Invention Grant
- Patent Title: Super-resolution anatomical magnetic resonance imaging using deep learning for cerebral cortex segmentation
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Application No.: US16831061Application Date: 2020-03-26
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Publication No.: US11449989B2Publication Date: 2022-09-20
- Inventor: Qiyuan Tian , Susie Yi Huang , Berkin Bilgic , Jonathan R. Polimeni
- Applicant: THE GENERAL HOSPITAL CORPORATION
- Applicant Address: US MA Boston
- Assignee: THE GENERAL HOSPITAL CORPORATION
- Current Assignee: THE GENERAL HOSPITAL CORPORATION
- Current Assignee Address: US MA Boston
- Agency: Quarles & Brady LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T3/40 ; G01R33/56 ; G06T7/11
Abstract:
Super-resolution images are generated from standard-resolution images acquired with a magnetic resonance imaging (“MRI”) system. More particularly, super-resolution (e.g., sub-millimeter isotropic resolution) images are generated from standard-resolution images (e.g., images with 1 mm or coarser isotropic resolution) using a deep learning algorithm, from which accurate cortical surface reconstructions can be generated.
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