The purpose of this study is to evaluate our recently developed MRI reconstruction strategy for producing artifact-free neuro and abdominal MRI data. The new reconstruction strategies, including 1) REKAM and 2) MUSE, are capable of effectively removing motion-related artifacts resulting from global and local motion during neuro and free-breathing abdominal MRI scans, without modifying the MRI pulse sequences and protocols that are currently used in clinical scans. The study team aims to recruit 60 subjects across multiple challenge patient populations: 10 healthy young adults (age 20-30) and 10 healthy older adults (aged 50-70) for abdominal MRI, as well as 20 tremor dominant PD patients and 20 children (age 4-8) for brain MRI scans. There are no known risks in taking MRIs and a unique code will be assigned to each participant to protect their PHI.
Study Type
OBSERVATIONAL
Enrollment
16
It is an algorithm for MRI post-processing/image reconstruction (see reference: Chen).
Duke University Medical Center
Durham, North Carolina, United States
Rating of image quality (based on 8 criteria) by multiple radiologists (blind to reconstruction method)
The ratings will be compared to compare the quality of images processed with MUSE versus conventional reconstruction methods
Time frame: 1 day (At time of image analysis)
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