Method for Acquiring a Two-Dimensional Magnetic Resonance Image of a Slice Through a Region of Interest
US-2024362789-A1 · Oct 31, 2024 · US
US9558570B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9558570-B2 |
| Application number | US-201414784714-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 16, 2014 |
| Priority date | Apr 16, 2013 |
| Publication date | Jan 31, 2017 |
| Grant date | Jan 31, 2017 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Disclosed is a method for performing X-ray Computed Tomography scanning, the method including acquiring a plurality of images of an object, obtaining an initial image from the plurality of images, calculating NonLocal weight of the initial image, utilizing a current image estimation and registered prior image, performing a successive over-relaxation optimization to yield a new image estimation with an intensity of the new image estimation equal or greater than zero, performing a cycle update, generating an image of the object utilizing the new image estimation obtained from the optimization, and outputting a resultant image.
Opening claim text (preview).
What is claimed is: 1. A method for operating an X-ray Computed Tomography (CT) scanning device, the method comprising: acquiring, by the CT scanning device, a plurality of images of an object; obtaining an initial image from the plurality of images; performing a calculation of NonLocal (NL) weight utilizing a current image estimation and a registered prior image; performing a Successive Over-Relaxation (SOR) optimization to yield a new image estimation, with an intensity of the new image estimation being equal or greater than zero; performing a cycle update that repeats the obtaining of the initial image, the performing of the NL weight calculation, and the SOR optimization; generating an image of the object utilizing the new image estimation obtained from the SOR optimization; and outputting a resultant image when a stop criterion is met. 2. The method of claim 1 , further comprising performing a prior-image induced NL regularization utilizing a potential function of: R PINL ( μ ) = ∑ j ∑ k ∈ N j w ( k , j ) ( μ j - μ prior , k reg ) 2 , where μ prior reg denotes the registered prior image between a prior image μ prior and a current image, and N j denotes a search-window. 3. The method of claim 1 , wherein the SOR optimization yields a new image estimation according to: μ ~ j m + 1 = H j T Σ - 1 r m + S j μ j m + β ∑ k ∈ N j w ( k , j ) μ prior , k reg S j + β ∑ k ∈ N j w ( k , j ) , μ j m + 1 = max { 0 ,
Inverse problem, i.e. transformations from projection space into object space · CPC title
involving detection or reduction of artifacts or noise · CPC title
Iterative · CPC title
using calibration phantoms · CPC title
Physics · mapped topic
Related publications grouped by family.
Answers are generated from the same data shown on this page.