Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31904
Title: Digital Molecular Magnetic Resonance Imaging
Authors: Awojoyogbe, Bamidele
Dada, Michael
Keywords: Magnetic Resonance Imaging (MRI)
Medical Imaging
Anatomical Visualization
Three-Dimensional (3D) Rendering
Physics-Informed Neural Networks (PINNs)
Computational Imaging
Digital Algorithms
Digital Health
Molecular MRI
Quantum Computing
Issue Date: 24-Aug-2024
Publisher: Springer Singapore
Citation: Awojoyogbe, B. O., & Dada, M. O. (2024). Digital Molecular Magnetic Resonance Imaging. Springer Science & Business Media (Series in BioEngineering)
Series/Report no.: Curriculum Vitae;58
Abstract: This book pushes the limits of conventional MRI visualization methods by completely changing the medical imaging landscape and leads to innovations that will help patients and healthcare providers alike. It enhances the capabilities of MRI anatomical visualization to a level that has never before been possible for researchers and clinicians. The computational and digital algorithms developed can enable a more thorough understanding of the intricate structures found within the human body, surpassing the constraints of traditional 2D methods. The Physics-informed Neural Networks as presented can enhance three-dimensional rendering for deeper understanding of the spatial relationships and subtle abnormalities of anatomical features and sets the stage for upcoming advancements that could impact a wider range of digital heath modalities. This book opens the door to ultra-powerful digital molecular MRI powered by quantum computing that can perform calculations that would take supercomputers millions of years.
Description: https://link.springer.com/book/10.1007/978-981-97-6370-2
URI: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31904
ISSN: 2196-8861
Appears in Collections:Physics

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