Material decomposition for simulated dual-energy breast computed tomography via hybrid optimization method.
CONCLUSIONS: This study demonstrates the potential of applying dual-energy reconstruction in breast CT to detect and separate clustered MCs from healthy breast tissues without noise amplification. Compared to other competing methods, the proposed algorithm achieves the best noise suppression performance for both reconstructed and decomposed images. PMID: 33044222 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 14, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Low-dose CT reconstruction method based on prior information of normal-dose image.
CONCLUSIONS: This study presents a new low-dose CT reconstruction method based on prior information of normal-dose image (PI-NDI) for sparse-view CT image reconstruction. The experimental results validate that the new method has superior performance over other state-of-art methods. PMID: 33044223 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - October 14, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Predicting fringe visibility in dual-phase grating interferometry with polychromatic x-ray sources.
Authors: Yan A, Wu X, Liu H Abstract Dual phase grating X-ray interferometry is radiation dose-efficient as compared to common Talbot-Lau grating interferometry. The authors developed a general quantitative theory to predict the fringe visibility in dual-phase grating x-ray interferometry with polychromatic x-ray sources. The derived formulas are applicable to setups with phase gratings of any phase modulation and with either monochromatic or polychromatic x-rays. Numerical simulations are presented to validate the derived formulas. The theory provides useful tools for design optimization of dual-phase grating x-ra...
Source: Journal of X-Ray Science and Technology - October 14, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Development of a computational tool for estimating computed tomography dose parameters.
CONCLUSIONS: The prototyped computational model provides a tool for the simulation of a machine-specific spectrum and CT dose parameters using a single dose measurement. PMID: 32986646 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - September 29, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Automatic tooth roots segmentation of cone beam computed tomography image sequences using U-net and RNN.
CONCLUSIONS: The study demonstrates that the new method combining attention U-net with RNN yields the promising results of automatic tooth roots segmentation, which has potential to help improve the segmentation efficiency and accuracy in future clinical practice. PMID: 32986647 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - September 29, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Evaluation of reconstruction algorithms for  a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array.
Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array. J Xray Sci Technol. 2020 Sep 10;: Authors: Hu Z, Chen Z, Zhou C, Hong X, Chen J, Zhang Q, Jiang C, Ge Y, Yang Y, Liu X, Zheng H, Li Z, Liang D Abstract Breast cancer is the most frequently diagnosed cancer in women worldwide. Digital breast tomosynthesis (DBT), which is based on limited-angle tomography, was developed to solve tissue overlapping problems associated with traditional breast mammography. However, due to the problems associated with tube movement dur...
Source: Journal of X-Ray Science and Technology - September 16, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Diagnostic performance on multiple parameters of real-time ultrasound shear wave elastography for evaluating nonalcoholic fatty liver disease: A rabbit model.
CONCLUSIONS: Real-time US-SWE is an accurate, noninvasive technique for evaluating the histological stages of NAFLD by measuring liver stiffness. We recommend using the mean elastic modulus to differentiate the histological stages, with the minimum and maximum elastic modulus as valuable complements. PMID: 32925160 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - September 16, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Quick and accurate selection of hand images among radiographs from various body parts using deep learning.
CONCLUSIONS: Deep learning showed promise to enable efficiently automatic selection of target X-ray images of RA patients. PMID: 32925161 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - September 16, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Application of texture analysis based on T2-weighted magnetic resonance images in discriminating Gleason scores of prostate cancer.
Authors: Pan R, Yang X, Shu Z, Gu Y, Weng L, Jia Y, Feng J Abstract OBJECTIVE: To investigate the value of texture analysis in magnetic resonance images for the evaluation of Gleason scores (GS) of prostate cancer. METHODS: Sixty-six prostate cancer patients are retrospective enrolled, which are divided into five groups namely, GS = 6, 3 + 4, 4 + 3, 8 and 9-10 according to postoperative pathological results. Extraction and analysis of texture features in T2-weighted MR imaging defined tumor region based on pathological specimen after operation are performed by texture software OmniKinetics. The valu...
Source: Journal of X-Ray Science and Technology - September 16, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Deformable registration and region-of-interest image reconstruction in  sparse repeat CT scanning.
CONCLUSION: Our method is considerably faster than existing methods, thereby enabling intraoperative online repeat scanning that it is accurate and accounts for position, deformation, and structure changes at a fraction of the radiation dose required by existing methods. PMID: 32925163 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - September 16, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Fully-automatic segmentation of coronary artery using growing algorithm.
In this study, we propose and test a fully automatic coronary artery segmentation method that does not require any human-computer interaction. The proposed method uses a growing strategy and contains three main parts namely, (1) the initial seed detection that automatically detects the root points of the left and right coronary arteries where the ascending aorta meets the coronary arteries, (2) the growing strategy that searches for the neighborhood blocks to decide the existence of coronary arteries with an improved convolutional neural network, and (3) the iterative termination condition that decides whether the growing ...
Source: Journal of X-Ray Science and Technology - September 16, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography.
This study aims to trace the dynamic lung changes of coronavirus disease 2019 (COVID-19) using computed tomography (CT) images by a quantitative method. METHODS: In this retrospective study, 28 confirmed COVID-19 cases with 145 CT scans are collected. The lesions are detected automatically and the parameters including lesion volume (LeV/mL), lesion percentage to lung volume (LeV%), mean lesion density (MLeD/HU), low attenuation area lower than - 400HU (LAA-400%), and lesion weight (LM/mL*HU) are computed for quantification. The dynamic changes of lungs are traced from the day of initial symptoms to the day of discharge...
Source: Journal of X-Ray Science and Technology - September 16, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Retrospective 3D analysis of bone regeneration after cystectomy of odontogenic cysts.
CONCLUSIONS: By establishing a standardized 3D method for evaluating bone regeneration, healing can be better monitored and evaluated. PMID: 32804111 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - August 19, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age.
Authors: Gu Q, Ouyang X, Xie A, Tan X, Liu J, Huang F, Liu P Abstract OBJECTIVE: To retrospectively analyze and stratify the initial clinical features and CT imaging findings of patients with COVID-19 by gender and age. METHODS: Data of 50 COVID-19 patients were collected in two hospitals. The clinical manifestations, laboratory examination and chest CT imaging features were analyzed, and a stratification analysis was performed according to gender and age [younger group:
Source: Journal of X-Ray Science and Technology - August 19, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms.
CONCLUSION: This study demonstrated that a deep transfer learning is feasible to detect COVID-19 disease automatically from chest X-ray by training the learning model with chest X-ray images mixed with COVID-19 patients, other pneumonia affected patients and people with healthy lungs, which may help doctors more effectively make their clinical decisions. The study also gives an insight to how transfer learning was used to automatically detect the COVID-19 disease. In future studies, as the amount of available dataset increases, different convolution neutral network models could be designed to achieve the goal more efficien...
Source: Journal of X-Ray Science and Technology - August 19, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Recognition of calcifications in thyroid nodules based on attention-gated collaborative supervision network of ultrasound images.
CONCLUSIONS: our collaborative semi-supervised model has a preferable performance in calcification recognition, and it reduces the number of manual annotations of pixel-level labels. Moreover, it may be of great reference for the object recognition of medical dataset with few labels. PMID: 32804114 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - August 19, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Hybrid clustering system using Nystagmus parameters discrimination for vestibular disorder diagnosis.
CONCLUSIONS: The developed expert system is promising in solving the problem of VNG analysis and achieving accurate results of vestibular disorder recognition or diagnosis comparing to other methods or classifiers. PMID: 32773399 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - August 13, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches.
CONCLUSION: This study demonstrates the effectiveness of deep transfer learning techniques for the identification of COVID-19 cases using CXR images. PMID: 32773400 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - August 13, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Comparison of central, peripheral, and weighted size-specific dose in CT.
The objective of this study is to determine X-ray dose distribution and the correlation between central, peripheral and weighted-centre peripheral doses for various phantom sizes and tube voltages in computed tomography (CT). We used phantoms developed in-house, with various water-equivalent diameters (Dw) from 8.5 up to 42.1 cm. The phantoms have one hole in the centre and four holes at the periphery. By using these five holes, it is possible to measure the size-specific central dose (Ds,c), peripheral dose (Ds,p), and weighted dose (Ds,w).The phantoms are scanned using a CT scanner (Siemens Somatom Definition AS), with...
Source: Journal of X-Ray Science and Technology - August 13, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Questionable necessity of nitroglycerin for diagnostic coronary artery examination using 320-row multi-detector computed tomography.
This study aims to analyze and compare the diagnostic effectiveness of 320-row multi-detector computed tomography for coronary artery angiography (MDCTA) in subjects with and without sublingual vasodilator (nitroglycerin). MATERIALS AND METHODS: From September 2015 to September 2016, 70 individuals without history of major cardiovascular diseases who underwent MDCTA for health examination were retrospectively categorized into sublingual nitroglycerin (NTG) and non-NTG groups. Medical history, CT dose index (CTDI), and multi-slice CT images were compared between two groups. A diameter of coronary artery (DA, mm) was com...
Source: Journal of X-Ray Science and Technology - August 5, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Effect of iterative reconstruction algorithm levels on noise index and figure-of-merit in CT pulmonary angiography examinations.
Authors: Harun HH, Karim MKA, Abbas Z, Sabarudin A, Muniandy SC, Ibahim MJ Abstract PURPOSE: To evaluate the influence of iterative reconstruction (IR) levels on Computed Tomography (CT) image quality and to establish Figure of Merit (FOM) value for CT Pulmonary Angiography (CTPA) examinations. METHODS: Images of 31 adult patients who underwent CTPA examinations in our institution from March to April 2019 were retrospectively collected. Other data, such as scanning parameters, radiation dose and body habitus information from the subjects were also recorded. Six different levels of IR were applied to the volume ...
Source: Journal of X-Ray Science and Technology - August 5, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Dynamic CT assessment of disease change and prognosis of patients with moderate COVID-19 pneumonia.
CONCLUSION: The moderate COVID-19 pneumonia CT score increased rapidly in a short period of time initially, followed by a slow decline over a relatively long time. The peak of the course occurred in stage 2. Complete recovery of patients with moderate COVID-19 pneumonia with high mean CT score at the time of discharge requires longer time. PMID: 32741802 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - August 5, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Fusion of 3-D medical image gradient domain based on detail-driven and directional structure tensor.
CONCLUSION: Experimental results demonstrated that this new method is superior to the traditional structure tensor and multi-scale analysis in both visual effect and quantitative assessment. PMID: 32675434 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - July 18, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

L3-subshell alignment of Ag in collision with 15  keV electrons.
This study found that Lβ2 line exhibits anisotropic emission spatially, while the emission of Lα, Lβ1 and Lγ1 lines is isotropic. The results are interpreted by the influence of the Coster-Kronig (CK) transitions on the spatial distribution of X-ray emission. The anisotropy parameter β for Lβ2 lines is obtained experimentally and consequently the alignment degree A20 for L3 subshell is determined by taking CK transition into account. Namely, the alignment does exist in L3-subshell for atomic ionization by electron impact. The measurements offer an evidence to the existence of alignment for a...
Source: Journal of X-Ray Science and Technology - July 18, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: Three case reports.
Authors: Su Y, Han Y, Liu J, Qiu Y, Tan Q, Zhou Z, Yu YZ, Chen J, Giger ML, Lure FYM, Luo Z Abstract In this article, we analyze and report cases of three patients who were admitted to Renmin Hospital, Wuhan University, China, for treating COVID-19 pneumonia in February 2020 and were unresponsive to initial treatment of steroids. They were then received titrated steroids treatment based on the assessment of computed tomography (CT) images augmented and analyzed with the artificial intelligence (AI) tool and output. Three patients were finally recovered and discharged. The result indicated that sufficient steroids m...
Source: Journal of X-Ray Science and Technology - July 18, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Developing and verifying automatic detection of active pulmonary tuberculosis from multi-slice spiral CT images based on deep learning.
CONCLUSION: An AI tool for automatic detection of ATB in chest CT is successfully developed in this study. The AI tool can accurately detect ATB patients, and distinguish between ATB and non- ATB cases, which simplifies the diagnosis process and lays a solid foundation for the next step of AI in CT diagnosis of ATB in clinical application. PMID: 32651351 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - July 13, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Diagnosis of osteoporosis using modified U-net architecture with attention unit in DEXA and X-ray images.
CONCLUSION: Our modified U-Net with attention unit achieves significantly higher results in terms of Dice score and classification accuracy. The computed BMD and T-score values of the proposed method are also compared with the respective clinical reports for validation. Hence, using the digitized X-Ray images can be used to detect osteoporosis efficiently and accurately. PMID: 32651352 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - July 13, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Assessment of image quality and dose in contrast-enhanced head and neck CT angiography of New Zealand rabbit.
CONCLUSIONS: Low dose CTA of rabbits with 70 or 80 kVp is feasible in a 256-slice or a 64-slice CT scanner. The radiation dose from the 256-slice CTA was much lower than that from the 64-slice CTA with comparable SNR and CNR. The technique can be further applied in longitudinal monitoring of an animal stroke model in the future. PMID: 32597826 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - July 1, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Statistical image-based material decomposition for triple-energy computed tomography using total variation regularization.
CONCLUSIONS: The PWLS-TV method can simultaneously perform noise reduction and material decomposition in one iterative step, and it results in a considerable improvement of basis material image quality. PMID: 32597827 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - July 1, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

An enhanced OCT image captioning system to assist ophthalmologists detecting and classifying eye diseases.
Authors: Vellakani S, Pushbam I Abstract Human eye is affected by the different eye diseases including choroidal neovascularization (CNV), diabetic macular edema (DME) and age-related macular degeneration (AMD). This work aims to design an artificial intelligence (AI) based clinical decision support system for eye disease detection and classification to assist the ophthalmologists more effectively detecting and classifying CNV, DME and drusen by using the Optical Coherence Tomography (OCT) images depicting different tissues. The methodology used for designing this system involves different deep learning convolution...
Source: Journal of X-Ray Science and Technology - July 1, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey.
CONCLUSIONS: From the critical discussion and an outline for prospective directions, this survey provide researchers valuable information to master the deep learning concepts and to deepen their knowledge of the trend and latest techniques in developing CAD schemes of lung CT images. PMID: 32568165 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - June 24, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

A radiomics signature to identify malignant and benign liver tumors on plain CT images.
CONCLUSIONS: The developed radiomics signature was statistically significantly correlated with malignant/benign liver tumors (p 
Source: Journal of X-Ray Science and Technology - June 24, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Differentiating pneumonia with and without  COVID-19 using chest CT images: from qualitative to quantitative.
CONCLUSION: The proposed quantitative scoring criteria showed high sensitivity and moderate specificity in detecting COVID-19 using CT images, which indicates that these criteria may be beneficial for screening in real-world practice and helpful for long-term disease control. PMID: 32568167 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - June 24, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Epithelial salivary gland tumors: Utility of radiomics analysis based on diffusion- weighted imaging for differentiation of benign from malignant tumors.
CONCLUSIONS: Classification models based on optimally selected radiomics features computed from DW images present a promising predictive value in distinguishing benign and malignant epithelial salivary gland tumors and thus have potential to be used for preoperative auxiliary diagnosis. PMID: 32538891 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - June 17, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Automatic detection of the meningioma tumor firmness in MRI images.
Authors: AlKubeyyer A, Ben Ismail MM, Bchir O, Alkubeyyer M Abstract Meningioma is among the most common primary tumors of the brain. The firmness of Meningioma is a critical factor that influences operative strategy and patient counseling. Conventional methods to predict the tumor firmness rely on the correlation between the consistency of Meningioma and their preoperative MRI findings such as the signal intensity ratio between the tumor and the normal grey matter of the brain. Machine learning techniques have not been investigated yet to address the Meningioma firmness detection problem. The main purpose of this ...
Source: Journal of X-Ray Science and Technology - June 17, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Clinical and radiological features of novel coronavirus pneumonia.
Authors: Zheng Q, Lu Y, Lure F, Jaeger S, Lu P Abstract Recently, COVID-19 has spread in more than 100 countries and regions around the world, raising grave global concerns. COVID-19 transmits mainly through respiratory droplets and close contacts, causing cluster infections. The symptoms are dominantly fever, fatigue, and dry cough, and can be complicated with tiredness, sore throat, and headache. A few of patients have symptoms such as stuffy nose, runny nose, and diarrhea. The severe disease can progress rapidly into the acute respiratory distress syndrome (ARDS). Reverse transcription polymerase chain reaction ...
Source: Journal of X-Ray Science and Technology - June 17, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Challenges in the diagnosis of testicular infarction in the presence of prolonged epididymitis: Three cases report and literature review.
In this study, we present three cases of testicular infarction and discuss their clinical characteristics, imaging features and clinical management. PATIENTS AND METHODS: Three adult males with prolonged epididymitis presented with chronic unilateral testicular pain, tenderness, and palpable swelling, including left varicocele in one case and hydrocele in the other two cases. Patient's symptoms were not relieved after antibiotic therapy. We analyzed the diagnosis, management, and outcome of these three cases of testicular infarction resulting from prolonged epididymitis. This includes the clinical characteristics, feat...
Source: Journal of X-Ray Science and Technology - June 1, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Analysis of thin-section CT in patients with coronavirus disease (COVID-19) after hospital discharge.
CONCLUSIONS: Pulmonary fibrosis may develop early in patients with COVID-19 after hospital discharge. Older patients with severe illness during treatment were more prone to develop fibrosis according to thin-section CT results. PMID: 32474479 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - June 1, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

DCU-Net: Multi-scale U-Net for brain tumor segmentation.
CONCLUSIONS: The experiment results indicate that the proposed model yields a promising performance in automated brain tumor segmentation. PMID: 32444591 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 25, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Three-dimensional evaluation of skeletal and dental changes in patients with skeletal class III malocclusion and facial asymmetry after surgical-orthodontic treatment.
This study included forty adult patients diagnosed with skeletal Class III malocclusion and asymmetry who underwent either isolated mandibular surgery or bimaxillary surgery. CBCT scans were taken before treatment (T0), at the completion of presurgical orthodontic treatment (T1) and after treatment (T2). Mimics 17.0 and 3-Matics 7.0 were used to measure skeletal and dental parameters. Skeletal and dental changes within each group from pretreatment to posttreatment were assessed, and Pearson correlation analysis was used to analyze the correlations among skeletal changes. RESULTS: The three-dimensional changes in condyl...
Source: Journal of X-Ray Science and Technology - May 18, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Dosimetric measurement of scattered radiation for simulated head and neck radiotherapy with homemade oral phantom.
Authors: Li KL, Lin JP, Chen YC, Lu CC Abstract During radiotherapy for head and neck tumours, the oral cavity and cheek area would be inevitably exposed to high energy radiation; thus, the material surface of the teeth, dental restorations with high atomic number, or alloy prosthodontics would generate backscatter electrons that cause the buccal mucosa adjacent to these materials to receive localized high dose enhancement, which primarily leads to side effects or oral mucositis. Based on the size of the adult oral cavity, this study aimed to use acrylic resin to create an oral phantom with two grooves on the left ...
Source: Journal of X-Ray Science and Technology - May 18, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Dosimetric evaluation of PASSAG-U polymer gel dosimeter: Dependence of dose rate and photon energy.
CONCLUSIONS: The study results demonstrated that dosimetric characteristics (dependence of dose rate and photon energy, and dose resolution) of PASSAG-U gel dosimeter with 3% were better than those of PASSAG-U gel dosimeter with 5% urea. PMID: 32390644 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 12, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

A reference architecture for plausible Threat Image Projection (TIP) within 3D X-ray computed tomography volumes.
CONCLUSION: Qualitative evaluations on real 3D CT baggage imagery show that our approach is able to generate realistic and plausible TIP which are indiscernible from real CT volumes and the TIP quality scores are consistent with human evaluations. PMID: 32390645 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - May 12, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Breast cancer pathological image classification based on deep learning.
Authors: Hou Y Abstract The automatic classification of breast cancer pathological images has important clinical application value. However, to develop the classification algorithm using the artificially extracted image features faces several challenges including the requirement of professional domain knowledge to extract and compute highiquality image features, which are often time-consuming, laborious, and difficult. For overcoming these challenges, this study developed and applied an improved deep convolutional neural network model to perform automatic classification of breast cancer using pathological images. S...
Source: Journal of X-Ray Science and Technology - May 12, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

A review of airport dual energy X-ray baggage inspection techniques: image enhancement and noise reduction.
Authors: Khan SU, Khan IU, Ullah I, Saif N, Ullah I Abstract In this paper, we present a review of the research literature regarding applying X-ray imaging of baggage scrutiny at airport. It discusses multiple X-ray imaging inspection systems used in airports for detecting dangerous objects inside the baggage. Moreover, it also explains the dual energy X-ray image fusion and image enhancement factors. Different types of noises in digital images and noise models are explained in length. Diagrammatical representations for different noise models are presented and illustrated to clearly show the effect of Poisson and I...
Source: Journal of X-Ray Science and Technology - May 12, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Review of CT image reconstruction open source toolkits.
Authors: Shi L, Liu B, Yu H, Wei C, Wei L, Zeng L, Wang G Abstract Computed tomography (CT) has been widely applied in medical diagnosis, nondestructive evaluation, homeland security, and other science and engineering applications. Image reconstruction is one of the core CT imaging technologies. In this review paper, we systematically reviewed the currently publicly available CT image reconstruction open source toolkits in the aspects of their environments, object models, imaging geometries, and algorithms. In addition to analytic and iterative algorithms, deep learning reconstruction networks and open codes are al...
Source: Journal of X-Ray Science and Technology - May 12, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Combining ultrasonography and mammography to improve diagnostic accuracy of plasma cell mastitis.
Authors: Hu J, Huang X Abstract OBJECTIVE: To evaluate the diagnostic value of ultrasonography and mammography for plasma cell mastitis. METHODS: The ultrasonographic and mammographic images of 111 women with histopathologically confirmed plasma cell mastitis were retrospectively analyzed. The diagnostic accuracy of the two imaging methods was compared. RESULTS: Ultrasonography identified 91 out of 111 (82.0%) patients with plasma cell mastitis, while the other twenty (18.0%) patients were misdiagnosed. Mammography identified 83 (74.8%) out of 111 patients with plasma cell mastitis. Nineteen (17.1%) patient...
Source: Journal of X-Ray Science and Technology - April 27, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Qualitative and quantitative image analysis of 16  cm wide-coverage computed tomography compared to new-generation dual-source CT.
This study aims to compare the performance of 16 cm wide-coverage detector CT (WDCT) using the snapshot freeze technique with a new-generation dual-source CT (DSCT) with 66 ms temporal resolution for CCTA. METHODS: Total 101 patients with suspected coronary heart disease were enrolled. Of these, 50 and 51 patients were examined on WDCT and DSCT, respectively. CT values, image noise, signal-to-noise ratio, and contrast-to-noise ratio were measured. The image processing efficiency was recorded, followed by statistical comparison of diagnostic accuracy and radiation dose. RESULTS: Ninety-nine patients (98.02%) had...
Source: Journal of X-Ray Science and Technology - April 27, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation.
CONCLUSIONS: Laterally-shifted detector CBBCT with at least 220 pixels overlap in conjugate views (24.1×30 cm detector format) provides quantitatively accurate and artifact-free image reconstruction. PMID: 32333575 [PubMed - as supplied by publisher] (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - April 27, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research

An adaptive pulmonary nodule detection algorithm.
Authors: Cao K, Meng G, Wang Z, Liu Y, Liu H, Sun L Abstract Recently, lung cancer has been paid more and more attention. People have reached a consensus that early detection and early treatment can improve the survival rate of patients. Among them, pulmonary nodules are the important reference for doctors to determine the lung health. With the continuous improvement of CT image resolution, more suspected pulmonary nodule information appears from the impact of chest CT. How to relatively and accurately locate the suspected nodule location from a large number of CT images has brought challenges to the doctor's daily...
Source: Journal of X-Ray Science and Technology - April 27, 2020 Category: Radiology Tags: J Xray Sci Technol Source Type: research