Invention Grant
- Patent Title: sCT image generation using CycleGAN with deformable layers
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Application No.: US17594438Application Date: 2019-06-27
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Publication No.: US12165287B2Publication Date: 2024-12-10
- Inventor: Jiaofeng Xu
- Applicant: Elekta, Inc.
- Applicant Address: US GA Atlanta
- Assignee: Elekta, Inc.
- Current Assignee: Elekta, Inc.
- Current Assignee Address: US GA Atlanta
- Agency: Schwegman Lundberg & Woessner, P.A.
- International Application: PCT/US2019/039538 WO 20190627
- International Announcement: WO2020/246996 WO 20201210
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T5/50 ; G06T5/70 ; G06V10/764 ; G06V10/774 ; G06V10/776 ; G06V10/82

Abstract:
Techniques for generating a synthetic computed tomography (sCT) image from a cone-beam computed tomography (CBCT) image are provided. The techniques include receiving a CBCT image of a subject; generating, using a generative model, a sCT image corresponding to the CBCT image, the generative model trained based on one or more deformable offset layers in a generative adversarial network (GAN) to process the CBCT image as an input and provide the sCT image as an output; and generating a display of the sCT image for medical analysis of the subject.
Public/Granted literature
- US20220318956A1 SCT IMAGE GENERATION USING CYCLEGAN WITH DEFORMABLE LAYERS Public/Granted day:2022-10-06
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