Back to search

Article

Lesion probability mapping in MS patients using a regression network on MR Fingerprinting

2021-03-22

Abstract excerpt

<title>Abstract</title> <p>Purpose To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to T 1 , T 2 * , NAWM, and GM- probability maps. Methods We performed MRF-EPI measurements in 42 patients with multiple sclerosis and 6 healthy volunteers along two sites. A U-net was trained to reconstru...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9e566e48-071c-5bf9-b01d-9aa9bf2d307f
DOI
10.21203/rs.3.rs-324286/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Lesion probability mapping in MS patients using a regression network on MR FingerprintingDOI 10.21203/rs.3.rs-324286/v1
Select a neighboring publication to make it the new centre.