Computational Magnetic Resonance Imaging 2022/2023 /KursID:3299
- Letzter Beitrag vom 2023-01-24
Schlüsselworte: Medical Imaging, MRI, Inverse Problems, Numerical Optimization, Machine Learning, Deep Learning
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1
Lecture 1: Fundamentals of Magnetic Resonance Imaging
Prof. Dr. Florian Knoll
2022-10-25
Frei
01:29:12
Folien
Audio
captions
2
Lecture 2: Fourier Image Reconstruction Basics
Prof. Dr. Florian Knoll
2022-11-08
Frei
01:26:46
Folien
Audio
captions
3
Lecture 3: Partial Fourier Imaging
Prof. Dr. Florian Knoll
2022-11-15
Frei
01:15:21
Folien
Audio
captions
4
Lecture 4: Reconstruction of Non-Cartesian MRI data
Prof. Dr. Florian Knoll
2022-11-22
Frei
01:30:38
Folien
Audio
captions
5
Lecture 5: Parallel Imaging I: Image-domain methods
Prof. Dr. Florian Knoll
2022-11-29
Frei
01:20:17
Folien
Audio
captions
6
Lecture 6: Parallel Imaging II: k-space methods
Prof. Dr. Florian Knoll
2022-12-06
Frei
01:36:40
Folien
Audio
captions
7
Lecture 7: Parallel Imaging III: Non-Cartesian Imaging and Iterative Reconstruction
Prof. Dr. Florian Knoll
2022-12-13
Frei
01:35:58
Folien
Audio
captions
8
Lecture 8: Compressed Sensing
Prof. Dr. Florian Knoll
2022-12-20
Frei
01:39:37
Folien
Audio
captions
9
Lecture 9: Machine learning in MRI and neural network architecture design
Prof. Dr. Florian Knoll
2023-01-17
Frei
01:18:15
Folien
Audio
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10
Lecture 10: Machine learning for MR image reconstruction
Prof. Dr. Florian Knoll
2023-01-24
Frei
01:35:05
Folien
Audio
captions
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