High-dimensional MR spectroscopic imaging integrating physics-based modeling and machine learning

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Bioengineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2023

Author dc:creator

• Li, Yahang

Contributors dc:contributor

• Lam, Fan
• Sutton, Brad
• Anastasio, Mark
• Insana, Michael

• Mr Spectroscopic Imaging
• Spectroscopy
• Low-dimensional Models
• Neural Network
• Manifold Learning
• Spatiospectral Constraint
• Complex Convolutional Neural Network
• Deep Autoencoder
• Deep Learning
• Denoising
• Low-dimensional Modeling
• Multi-te 1h-mrsi
• Regularized Reconstruction
• Short Te 1h-mrsi
• Signal Separation
• Learning Low-dimensional Manifold Projection.

Statement dc:rights

• Copyright 2023 Yahang Li

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/122092

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/122092