US 12,205,199 B2
Information processing method, medical image diagnostic apparatus, and information processing system
Masakazu Matsuura, Nasushiobara (JP); Yujie Lu, Vernon Hills, IL (US); Jian Zhou, Vernon Hills, IL (US); Zhou Yu, Vernon Hills, IL (US); Liang Cai, Vernon Hills, IL (US); and Ting Xia, Vernon Hills, IL (US)
Assigned to CANON MEDICAL SYSTEMS CORPORATION, Otawara (JP)
Filed by CANON MEDICAL SYSTEMS CORPORATION, Otawara (JP)
Filed on Jan. 18, 2022, as Appl. No. 17/577,689.
Application 17/577,689 is a continuation in part of application No. 16/941,760, filed on Jul. 29, 2020, granted, now 11,672,498.
Prior Publication US 2022/0139006 A1, May 5, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 11/00 (2006.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01); A61B 6/58 (2024.01)
CPC G06T 11/008 (2013.01) [A61B 6/032 (2013.01); A61B 6/5258 (2013.01); A61B 6/583 (2013.01); G06T 11/005 (2013.01); G06T 2210/41 (2013.01)] 15 Claims
OG exemplary drawing
 
1. An information processing method of processing information acquired by imaging performed by a medical image diagnostic apparatus, the information processing method comprising the steps of:
acquiring noise data by imaging a phantom using a medical imaging apparatus, wherein the noise data is extracted based on a first reconstructed image and a second reconstructed image acquired by respectively reconstructing first and second image data sets of the phantom taken at different times;
based on first subject projection data acquired by imaging performed by a medical image diagnostic modality of a same kind as the medical image diagnostic apparatus and the noise data, acquiring synthesized subject data in which noise based on the noise data is added to the first subject projection data; and
acquiring a noise reduction processing model by machine learning using the synthesized subject data and second subject projection data acquired by the imaging performed by the medical image diagnostic modality.