SYSTEM FOR UNCOLLIMATED DIGITAL RADIOGRAPHY

Patent №

US 9,105,087

Granted

2015-08-11

Filed 2013

Owner

LAWRENCE LIVERMORE NATIONAL SECURITY, LLC

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13945351

The inversion algorithm based on the maximum entropy method (MEM) removes unwanted effects in high energy imaging resulting from an uncollimated source interacting with a finitely thick scintillator. The algorithm takes as 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). 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. 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 is applicable in radiographic applications including fast neutron, high-energy gamma and x-ray radiography using thick scintillators.

VisionG06T 5/73G01T 1/2006G06T 2207/10116G06T 2207/20076G06T 2207/30164

AI classification

Vision1.00
Machine learning0.13
AI hardware0.11
Speech0.00
Natural language0.00
Evolutionary computation0.00
Planning0.00
Knowledge representation0.00

Ownership

LAWRENCE LIVERMORE NATIONAL SECURITY, LLC

assignment · 310420844

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