Please use this identifier to cite or link to this item:
http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31904Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Awojoyogbe, Bamidele | - |
| dc.contributor.author | Dada, Michael | - |
| dc.date.accessioned | 2026-07-14T07:51:26Z | - |
| dc.date.available | 2026-07-14T07:51:26Z | - |
| dc.date.issued | 2024-08-24 | - |
| dc.identifier.citation | Awojoyogbe, B. O., & Dada, M. O. (2024). Digital Molecular Magnetic Resonance Imaging. Springer Science & Business Media (Series in BioEngineering) | en_US |
| dc.identifier.issn | 2196-8861 | - |
| dc.identifier.uri | http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31904 | - |
| dc.description | https://link.springer.com/book/10.1007/978-981-97-6370-2 | en_US |
| dc.description.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. | en_US |
| dc.description.sponsorship | None | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Singapore | en_US |
| dc.relation.ispartofseries | Curriculum Vitae;58 | - |
| dc.subject | Magnetic Resonance Imaging (MRI) | en_US |
| dc.subject | Medical Imaging | en_US |
| dc.subject | Anatomical Visualization | en_US |
| dc.subject | Three-Dimensional (3D) Rendering | en_US |
| dc.subject | Physics-Informed Neural Networks (PINNs) | en_US |
| dc.subject | Computational Imaging | en_US |
| dc.subject | Digital Algorithms | en_US |
| dc.subject | Digital Health | en_US |
| dc.subject | Molecular MRI | en_US |
| dc.subject | Quantum Computing | en_US |
| dc.title | Digital Molecular Magnetic Resonance Imaging | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | Physics | |
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