Multiband rf/mri pulse design for multichannel transmitter
US-2015362574-A1 · Dec 17, 2015 · US
US10914798B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10914798-B2 |
| Application number | US-201314038958-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 27, 2013 |
| Priority date | Mar 30, 2012 |
| Publication date | Feb 9, 2021 |
| Grant date | Feb 9, 2021 |
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.
A method for estimating a coil sensitivity map for a magnetic resonance (MR) image includes providing a matrix A of sliding blocks of a 3D image of coil calibration data, calculating a left singular matrix V ∥ from a singular value decomposition of A corresponding to τ leading singular values, calculating P=V ∥ V ∥ H , calculating a matrix that is an inverse Fourier transform of a zero-padded matrix P, and solving M H c r =(S r ) H c r for c r , where c r is a vector of coil sensitivity maps for all coils at spatial location r, and M = ( ( 1 1 … 1 0 0 … 0 … … … 0 0 … 0 ) ( 0 0 … 0 1 1 … 1 … … … 0 0 … 0 ) … ( 0 0 … 0 0 0 … 0 … … … 1 1 … 1 ) ) .
Opening claim text (preview).
What is claimed is: 1. A method for reconstructing a magnetic resonance (MR) image m, comprising the steps of: acquiring coil calibration data from a magnetic resonance imaging apparatus; constructing a matrix A={a ij } of real numbers from 3D sliding blocks of a 3D c x ×c y ×c z image of said coil calibration data, wherein c x , c y , and c z are the x, y and z dimensions, respectively, of the coil calibration data, A has [(c x −k x +1)×(c y −k y +1)×(c z −k y +1)] columns and k x k y k z n c rows, wherein k x , k y , k z are the x, y, and z dimensions, respectively, of the sliding blocks, n c is a number of coils, i and j are row and column indices of elements a of matrix A, and a i,j is a k x k y k z ×1 column vector that represents a jth sliding block of an ith coil; calculating a left singular matrix V ∥ from a singular value decomposition of A, wherein V [ v 1 , v 2 , … , v τ ] = ( v 1 , 1 v 1 , 2 … v 1 , τ v 2 , 1 v 2 , 2 … v 2 , τ … … … v n c , 1 v n c , 2 … v n c , τ ) comprises left singular vectors of A corresponding to τ leading singular values wherein H denotes a complex-conjugate transpose, v i,k is a k x k y k z ×1 column vector obtained by concatenating columns that is an i-th block in vector v k wherein v k k=1, 2, . . . , τ, is a component of V ∥ ; calculating P = V V H = ( ( p 1 , 1 , 1 p 1 , 1 , 2 … p 1 , 1 , k x k y k z p
Spatial mapping of the RF magnetic field B1 · CPC title
Parallel magnetic resonance imaging, e.g. sensitivity encoding [SENSE], simultaneous acquisition of spatial harmonics [SMASH], unaliasing by Fourier encoding of the overlaps using the temporal dimension [UNFOLD], k-t-broad-use linear acquisition speed-up technique [k-t-BLAST], k-t-SENSE (structural details of arrays of sub-coils G01R33/3415) · CPC title
Spatial mapping of the polarizing magnetic field · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.