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Resolution Enhancement for Compressed Sensing at 1.5T MRI through Deep Learning: Application to Quantitative Volume Measurement of Human Brain Structures

2023-07-10

Abstract excerpt

<h4>Background: </h4> Compressed sensing (CS) is available for clinical 1.5T scanners with limited reduction factor due to a small channel of receiver coil. Typically, low-resolution (LR) with CS is able to further reduce scan time. However, LR images may be insufficient for clinical diagnosis. Recently, Deep Learning (DL) approaches have demonstrated the ability to generate high-resolution (HR) MR images from LR...

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Literature Corpus work
35805922-1de8-5e6b-b8db-9af0086a3aeb
DOI
10.21203/rs.3.rs-3118487/v1
Open publication

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Resolution Enhancement for Compressed Sensing at 1.5T MRI through Deep Learning: Application to Quantitative Volume Measurement of Human Brain StructuresDOI 10.21203/rs.3.rs-3118487/v1
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