US 11,908,044 B2
Systems and methods for computed tomography image reconstruction
Guang-Hong Chen, Madison, WI (US); and Jiang Hsieh, Brookfield, WI (US)
Assigned to GE PRECISION HEALTHCARE LLC, Milwaukee, WI (US); and WISCONSIN ALUMNI RESEARCH FOUNDATION, Madison, WI (US)
Filed by GE Precision Healthcare LLC, Milwaukee, WI (US); and Wisconsin Alumni Research Foundation, Madison, WI (US)
Filed on Jun. 17, 2021, as Appl. No. 17/350,906.
Prior Publication US 2022/0405990 A1, Dec. 22, 2022
Int. Cl. G06T 11/00 (2006.01)
CPC G06T 11/005 (2013.01) [G06T 11/006 (2013.01); G06T 2211/412 (2013.01); G06T 2211/424 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
generating a first computed tomography (CT) image from projection data acquired at a first helical pitch;
using a trained multidimensional statistical regression model to generate a second CT image from the first CT image, the multidimensional statistical regression model trained with a plurality of target CT images reconstructed from projection data acquired at a second helical pitch, the second helical pitch less than the first helical pitch;
performing an iterative correction of the second CT image to generate a final CT image.