Computed Radiography-A Low Dose X-Ray Imaging System

1979 ◽  
Author(s):  
L. K. Wagner ◽  
G. Cohen ◽  
S. R. Amtey ◽  
F. A. DiBianca ◽  
R. G. Lester
2018 ◽  
Vol 34 (S1) ◽  
pp. 17-18
Author(s):  
Martina Andellini ◽  
Francesco Faggiano ◽  
Roxana di Mauro ◽  
Pietro Derrico ◽  
Matteo Ritrovato

Introduction:Patients with adolescent idiopathic scoliosis frequently receive X-ray imaging at diagnosis and subsequent follow monitoring. To achieve the ALARA concept of radiation dose, a biplanar low-dose X-ray system (BLDS) has been proposed. The aim of the study is to gather evidence on safety, accuracy and overall effectiveness of a BLDS compared with CT scanning, in a pediatric population, in order to support the final decision on possible acquisition of such innovative diagnostic system.Methods:The new method Decision-oriented HTA (DoHTA) was applied to carefully assess the diagnostic technology. It was developed starting from the EUnetHTA Core Model® integrated with the analytic hierarchy process in order to identify all the relevant assessment aspects of the technology involved, identified from scientific literature, experts’ judgments and specific context analysis of Bambino Gesù Children's Hospital. A weight was associated to each assessment element and the alternatives’ ranking was defined.Results:This innovative system provides orthopedic images in standing or sitting position, being able to examine the spine and lower limbs under normal weight-bearing conditions. This system is recommended for particular clinical indications as scoliosis and other congenital deformities of the spine. It is able to acquire simultaneous posteroanterior and lateral images in a single scan without vertical distortion and with lower radiation exposure than CT scanning. 2D images acquired can be combined to obtain a 3D reconstruction scanning based on a semi-automated statistical model.Conclusions:The major advantages of BLDS are the relatively low dose of radiation and the possibility of obtaining a 3D reconstruction of the bones. Our preliminary results show that data on the clinical effectiveness are limited but the technical advancements of BLDS appear promising in terms of patient management and patient health outcomes associated with its use.


Diagnostics ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1699
Author(s):  
Ahmed Jibril Abdi ◽  
Bo R. Mussmann ◽  
Alistair Mackenzie ◽  
Oke Gerke ◽  
Benedikte Klaerke ◽  
...  

The aim of this study was to determine the quantitative image quality metrics of the low-dose 2D/3D EOS slot scanner X-ray imaging system (LDSS) compared with conventional digital radiography (DR) X-ray imaging systems. The effective detective quantum efficiency (eDQE) and effective noise quantum equivalent (eNEQ) were measured using chest and knee protocols. Methods: A Nationwide Evaluation of X-ray Trends (NEXT) of a chest adult phantom and a PolyMethylmethacrylate (PMMA) phantom were used for the chest and knee protocols, respectively. Quantitative image quality metrics, including effective normalised noise power spectrum (eNNPS), effective modulation transfer function (eMTF), eDQE and eNEQ of the LDSS and DR imaging systems were assessed and compared. Results: In the chest acquisition, the LDSS imaging system achieved significantly higher eNEQ and eDQE than the DR imaging systems at lower and higher spatial frequencies (0.001 > p ≤ 0.044). For the knee acquisition, the LDSS imaging system also achieved significantly higher eNEQ and eDQE than the DR imaging systems at lower and higher spatial frequencies (0.001 > p ≤ 0.002). However, there was no significant difference in eNEQ and eDQE between DR systems 1 and 2 at lower and higher spatial frequencies (0.10 < p < 1.00) for either chest or knee protocols. Conclusion: The LDSS imaging system performed well compared to the DR systems. Thus, we have demonstrated that the LDSS imaging system has the potential to be used for clinical diagnostic purposes.


2005 ◽  
Vol 1281 ◽  
pp. 1256-1261 ◽  
Author(s):  
Muralidhar Mupparapu ◽  
Rameshwar N. Bhargava ◽  
Satish Mullick ◽  
Steven R. Singer ◽  
Nikhil Taskar ◽  
...  

Author(s):  
M. Lundqvist ◽  
B. Cederstrom ◽  
V. Chmill ◽  
M. Danielsson ◽  
B. Hasegawa

Author(s):  
Ho-Il Lee ◽  
Seok-Hwan Bae ◽  
Yeun-Chul Ryu ◽  
Young-Joon Park ◽  
Yong-Gwon Kim

2017 ◽  
Vol 08 (04) ◽  
Author(s):  
Simona Bistazzoni ◽  
Michelangelo De Angelis ◽  
Manuela D ercole ◽  
Carmela Chiaramonte ◽  
Antonio Carotenuto ◽  
...  

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