Keywords: Prenatal, Brain, Fetal; Brain; Super-resolution Reconstruction
Motivation: Super-resolution reconstruction of isotropic fetal brain MR images is critical for prenatal examinations, but is hindered by fetal motion and misalignment of thick-slice scans.
Goal(s): This study aims to quantify misalignment between slices and volumes while predicting isotropic high-resolution volumetric images.
Approach: Our approach learns an implicit function to quantify misalignment between MR slices and volumes by obtaining interpolation weights from latent codes of multi-view motion-corrupted thick-slice stacks. The established model then interpolates the isotropic high-resolution image by utilizing predicted weights.
Results: Our proposed method effectively mitigates the adverse effects of motion corruption in fetal brain MRI while substantially reducing reconstruction time.
Impact: Our end-to-end fetal brain super-resolution approach bypasses traditional two-step iterative optimization paradigm, and substantially reduces reconstruction time. It eliminates the need for slice-to-volume registration, and shifts the focus of implicit neural representation from addressing appearance estimation issues to motion estimation.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords