Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning
Magnetic resonance spectroscopic imaging (SI) is a unique imaging technique that provides biochemical information from in vivo tissues. The 1H spectra acquired from several spatial regions are quantified to yield metabolite concentrations reflective of tissue metabolism. However, since these metabol...
Main Authors: | Zohaib Iqbal, Dan Nguyen, Gilbert Hangel, Stanislav Motyka, Wolfgang Bogner, Steve Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-10-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2019.01010/full |
Similar Items
-
Metabolic Insights into Iron Deposition in Relapsing-Remitting Multiple Sclerosis via 7 T Magnetic Resonance Spectroscopic Imaging
by: Alexandra Lipka, et al.
Published: (2023-01-01) -
Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks
by: Juan Manuel Molina-Maza, et al.
Published: (2022-10-01) -
Improving Structural MRI Preprocessing with Hybrid Transformer GANs
by: Ovidijus Grigas, et al.
Published: (2023-09-01) -
A Comparison of 7 Tesla MR Spectroscopic Imaging and 3 Tesla MR Fingerprinting for Tumor Localization in Glioma Patients
by: Philipp Lazen, et al.
Published: (2024-02-01) -
Three-Dimensional Magnetic Resonance Spectroscopic Imaging of Brain and Prostate Cancer
by: John Kurhanewicz, et al.
Published: (2000-01-01)