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System for reconstruction of virtual frequency selective inversion MR images

US9256977B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9256977-B2
Application numberUS-201213678594-A
CountryUS
Kind codeB2
Filing dateNov 16, 2012
Priority dateFeb 1, 2012
Publication dateFeb 9, 2016
Grant dateFeb 9, 2016

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A virtual frequency selective inversion (VFSI) method receives at least one MR image representative dataset and an associated phase reference dataset, and classifies anatomical material into a first component representing anatomical material having a first range of resonance frequencies associated with a first range of phase differences between the MR image representative dataset and the associated phase reference image dataset, and a second component representing anatomical material having a second range of resonance frequencies associated with a second range of phase differences between the MR image representative dataset and the associated phase reference image dataset. The method assigns different visual attributes to first and second components derived using phase differences between the MR image representative dataset and the reference image dataset and displays an image.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for processing MRI data employing virtual frequency selective inversion, comprising the steps of: receiving at least one MR image representative dataset and an associated phase reference dataset; deriving from the at least one MR image representative dataset and the associated phase reference dataset, a first component representing anatomical material having a first range of resonance frequencies associated with a first range of phase differences…

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What does patent US9256977B2 cover?
A virtual frequency selective inversion (VFSI) method receives at least one MR image representative dataset and an associated phase reference dataset, and classifies anatomical material into a first component representing anatomical material having a first range of resonance frequencies associated with a first range of phase differences between the MR image representative dataset and the associ…
Who is the assignee on this patent?
Rehwald Wolfgang G, Jenista Elizabeth R, Kim Raymond J, and 4 more
What technology area does this patent fall under?
Primary CPC classification G01R33/4828. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 09 2016 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 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).