Application of Image Reconstruction Technique for the Measurement of Two-Dimensional Ion Energy Distributions Using a Retarding-Field Energy Analyzer

1996 ◽  
Vol 35 (Part 2, No. 9B) ◽  
pp. L1219-L1221
Author(s):  
Fumiyoshi Tochikubo ◽  
Kenkoh Suemasa ◽  
Tsuneo Watanabe
Keyword(s):  
Image Reconstruction ◽  
Field Energy ◽  
Reconstruction Technique ◽  
Two Dimensional ◽  
Energy Analyzer ◽  
Energy Distributions ◽  
Ion Energy ◽  
Image Reconstruction Technique ◽  
Ion Energy Distributions

PEMBELAJARAN SIMULASI PENCITRAAN CT DENGAN MENGGUNAKAN PRINSIP REKONSTRUKSI CITRA DALAM SOFTWARE MATLAB

2015 ◽  
Vol 8 (3) ◽  
pp. 161
Author(s):  
Samuel Gideon
Keyword(s):  
Image Reconstruction ◽  
Ct Imaging ◽  
The Body ◽  
Reconstruction Technique ◽  
Imaging Features ◽  
Back Projection ◽  
Cross Sectional ◽  
Low Contrast ◽  
Image Reconstruction Technique ◽  
Imaging Algorithms

This research was conducted as a learning alternatives for study of CT (computed tomograpghy) imaging using image reconstruction technique which are inversion matrix, back projection and filtered back projection. CT imaging can produce images of objects that do not overlap. Objects more easily distinguishable although given the relatively low contrast. The image is generated on CT imaging is the result of reconstruction of the original object. Matlab allows us to create and write imaging algorithms easily, easy to undersand and gives applied and exciting other imaging features. In this study, an example cross-sectional image recon-struction performed on the body of prostate tumors using. With these methods, medical prac-titioner (such as oncology clinician, radiographer and medical physicist) allows to simulate the reconstruction of CT images which almost resembles the actual CT visualization techniques.Keywords : computed tomography (CT), image reconstruction, Matlab

Multispectral Bayesian reconstruction technique for real-time two color fluorescence microscopy

RSC Advances ◽  
2015 ◽  
Vol 5 (17) ◽  
pp. 13175-13183 ◽  
Author(s):  
Shilpa Dilipkumar ◽  
Ravi Manjithaya ◽  
Partha Pratim Mondal
Keyword(s):  
Image Reconstruction ◽  
Fluorescence Microscopy ◽  
Real Time ◽  
Spectral Imaging ◽  
Reconstruction Technique ◽  
Imaging Method ◽  
Combined Approach ◽  
Bayesian Reconstruction ◽  
Image Reconstruction Technique ◽  
Bayesian Image Reconstruction

We have developed a real-time imaging method for two-color widefield fluorescence microscopy using a combined approach that integrates multi-spectral imaging and Bayesian image reconstruction technique.

Ion energy distributions in rf sheaths; review, analysis and simulation

1999 ◽  
Vol 8 (3) ◽  
pp. R45-R64 ◽  
Author(s):  
E Kawamura ◽  
V Vahedi ◽  
M A Lieberman ◽  
C K Birdsall
Keyword(s):  
Energy Distributions ◽  
Ion Energy ◽  
Review Analysis ◽  
Ion Energy Distributions
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