IMPROVING MATERIAL IDENTIFICATION USING MULTI-ENERGY CT IMAGE DATA

Patent №

US 10,685,437

Granted

2020-06-16

Filed 2017

Owner

MARS BIOIMAGING LIMITED

Lab

AI components

2

vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15567623

Disclosed are methods for identification and quantification of a number of different materials within an object using one or more multi-energy CT imaging devices and the image data sets produced therefrom. Identification and quantification of different materials is achieved by using the following three properties: solve only for sparse solutions; separate the soft tissue problem from the dense material problem; and use a combinatorial approach to allow for simple application of different constraints to different combinations of materials. Also disclosed are one or more computer program products, computer systems or computer implemented methods for the identification of multiple materials within an object.

VisionAI hardwareG06T 7/0012A61B 6/032A61B 6/482A61B 6/505G01N 23/046G06F 18/24G06T 5/20G06T 5/70+6 more

AI classification

Vision1.00
AI hardware0.89
Planning0.15
Machine learning0.04
Natural language0.01
Knowledge representation0.00
Evolutionary computation0.00
Speech0.00

Ownership

MARS BIOIMAGING LIMITED

assignment · 442290667

Assignors

BUTLER, ANTHONY PHILIP HOWARD, BATEMAN, CHRISTOPHER JAMES, BUTLER, PHILIP HOWARD, RENAUD, PETER FRANCIS

On an employer assignment, the assignors are typically the inventors.

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