scholarly journals Investigation of TLD-700 energy response to low energy x-ray encountered in diagnostic radiology

Open Physics ◽  
2016 ◽  
Vol 14 (1) ◽  
pp. 150-158
Author(s):  
Ammar Herrati ◽  
Mourad Bourouina ◽  
Karima Khalal-Kouache
Keyword(s):  
Good Accuracy ◽  
Low Energy ◽  
Diagnostic Radiology ◽  
Maximum Deviation ◽  
Energy Response ◽  
Radiation Quality ◽  
X Ray ◽  
Thermoluminescent Dosimeter ◽  
Entrance Dose ◽  
Better Than

AbstractThe aim of thiswork is to study the energy dependence of thermoluminescent dosimeter (TLD-700) for low energy X-ray beams encountered in conventional diagnostic radiology. In the first step, we studied some characteristics (reproducibility and linearity) of TLD-700 chips using a 137Cs source, and selected TLD chips with reproducibility better than 2.5%. Then we determined TLD-700 energy response for diagnostic radiology X-ray qualities, and investigated its influence on air kerma estimate. A maximum deviation of 60% can be obtained if TLDs are calibrated for 137Cs radiation source and used in diagnostic radiology fields. However, this deviation became less than 20% if TLDs chips are calibrated for the reference x-ray radiation quality RQR5 (recommended by the IEC 61267 standard). Consequently, we recommend calibrating this kind of TLDdetector with RQR5 diagnostic radiology X-ray quality. This method permits to obtain a good accuracy when assessing the entrance dose in diagnostic radiology procedures.

scholarly journals Low-energy response of superconducting tunnel junction X-ray spectrometers

1995 ◽  
Vol 5 (2) ◽  
pp. 3034-3037 ◽  
Author(s):  
S.E. Labov ◽  
L.H. Hiller ◽  
C.A. Mears ◽  
M. Frank ◽  
H. Netel ◽  
...  
Keyword(s):  
Tunnel Junction ◽  
Low Energy ◽  
Superconducting Tunnel Junction ◽  
Energy Response ◽  
X Ray

scholarly journals A Low Energy Gas Scintillation Proportional Counter for the SAX-X-Ray Astronomy Satellite

1990 ◽  
Vol 123 ◽  
pp. 457-461
Author(s):  
A.N. Parmar ◽  
A. Smith ◽  
M. Bavdaz
Keyword(s):  
Proportional Counter ◽  
Space Science ◽  
Low Energy ◽  
X Rays ◽  
Science Department ◽  
Energy Response ◽  
X Ray ◽  
Thin Plastic

AbstractThe payload of the italian/Dutch satellite SAX will include a set of four concentrators each with a geometric area of 90 cm2. Imaging GSPCs will be located at the focal planes of the concetrators. The Space Science Department of ESA will provide one of these GSPCs which will be sensitive to X-rays with energies between 0.1-10 keV. In order to achieve such a low-energy energy response, a driftless configuration and a thin plastic window have been adopted. At 6 keV the collecting area will be 50 cm2 and the energy and angular resolutions 8% and 1.6′ FWHM, respectively.

scholarly journals The SHEAL Diffuse X-ray Spectrometer Experiment

1990 ◽  
Vol 115 ◽  
pp. 376-379
Author(s):  
W. T. Sanders ◽  
S. L. Snowden ◽  
R. J. Edgar
Keyword(s):  
Energy Resolution ◽  
Low Energy ◽  
X Ray ◽  
X Ray Background ◽  
Better Than

AbstractThe Diffuse X-ray Spectrometer (DXS) experiment is part of NASA’s SHEAL 2 mission, scheduled to be flown as an attached Shuttle payload in 1992. The DXS is designed to measure the spectrum of the low energy (0.15 to 0.28 keV) diffuse x-ray background with energy resolution better than 0.01 keV. This paper describes the DXS experiment and presents the results of calculations of the anticipated data.

scholarly journals COMPARISON BETWEEN DIFFERENT METHODS FOR IDENTIFYING LESION IN PULMONARY X-RAY IMAGES

2021 ◽  
Vol 03 (03) ◽  
pp. 77-86
Author(s):  
Rana M. HASAN ◽  
Ielaf O. Abdul MAJJED
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Good Accuracy ◽  
Support Vector ◽  
X Ray ◽  
Learning Techniques ◽  
Image Retrieval System ◽  
Class Labels ◽  
Fully Connected ◽  
Better Than

The image retrieval system is one of the most prevalent and challenging systems of deep learning. To perform image retrieval for lung disease radiography systems, three methods were used: Firstly, we built a convolution neural network from scratch to extract and classify features by using six convolution layers and two fully connected layers. Secondly, it trained the feature patterns and classified categories by transfer learning techniques (Resnet_50). Thirdly, by training feature patterns by (inception V3) and classifying them by Support Vector Machine (SVM). After the system retrieval set of images depending on the class labels, these methods were compared to find the most accurate and fastest method among them. The concluded from the results of our proposed system that the accuracy of CNN from scratch was better than the learning methods (96.2%), but Resnet-50 was faster than the other methods and had good accuracy (94.81%).

Low energy response of a prototype detector array for the PoGO astronomical hard x-ray polarimeter

2005 ◽  
Author(s):  
J. Kataoka ◽  
Y. Kanai ◽  
M. Arimoto ◽  
T. Ikagawa ◽  
T. Saito ◽  
...  
Keyword(s):  
Low Energy ◽  
Detector Array ◽  
Energy Response ◽  
X Ray ◽  
Prototype Detector

F23 Optimization of the peak-to-background ratio and the low energy response of silicon drift detectors for high resolution X-ray spectroscopy

2006 ◽  
Vol 21 (2) ◽  
pp. 182-182
Author(s):  
A. Niculae ◽  
H. Soltau ◽  
P. Lechner ◽  
A. Liebl ◽  
R. Eckhard ◽  
...  
Keyword(s):  
High Resolution ◽  
Low Energy ◽  
Energy Response ◽  
X Ray ◽  
Background Ratio ◽  
Silicon Drift Detectors

scholarly journals Optimization of the Peak-to-Background Ratio and the Low Energy Response of Silicon Drift Detectors for High Resolution X-ray Spectroscopy

2006 ◽  
Vol 12 (S02) ◽  
pp. 862-863
Author(s):  
A Niculae ◽  
H Soltau ◽  
P Lechner ◽  
A Liebl ◽  
G Lutz ◽  
...  
Keyword(s):  
High Resolution ◽  
Low Energy ◽  
Energy Response ◽  
X Ray ◽  
Background Ratio ◽  
Silicon Drift Detectors

Extended abstract of a paper presented at Microscopy and Microanalysis 2006 in Chicago, Illinois, USA, July 30 – August 3, 2006

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