System and method for wide cone helical image reconstruction using blending of two reconstructions

US8995735B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8995735-B2
Application numberUS-201213478335-A
CountryUS
Kind codeB2
Filing dateMay 23, 2012
Priority dateMay 23, 2012
Publication dateMar 31, 2015
Grant dateMar 31, 2015

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Abstract

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A tomographic system includes a gantry having an opening for receiving an object to be scanned, a radiation source, a detector positioned to receive radiation from the source that passes through the object, and a computer programmed to acquire a plurality of helical projection datasets of the object, reconstruct a first image using the acquired plurality of helical projection datasets and using a first reconstruction algorithm, reconstruct a second image using the acquired plurality of helical projection datasets and using a second reconstruction algorithm that is different from the first reconstruction algorithm, extract frequency components from each of the first and second images, sum the frequency components from each of the first and second images, and inverse transform the sum of the frequency components to generate a final image.

First claim

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What is claimed is: 1. A tomographic system comprising: a gantry having an opening for receiving an object to be scanned; a radiation source; a detector positioned to receive radiation from the source that passes through the object; and a computer programmed to: acquire a plurality of helical projection datasets of the object; reconstruct a first image using the acquired plurality of helical projection datasets and using a first reconstruction algorithm; reconstruct a s…

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What does patent US8995735B2 cover?
A tomographic system includes a gantry having an opening for receiving an object to be scanned, a radiation source, a detector positioned to receive radiation from the source that passes through the object, and a computer programmed to acquire a plurality of helical projection datasets of the object, reconstruct a first image using the acquired plurality of helical projection datasets and using…
Who is the assignee on this patent?
Cao Guangzhi, Hsieh Jiang, Nett Brian Edward, and 1 more
What technology area does this patent fall under?
Primary CPC classification G06T12/20. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Mar 31 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).