Meeting Banner
Abstract #4277

Unsupervised phase unwrapping for aortic 4D flow MRI using deep image prior

Yuyang Ren1, Haotian Hong1, Zijian Zhou1, and Peng Hu1,2
1School of Biomedical Engineering, ShanghaiTech University, Shanghai, China, 2Shanghai Clinical Research and Trial Center, ShanghaiTech University, Shanghai, China

Synopsis

Keywords: Analysis/Processing, Flow

Motivation: 4D flow MRI can acquire high flow velocity resolved images using low velocity encoding (venc) and phase unwrapping, conditioned on the unwrapping algorithm is reliable and robust.

Goal(s): Evaluating an unsupervised phase unwrapping method using deep image prior (PUDIP) in aortic 4D flow MRI.

Approach: Implementing the PUDIP method to aortic 4D flow MRI and comparing it with traditional phase unwrapping methods using retrospectively generated low-venc data base on high-venc data.

Results: PUDIP had the least error compared to other phase unwrapping methods in most cases.

Impact: PUDIP outperforms the conventional methods and can yield accurate flow velocity quantifications for 4D flow MRI.

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.

Click here for more information on becoming a member.

Keywords