Chrome Extension
WeChat Mini Program
Use on ChatGLM

Reconstruction algorithm for point source neutron imaging through finite thickness scintillator

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment(2012)

Cited 5|Views6
No score
Abstract
A new inversion algorithm based on the maximum entropy method (MEM) is proposed to remove unwanted effects in fast neutron imaging which result from an uncollimated source interacting with a finitely thick scintillator. The algorithm takes as an input the image from the thick scintillator (TS) and the radiography setup geometry. The algorithm then outputs a restored image which appears as if taken with an infinitesimally thin scintillator (ITS). The inversion is accomplished by numerically generating a probabilistic model relating the ITS image to the TS image and then inverting this model on the TS image through MEM. Algorithm details as well as numerical results using MCNP simulated images are presented. This reconstruction technique can reduce the exposure time or the required source intensity without undesirable object blurring on the image by allowing the use of both thicker scintillators with higher efficiencies and closer source-to-detector distances to maximize incident radiation flux. The technique should also be applicable to high energy gamma or x-ray radiography using thick scintillators.
More
Translated text
Key words
Maximum entropy method,Support vector machines,Fast neutron radiography,MCNP,Cone beam effect
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined