公开(公告)号：US11769277B2

公开(公告)日：2023-09-26

申请号：US16650941

申请日：2018-09-28

申请人： KONINKLIJKE PHILIPS N.V.

发明人： Shiyu Xu ,  Peter Prinsen ,  Jens Wiegert ,  Ravindra Mohan Manjeshwar

IPC分类号： G06T11/00 ,  G06N3/08

CPC分类号： G06T11/005 ,  G06N3/08 ,  G06T2210/41

摘要： An imaging system includes a computed tomography (CT) imaging device (10) (optionally a spectral CT), an electronic processor (16, 50), and a non-transitory storage medium (18, 52) storing a neural network (40) trained on simulated imaging data (74) generated by Monte Carlo simulation (60) including simulation of at least one scattering mechanism (66) to convert CT imaging data to a scatter estimate in projection space or to convert an uncorrected reconstructed CT image to a scatter estimate in image space. The storage medium further stores instructions readable and executable by the electronic processor to reconstruct CT imaging data (12, 14) acquired by the CT imaging device to generate a scatter-corrected reconstructed CT image (42). This includes generating a scatter estimate (92, 112, 132, 162, 182) by applying the neural network to the acquired CT imaging data or to an uncorrected CT image (178) reconstructed from the acquired CT imaging data.

公开(公告)号：US12131410B2

公开(公告)日：2024-10-29

申请号：US17293958

申请日：2019-11-15

申请人： KONINKLIJKE PHILIPS N.V.

发明人： Andriy Andreyev ,  Xiyun Song ,  Ravindra Mohan Manjeshwar

IPC分类号： G06T11/00 ,  A61B6/03

CPC分类号： G06T11/008 ,  A61B6/037 ,  G06T11/006 ,  G06T2211/424

摘要： A non-transitory computer-readable medium stores instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform an imaging method (100). The method includes: receiving imaging data on a frame by frame basis for frames along an axial direction with neighboring frames overlapping along the axial direction wherein the frames include at least a volume (k) and a succeeding volume (k+1) at least partially overlapping the volume (k) along the axial direction; and generating an image of the volume (k) using an iterative image reconstruction process in which an iteration of the iterative image reconstruction process includes: computing a local penalty function for suppressing noise over the volume (k) including reducing the value of the local penalty function in an overlap region; generating an update image of the volume (k) using imaging data from the volume (k) and further using the local penalty function.