公开(公告)号：US11576628B2

公开(公告)日：2023-02-14

申请号：US16959289

申请日：2018-12-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Sydney Kaplan ,  Yang-Ming Zhu ,  Andriy Andreyev ,  Chuanyong Bai ,  Steven Michael Cochoff

IPC: A61B6/03 ,  A61B6/00 ,  G06N3/04 ,  G06N3/08 ,  G06N3/084

Abstract: Emission imaging data are reconstructed to generate a low dose reconstructed image. Standardized uptake value (SUV) conversion (30) is applied to convert the low dose reconstructed image to a low dose SUV image. A neural network (46, 48) is applied to the low dose SUV image to generate an estimated full dose SUV image. Prior to applying the neural network the low dose reconstructed image or the low dose SUV image is filtered using a low pass filter (32). The neural network is trained on a set of training low dose SUV images and corresponding training full dose SUV images to transform the training low dose SUV images to match the corresponding training full dose SUV images, using a loss function having a mean square error loss component (34) and a loss component (36) that penalizes loss of image texture and/or a loss component (38) that promotes edge preservation.