Synthesizing Complex-Valued Multicoil MRI Data from Magnitude-Only Images.

ABSTRACT: Despite the proliferation of deep learning techniques for accelerated MRI acquisition and enhanced image reconstruction, the construction of large and diverse MRI datasets continues to pose a barrier to effective clinical translation of these technologies. One major challenge is in collecting the MRI raw data (required for image reconstruction) from clinical scanning, as only magnitude images are typically saved and used for clinical assessment and diagnosis. The image phase and multi-channel RF coil information are not retained when magnitude-only images are saved in clinical imaging archives. Additionally, preprocessing used for data in clinical imaging can lead to biased results. While several groups have begun concerted efforts to collect large amounts of MRI raw data, current database

SUBMITTER: Deveshwar N 

PROVIDER: S-EPMC10045391 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature