First Clinical Experience with a Digital Imaging Device for Radiotherapy Dosimetry and Localisation of Treatment Fields

Author(s):  
H. Leitner ◽  
J. W. Wong ◽  
K. Arian-Schad ◽  
R. Binns
2021 ◽  
Author(s):  
Pattarawadee Kheamphet ◽  
Prinya Masawat

This paper describes a smartphone-based digital imaging equipment for lead, cadmium, copper, and zinc determination in Thai rice that is both convenient and cost-effective. This smartphone-based digital imaging device has...


2019 ◽  
Vol 143 (10) ◽  
pp. 1234-1245 ◽  
Author(s):  
Laura Stephens ◽  
Nicholas J. Bevins ◽  
Hans-Inge Bengtsson ◽  
H. Elizabeth Broome

Context.— Stand-alone clinical sites (eg, infusion centers) are becoming increasingly common. These sites require timely hematology analysis. Here we compare performance and costs of currently available analysis configurations with special focus on a proposed alternative using a minimal hematology analyzer plus a digital imaging device, allowing for remote oversight and interpretation. Objectives.— To determine whether low-volume laboratories might realize savings while gaining function by substituting commonly used configurations with a proposed alternative. Design.— To evaluate the performance of the proposed alternative configuration, blood counts with automated differentials produced by a Sysmex XE5000 (complete blood count reference method) were compared with cell counts from the Sysmex pocH-100i, CellaVision DM96 preclassified differentials, and DM96 reclassified differentials (differential reference method) by using standard regression analyses, 95% CIs, and truth tables. Financial cost modeling used staffing practices, test volumes, and smear production rates observed at remote clinics performing on-site hematology analysis within the University of California at San Diego Health system. Results.— Differential blood count parameters showed excellent correlation between the XE5000 and preclassification DM96 with R2 > 0.95. For blasts/abnormal cells, immature granulocytes, and nucleated red blood cells, the DM96 showed higher sensitivity and similar specificity to the XE5000. Cost modeling revealed that decreased personnel costs through remote monitoring of results facilitated by the DM96 would lead to lower operational costs relative to more conventional analysis configurations. Conclusions.— A digital imaging instrument with an inexpensive hematology analyzer provides similar information to a complex hematology analyzer and allows remote review of the blood smear findings by experts, leading to significant cost savings.


2019 ◽  
Author(s):  
John C. Hermanson ◽  
David Dostal ◽  
Joseph C. Destree ◽  
Alex C. Wiedenhoeft

2013 ◽  
Vol 59 ◽  
pp. 44-49
Author(s):  
Seongtae Park ◽  
Youngja Ha ◽  
Chang Hie Hahn ◽  
Jaehoon Yu ◽  
Andrew P. White

2011 ◽  
Vol 189-193 ◽  
pp. 1641-1646
Author(s):  
Lei Yan ◽  
Shi Hu Zhao ◽  
Yi Ni Duan

Application of digital aerial camera was a milestone in the development of Photogrammetry and Remote Sensing. The new digital sensor leads to the changes of remote sensing imaging models. Generally, remote sensing imaging models have two kinds: geometric model and radiative model, in which radiative model mainly focus on the radiative quality of remote sensing images. In this paper, a new kind of airborne camera, namely Twice Imaging Digital Camera (TIDC), is introduced, which integrates the advantages of film airborne camera and digital one. It adopts twice imaging techniques to acquire large format, strict central projection images. The radiative transfer model of TIDC is built on the physical processing of digital imaging. The intermediate imaging device of TIDC influences digital images’ quality badly, such as luminous intensity distribution, decay and noise. For this reason, the approach of light tracing based on Monte Carlo is used to simulate radiative transfer in TIDC and test the performance of the intermediate imaging device. The importance of this work is: The Monte Carlo simulating experiment proposed by this paper can be widely applied in the simulation and modeling of other digital imaging systems, and has great practical value in the evaluation and optimization of image quality, the improvement of remote sending imaging system, as well as the estimate of image acquirement results.


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