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Benchmarking Deep Learning Approaches for Single-Excitation Wideband MRI: Establishing the First SE-Wideband Brain Dataset

2025-11-24

Abstract excerpt

<title>Abstract</title> <p>Single-Excitation Wideband MRI enables efficient acquisition, but its rapid-switching design to mitigate intrinsic blur leads to incompatibility with GRAPPA and other fast sequences, restricting its clinical adoption. Regarding this challenge, we established the first dedicated SE-Wideband brain dataset, comprising 76 subjects and 8000 paired slices, and developed a systematic framework...

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Literature Corpus work
c355fc8c-e484-5d1a-9e7b-0784c154acbf
DOI
10.21203/rs.3.rs-8024132/v1
Open publication

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Benchmarking Deep Learning Approaches for Single-Excitation Wideband MRI: Establishing the First SE-Wideband Brain DatasetDOI 10.21203/rs.3.rs-8024132/v1
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