly proposed procedure. This procedure involves segregating the images into regions of interest (ROI) and non-ROI, thereby reducing data redundancy...
February 20, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38306086/a-dense-and-u-shaped-transformer-with-dual-domain-multi-loss-function-for-sparse-view-ct-reconstruction
#9
JOURNAL ARTICLE
Peng Liu, Chenyun Fang, Zhiwei Qiao
OBJECTIVE: CT image reconstruction from sparse-view projections is an important imaging configuration for low-dose CT, as it can reduce radiation dose. However, the CT images reconstructed from sparse-view projections by traditional analytic algorithms suffer from severe sparse artifacts. Therefore, it is of great value to develop advanced methods to suppress these artifacts. In this work, we aim to use a deep learning (DL)-based method to suppress sparse artifacts. METHODS: Inspired by the good performance of DenseNet and Transformer architecture in computer vision tasks, we propose a Dense U-shaped Transformer (D-U-Transformer) to suppress sparse artifacts...
February 1, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38306089/peri-lesion-regions-in-differentiating-suspicious-breast-calcification-only-lesions-specifically-on-contrast-enhanced-mammography
#10
JOURNAL ARTICLE
Kun Cao, Fei Gao, Rong Long, Fan-Dong Zhang, Chen-Cui Huang, Min Cao, Yi-Zhou Yu, Ying-Shi Sun
PURPOSE: The explore the added value of peri-calcification regions on contrast-enhanced mammography (CEM) in the differential diagnosis of breast lesions presenting as only calcification on routine mammogram. METHODS: Patients who underwent CEM because of suspicious calcification-only lesions were included. The test set included patients between March 2017 and March 2019, while the validation set was collected between April 2019 and October 2019. The calcifications were automatically detected and grouped by a machine learning-based computer-aided system...
January 29, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38306087/severity-stratification-of-interstitial-lung-disease-by-deep-learning-enabled-assessment-and-quantification-of-lesion-indicators-from-hrct-images
#11
JOURNAL ARTICLE
Yexin Lai, Xueyu Liu, Fan Hou, Zhiyong Han, Linning E, Ningling Su, Dianrong Du, Zhichong Wang, Wen Zheng, Yongfei Wu
BACKGROUND: Interstitial lung disease (ILD) represents a group of chronic heterogeneous diseases, and current clinical practice in assessment of ILD severity and progression mainly rely on the radiologist-based visual screening, which greatly restricts the accuracy of disease assessment due to the high inter- and intra-subjective observer variability. OBJECTIVE: To solve these problems, in this work, we propose a deep learning driven framework that can assess and quantify lesion indicators and outcome the prediction of severity of ILD...
January 29, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38306088/a-dual-energy-ct-reconstruction-method-based-on-anchor-network-from-dual-quarter-scans
#12
JOURNAL ARTICLE
Junru Ren, Wenkun Zhang, YiZhong Wang, Ningning Liang, Linyuan Wang, Ailong Cai, Shaoyu Wang, Zhizhong Zheng, Lei Li, Bin Yan
Compared with conventional single-energy computed tomography (CT), dual-energy CT (DECT) provides better material differentiation but most DECT imaging systems require dual full-angle projection data at different X-ray spectra. Relaxing the requirement of data acquisition is an attractive research to promote the applications of DECT in wide range areas and reduce the radiation dose as low as reasonably achievable. In this work, we design a novel DECT imaging scheme with dual quarter scans and propose an efficient method to reconstruct the desired DECT images from the dual limited-angle projection data...
January 27, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38277335/classification-of-benign-and-malignant-pulmonary-nodule-based-on-local-global-hybrid-network
#13
JOURNAL ARTICLE
Xin Zhang, Ping Yang, Ji Tian, Fan Wen, Xi Chen, Tayyab Muhammad
BACKGROUND: The accurate classification of pulmonary nodules has great application value in assisting doctors in diagnosing conditions and meeting clinical needs. However, the complexity and heterogeneity of pulmonary nodules make it difficult to extract valuable characteristics of pulmonary nodules, so it is still challenging to achieve high-accuracy classification of pulmonary nodules. OBJECTIVE: In this paper, we propose a local-global hybrid network (LGHNet) to jointly model local and global information to improve the classification ability of benign and malignant pulmonary nodules...
January 24, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38277334/approaches-for-stereotactic-radiosurgery-srs-stereotactic-radiotherapy-srt-in-brain-metastases-using-different-radiotherapy-modalities-feasibility-study
#14
JOURNAL ARTICLE
Zyad A Tawfik, Mohamed El-Azab Farid, Khaled M El Shahat, Ahmed A Hussein, Mostafa Al Etreby
BACKGROUND: SRS and SRT are precise treatments for brain metastases, delivering high doses while minimizing doses to nearby organs. Modern linear accelerators enable the precise delivery of SRS/SRT using different modalities like three-dimensional conformal radiotherapy (3DCRT), intensity-modulated radiotherapy (IMRT), and Rapid Arc (RA). OBJECTIVE: This study aims to compare dosimetric differences and evaluate the effectiveness of 3DCRT, IMRT, and Rapid Arc techniques in SRS/SRT for brain metastases...
January 22, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38217636/comparative-study-of-abdominal-ct-enhancement-in-overweight-and-obese-patients-based-on-different-scanning-modes-combined-with-different-contrast-medium-concentrations
#15
JOURNAL ARTICLE
Kai Gao, Ze-Peng Ma, Tian-Le Zhang, Yi-Wen Liu, Yong-Xia Zhao
PURPOSE: To compare image quality, iodine intake, and radiation dose in overweight and obese patients undergoing abdominal computed tomography (CT) enhancement using different scanning modes and contrast medium. METHODS: Ninety overweight and obese patients (25 kg/m2≤body mass index (BMI)<  30 kg/m2 and BMI≥30 kg/m2) who underwent abdominal CT-enhanced examinations were randomized into three groups (A, B, and C) of 30 each and scanned using gemstone spectral imaging (GSI) +320 mgI/ml, 100 kVp + 370 mgI/ml, and 120 kVp + 370 mgI/ml, respectively...
January 12, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38217632/multimodal-feature-fusion-in-deep-learning-for-comprehensive-dental-condition-classification
#16
JOURNAL ARTICLE
Shang-Ting Hsieh, Ya-Ai Cheng
BACKGROUND: Dental health issues are on the rise, necessitating prompt and precise diagnosis. Automated dental condition classification can support this need. OBJECTIVE: The study aims to evaluate the effectiveness of deep learning methods and multimodal feature fusion techniques in advancing the field of automated dental condition classification. METHODS AND MATERIALS: A dataset of 11,653 clinically sourced images representing six prevalent dental conditions-caries, calculus, gingivitis, tooth discoloration, ulcers, and hypodontia-was utilized...
January 12, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38217628/dosimetry-and-treatment-efficiency-of-sbrt-using-taichib-radiotherapy-system-for-two-lung-lesions-with-one-overlapping-organs-at-risk
#17
JOURNAL ARTICLE
Yanhua Duan, Aihui Feng, Hao Wang, Hua Chen, Hengle Gu, Yan Shao, Ying Huang, Zhenjiong Shen, Qing Kong, Zhiyong Xu
PURPOSE: This study aims to assess the dosimetry and treatment efficiency of TaiChiB-based Stereotactic Body Radiotherapy (SBRT) plans applying to treat two-lung lesions with one overlapping organs at risk. METHODS: For four retrospective patients diagnosed with two-lung lesions each patient, four treatment plans were designed including Plan Edge, TaiChiB linac-based, RGS-based, and a linac-RGS hybrid (Plan TCLinac, Plan TCRGS, and Plan TCHybrid). Dosimetric metrics and beam-on time were employed to evaluate and compare the TaiChiB-based plans against Plan Edge...
January 12, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38217631/photothermal-effect-in-x-ray-images-for-computed-tomography-of-metallic-parts-stainless-steel-spheres
#18
JOURNAL ARTICLE
Verena M Moock, Darien E Arce Chávez, Crescencio García-Segundo, Leopoldo Ruiz-Huerta
BACKGROUND: The environmental impact on industrial X-ray tomography systems has gained its attention in terms of image precision and metrology over recent years, yet is still complex due to the variety of applications. OBJECTIVE: The current study explores the photothermal repercussions of the overall radiation exposure time. It shows the emerging dimensional uncertainty when measuring a stainless steel sphere by means of circular tomography scans. METHODS: The authors develop a novel frame difference method for X-ray radiographies to evaluate the spatial changes induced in the projected absorption maps on the X-ray panel...
January 9, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38217635/multi-parametric-assessment-of-cardiac-magnetic-resonance-images-to-distinguish-myocardial-infarctions-a-tensor-based-radiomics-feature
#19
JOURNAL ARTICLE
Dehua Wang, Hayder Jasim Taher, Murtadha Al-Fatlawi, Badr Ahmed Abdullah, Munojat Khayatovna Ismailova, Razzagh Abedi-Firouzjah
AIM: This study assessed the myocardial infarction (MI) using a novel fusion approach (multi-flavored or tensor-based) of multi-parametric cardiac magnetic resonance imaging (CMRI) at four sequences; T1-weighted (T1W) in the axial plane, sense-balanced turbo field echo (sBTFE) in the axial plane, late gadolinium enhancement of heart short axis (LGE-SA) in the sagittal plane, and four-chamber views of LGE (LGE-4CH) in the axial plane. METHODS: After considering the inclusion and exclusion criteria, 115 patients (83 with MI diagnosis and 32 as healthy control patients), were included in the present study...
January 6, 2024: Journal of X-ray Science and Technology
https://read.qxmd.com/read/38217634/the-investigation-of-dose-rate-and-photon-beam-energy-dependence-of-optimized-passag-polymer-gel-dosimeter-using-magnetic-resonance-imaging
#20
JOURNAL ARTICLE
Bo Liu, Shaima Haithem Zaki, Eduardo García, Amanda Bonilla, Daha Thabit, Aya Hussein Adab
OBJECTIVE: It seems that dose rate (DR) and photon beam energy (PBE) may influence the sensitivity and response of polymer gel dosimeters. In the current project, the sensitivity and response dependence of optimized PASSAG gel dosimeter (OPGD) on DR and PBE were assessed. MATERIALS AND METHODS: We fabricated the OPGD and the gel samples were irradiated with various DRs and PBEs. Then, the sensitivity and response (R2) of OPGD were obtained by MRI at various doses and post-irradiation times...
January 6, 2024: Journal of X-ray Science and Technology
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