Computational Molecular Magnetic Resonance Imaging for Neuro-oncology

Chapter 1. General Introduction.- Chapter 2. Fundamental Of Nmr.- Chapter 3. Computational Diffusion Magnetic Resonance Imaging.- Chapter 4. Radiofrequency Identification (Rfid) System For Computational Magnetic Resonance Imaging Of Blood Flow At Suction Points.- Chapter 5. A Computational Magnetic Resonance Imaging Based On Bloch Nmr Flow Equation, Mri Finger Printing, Python Deep Learning For The Classification Of Adult Brain Tumours.- Chapter 6. Analysis Of Hydrogen-Like Ions For Neurocomputing Based On Bloch Nmr Flow Equation.- Chapter 7. Quantum Mechanical Model Of Bloch Nmr Flow Equations For The Transport Analysis Of Quantm-Drugs In Microscopic Blood Vessels Applicable In Nanomedicine.- Chapter 8. Application Of "R" Machine Learning For Magnetic Resonance Relaxometry Data-Representation And Classification Of Human Brain Tumours.- Chapter 9. Advanced Magnetic Resonance Image Processing And Quantitative Analysis In Avizo For Demonstrating Radiomic Contrast Between Radiation Necrosis And Tumor Progression.- Chapter 10. Computational Analysis of Magnetic Resonance Imaging Contrast Agents and their Physico-Chemical Variables.- Chapter 11. General Conclusion

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• A física quântica (mecânica quântica e teoria quântica de campos)
• Matemática aplicada
• Oncologia
• Biofísica
• Neurologia e neurofisiologia clínica

Computational Magnetic Resonance Imaging;Neurocomputing;Neuro oncology;Bloch NMR flow equation;Machine Learning;Artificial Intelligence Oncology