Deep Learning Innovations in MRI Reconstruction and Analysis

Deep Learning Innovations in MRI Reconstruction and Analysis portes grátis

Deep Learning Innovations in MRI Reconstruction and Analysis

Enhancing Image Quality for Robust Image Processing and Clinical Decision Making

Chatterjee, Soumick

Springer Fachmedien Wiesbaden

03/2026

342

Mole

Inglês

9783658507404

Pré-lançamento - envio 15 a 20 dias após a sua edição

Descrição não disponível.
1. Introduction.- I Fundamentals.- 2. Magnetic Resonance Imaging.- 3. Image Processing.- 4. Neural Networks.- II Current Techniques.- 5. Undersampled MRI Reconstruction.- 6.Motion Correction.- 7. Automatic MR Image Processing Pipelines.- III Advancing the Field of Undersampled Reconstruction.- 8. Artefact Reduction in the Image Space.- 9. Undersampled Reconstruction as Super Resolution.- 10. Working in the Hybrid Space.- IV Undersampled Reconstruction as a Generalised Component of an MRI Processing Pipeline.- 11. Spatiospatial Models: Brain Tumour Classification.- 12. GP-models: Brain Tumour Classification.- 13. StRegA: Anomaly Detection.- 14. DS6: Vessel Segmentation.- 15. MICDIR: Image Registration.- V.Tackling the Motion.- 16. Retrospective Motion Correction.- VI Conclusion and Outlook.- 17. Concluding Remarks.- 18. Directions for Future Research.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Motion;Reconstruction;Supervised Learning;Weakly-supervised Learning;Deep Learning;Cartesian MRI;Radial MRI;Artefacts;Classification;Anomaly Detection;Unsupervised Learning;MRI;Segmentation