Detector Development Status and Outlook of the SACLA/SPring-8 Site

2014 ◽  
Vol 70 (a1) ◽  
pp. C686-C686
Author(s):  
Takaki Hatsui ◽  
Shun Ono ◽  
Togo Kudo ◽  
Kazuo Kobayashi ◽  
Takashi Kameshima ◽  
...  
Keyword(s):  
Silicon On Insulator ◽  
Frame Rate ◽  
Sensor Technology ◽  
X Rays ◽  
Charge Coupled Device ◽  
X Ray ◽  
X Ray Imaging ◽  
Imaging Detector ◽  
Laser Facility ◽  
Scientific Results

X-ray Free-Electron Laser facility, SACLA has been operational for more than 2 years. During the user runs, multi-port charge coupled device (MPCCD) detectors has been extensively used to deliver novel scientific results. In order to strengthen the facility capability, we are developing new variants of the MPCCD detectors[1]. Because some of the features such as high peak signal detection cannot be implemented by CCD technology, novel monolithic process based on silicon-on-insulator (SOI) sensor technology is under development. By employing the novel process, we are developing SOPHIAS sensor targeting the peak signal of 40000 photons at 7 keV within 100 micrometer square[2]. The SPring-8 site has proposed an upgrade of the storage ring to SPring-8 II. After the upgrades, we will obtain brighter x-rays, for example, 10^13 photons/second within a diameter of 100 nanometer. With this kind of bright X-ray sources, X-ray imaging detector with higher count rate, higher frame rate, and higher quantum efficiency up to 20-30 keV region is required. Detector development plan toward these targets are also discussed.

Defects of Platelet Function Recognized by X-Ray Imaging and Scanning Electron Microscopy

1985 ◽  
Vol 43 ◽  
pp. 610-613
Author(s):  
M.G. Baldini ◽  
S. Morinaga ◽  
D. Minasian ◽  
R. Feder ◽  
D. Sayre ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Cell Biology ◽  
Imaging Technique ◽  
Human Platelets ◽  
X Rays ◽  
X Ray ◽  
X Ray Imaging ◽  
Complex Phenomena ◽  
Scanning Electron

Contact X-ray imaging is presently developing as an important imaging technique in cell biology. Our recent studies on human platelets have demonstrated that the cytoskeleton of these cells contains photondense structures which can preferentially be imaged by soft X-ray imaging. Our present research has dealt with platelet activation, i.e., the complex phenomena which precede platelet appregation and are associated with profound changes in platelet cytoskeleton. Human platelets suspended in plasma were used. Whole cell mounts were fixed and dehydrated, then exposed to a stationary source of soft X-rays as previously described. Developed replicas and respective grids were studied by scanning electron microscopy (SEM).

Measurement of the parameters of a linear CCD structure as a one-dimensional X-ray imaging detector

1983 ◽  
Vol 208 (1-3) ◽  
pp. 427-433 ◽  
Author(s):  
M.G. Fedotov ◽  
E.A. Kuper ◽  
V.N. Litvinenko ◽  
V.E. Panchenko ◽  
V.A. Ushakov
Keyword(s):  
One Dimensional ◽  
X Ray ◽  
Linear Ccd ◽  
X Ray Imaging ◽  
Imaging Detector

An investigation into the extent of Lodox imaging usage in South Africa: Radiographer’s perspective

2021 ◽  
Author(s):  
Julius Muchui Thambura ◽  
Jeanette G.E du Plessis ◽  
Cheryl M E McCrindle ◽  
Tanita Cronje
Keyword(s):  
South Africa ◽  
Waiting Times ◽  
Cross Sectional Study ◽  
Trauma Patients ◽  
X Rays ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Imaging Protocol ◽  
X Ray ◽  
X Ray Imaging

Abstract Introduction Anecdotal evidence suggests that medical professionals in trauma units are requesting additional regional images using conventional x-ray systems, even after trauma patients have undergone full-body Lodox scans. Patients are then exposed to additional radiation, additional waiting times and an increased medical bill. This study aimed at investigating the extent to which Lodox systems were used in trauma units (n=28) in South Africa. Method In this descriptive cross-sectional study, the researcher invited one radiographer from the 28 hospitals in South Africa that use Lodox systems. Radiographers who were most experienced in using the Lodox system completed an online questionnaire. Results Twenty (71.43% n=20) out of twenty-eight radiographers responded. Most hospitals (90%, n=18) were referring patients for additional conventional x-ray images. Radiographers indicated that conventional x-rays were requested for the chest (27.80%, 10/36), the abdomen (16.67%, 6/36), the spine (13.89%, 5/36) and the extremities and skull (19.44%, 7/36). Additionally, radiographers reported using Lodox to perform procedures and examinations usually performed on conventional x-ray systems when conventional x-ray systems were not operational. Conclusion Currently, it is not clear if the use of conventional x-ray imaging following Lodox is necessary, but the results suggest that the practice is commonplace, with healthcare workers in most hospitals (90%, n=18) requesting additional x-ray imaging. The researcher thus recommends that an imaging protocol for Lodox imaging systems should be developed to guide the referral of the patients for further imaging.

Growth of thick CdTe epilayers on GaAs substrates and evaluation of CdTe/n+-GaAs heterojunction diodes for an X-ray imaging detector

2004 ◽  
Vol 33 (6) ◽  
pp. 645-650 ◽  
Author(s):  
M. Niraula ◽  
K. Yasuda ◽  
Y. Nakanishi ◽  
K. Uchida ◽  
T. Mabuchi ◽  
...  
Keyword(s):  
X Ray ◽  
Gaas Substrates ◽  
X Ray Imaging ◽  
Imaging Detector ◽  
Heterojunction Diodes

Characterization of Fine-Pixel X-Ray Imaging Detector Array Fabricated by Using Thick Single-Crystal CdTe Layers on Si Substrates Grown by MOVPE

2019 ◽  
Vol 66 (1) ◽  
pp. 518-523
Author(s):  
Madan Niraula ◽  
Kazuhito Yasuda ◽  
Shintaro Tsubota ◽  
Taiki Yamaguchi ◽  
Junya Ozawa ◽  
...  
Keyword(s):  
Single Crystal ◽  
Detector Array ◽  
X Ray ◽  
Si Substrates ◽  
X Ray Imaging ◽  
Imaging Detector

scholarly journals High-sensitivity high-resolution X-ray imaging with soft-sintered metal halide perovskites

2021 ◽  
Vol 4 (9) ◽  
pp. 681-688
Author(s):  
Sarah Deumel ◽  
Albert van Breemen ◽  
Gerwin Gelinck ◽  
Bart Peeters ◽  
Joris Maas ◽  
...  
Keyword(s):  
High Sensitivity ◽  
Metal Halide ◽  
Detector Arrays ◽  
X Ray ◽  
Carrier Lifetimes ◽  
Sintered Metal ◽  
X Ray Imaging ◽  
Imaging Detector ◽  
High Carrier ◽  
Halide Perovskites

AbstractTo realize the potential of artificial intelligence in medical imaging, improvements in imaging capabilities are required, as well as advances in computing power and algorithms. Hybrid inorganic–organic metal halide perovskites, such as methylammonium lead triiodide (MAPbI3), offer strong X-ray absorption, high carrier mobilities (µ) and long carrier lifetimes (τ), and they are promising materials for use in X-ray imaging. However, their incorporation into pixelated sensing arrays remains challenging. Here we show that X-ray flat-panel detector arrays based on microcrystalline MAPbI3 can be created using a two-step manufacturing process. Our approach is based on the mechanical soft sintering of a freestanding absorber layer and the subsequent integration of this layer on a pixelated backplane. Freestanding microcrystalline MAPbI3 wafers exhibit a sensitivity of 9,300 µC Gyair–1 cm–2 with a μτ product of 4 × 10–4 cm2 V–1, and the resulting X-ray imaging detector, which has 508 pixels per inch, combines a high spatial resolution of 6 line pairs per millimetre with a low detection limit of 0.22 nGyair per frame.

scholarly journals Truncated Inception Net: COVID-19 Outbreak Screening using Chest X-rays

2020 ◽  
Author(s):  
Dipayan Das ◽  
KC Santosh ◽  
Umapada Pal
Keyword(s):  
Neural Network ◽  
World Wide ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Ct Scans ◽  
X Rays ◽  
X Ray ◽  
X Ray Imaging ◽  
Proposed Model ◽  
Different Types

Abstract Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in less than a couple of months, and the infection, caused by SARS-CoV-2, is spreading at an unprecedented rate. AI-driven tools are used to identify Coronavirus outbreaks as well as forecast their nature of spread, where imaging techniques are widely used, such as CT scans and chest X-rays (CXRs). In this paper, motivated by the fact that X-ray imaging systems are more prevalent and cheaper than CT scan systems, a deep learning-based Convolutional Neural Network (CNN) model, which we call Truncated Inception Net, is proposed to screen COVID-19 positive CXRs from other non-COVID and/or healthy cases. To validate our proposal, six different types of datasets were employed by taking the following CXRs: COVID-19 positive, Pneumonia positive, Tuberculosis positive, and healthy cases into account. The proposed model achieved an accuracy of 99.96% (AUC of 1.0) in classifying COVID- 19 positive cases from combined Pneumonia and healthy cases. Similarly, it achieved an accuracy of 99.92% (AUC of 0.99) in classifying COVID-19 positive cases from combined Pneumonia, Tuberculosis and healthy CXRs. To the best of our knowledge, as of now, the achieved results outperform the existing AI-driven tools for screening COVID-19 using CXRs.

scholarly journals Megavoltage X-Ray Imaging Based on Cerenkov Effect: A New Application of Optical Fibres to Radiation Therapy

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
A. Teymurazyan ◽  
G. Pang
Keyword(s):  
Optical Fibres ◽  
X Rays ◽  
Modulation Transfer ◽  
Imaging Device ◽  
Active Matrix ◽  
X Ray ◽  
X Ray Imaging ◽  
Order Of Magnitude ◽  
Detection Quantum Efficiency ◽  
Cerenkov Effect

A Monte Carlo simulation was used to study imaging and dosimetric characteristics of a novel design of megavoltage (MV) X-ray detectors for radiotherapy applications. The new design uses Cerenkov effect to convert X-ray energy absorbed in optical fibres into light for MV X-ray imaging. The proposed detector consists of a matrix of optical fibres aligned with the incident X rays and coupled to an active matrix flat-panel imager (AMFPI) for image readout. Properties, such as modulation transfer function, detection quantum efficiency (DQE), and energy response of the detector, were investigated. It has been shown that the proposed detector can have a zero-frequency DQE more than an order of magnitude higher than that of current electronic portal imaging device (EPID) systems and yet a spatial resolution comparable to that of video-based EPIDs. The proposed detector is also less sensitive to scattered X rays from patients than current EPIDs.

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