US 11,810,276 B2
Systems and methods for adaptive blending in computed tomography imaging
Brian Edward Nett, Wauwatosa, WI (US); Jed Douglas Pack, Glenville, NY (US); Zhye Yin, Niskayuna, NY (US); and Jie Tang, Merion Station, PA (US)
Assigned to GE PRECISION HEALTHCARE LLC, Milwaukee, WI (US)
Filed by GE Precision Healthcare LLC, Milwaukee, WI (US)
Filed on Mar. 3, 2020, as Appl. No. 16/807,586.
Prior Publication US 2021/0279847 A1, Sep. 9, 2021
Int. Cl. G06T 5/50 (2006.01); G06T 11/00 (2006.01); G06T 5/20 (2006.01); G01N 23/046 (2018.01); A61B 6/00 (2006.01); A61B 6/02 (2006.01); G06T 5/00 (2006.01); A61B 6/03 (2006.01)
CPC G06T 5/50 (2013.01) [A61B 6/027 (2013.01); A61B 6/5229 (2013.01); A61B 6/5258 (2013.01); G01N 23/046 (2013.01); G06T 5/002 (2013.01); G06T 5/20 (2013.01); G06T 11/006 (2013.01); G06T 11/008 (2013.01); A61B 6/032 (2013.01); G01N 2223/401 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30004 (2013.01); G06T 2210/41 (2013.01); G06T 2211/421 (2013.01); G06T 2211/424 (2013.01)] 12 Claims
OG exemplary drawing
 
1. A method, comprising:
calculating noise-neutral blending weights for at least two input image volumes with different spatially-variant noise characteristics; and
adaptively blending the at least two input image volumes according to the noise-neutral blending weights to generate an output image volume with uniform noise throughout the output image volume.