公开(公告)号：US20210401392A1

公开(公告)日：2021-12-30

申请号：US17473495

申请日：2021-09-13

Applicant: GENENTECH, INC.

Inventor： Nils Gustav Thomas BENGTSSON ,  Richard Alan Duray CARANO ,  Alexander James DE CRESPIGNY ,  Jill O. FREDRICKSON ,  Mohamed Skander JEMAA

IPC: A61B6/00 ,  G06T7/174 ,  G06T7/11 ,  G16H30/20 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G16H10/20 ,  G16H50/50 ,  G06N3/02

Abstract: The present disclosure relates to techniques for segmenting tumors with positron emission tomography (PET) using deep convolutional neural networks for image and lesion metabolism analysis. Particularly, aspects of the present disclosure are directed to obtaining a PET scans and computerized tomography (CT) or magnetic resonance imaging (MRI) scans for a subject, preprocessing the PET scans and the CT or MRI scans to generate standardized images, generating two-dimensional segmentation masks, using two-dimensional segmentation models implemented as part of a convolutional neural network architecture that takes as input the standardized images, generating three-dimensional segmentation masks, using three-dimensional segmentation models implemented as part of the convolutional neural network architecture that takes as input patches of image data associated with segments from the two-dimensional segmentation mask, and generating a final imaged mask by combining information from the two-dimensional segmentation masks and the three-dimensional segmentation masks.