Please use this identifier to cite or link to this item: http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31904
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dc.contributor.authorAwojoyogbe, Bamidele-
dc.contributor.authorDada, Michael-
dc.date.accessioned2026-07-14T07:51:26Z-
dc.date.available2026-07-14T07:51:26Z-
dc.date.issued2024-08-24-
dc.identifier.citationAwojoyogbe, B. O., & Dada, M. O. (2024). Digital Molecular Magnetic Resonance Imaging. Springer Science & Business Media (Series in BioEngineering)en_US
dc.identifier.issn2196-8861-
dc.identifier.urihttp://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31904-
dc.descriptionhttps://link.springer.com/book/10.1007/978-981-97-6370-2en_US
dc.description.abstractThis 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.sponsorshipNoneen_US
dc.language.isoenen_US
dc.publisherSpringer Singaporeen_US
dc.relation.ispartofseriesCurriculum Vitae;58-
dc.subjectMagnetic Resonance Imaging (MRI)en_US
dc.subjectMedical Imagingen_US
dc.subjectAnatomical Visualizationen_US
dc.subjectThree-Dimensional (3D) Renderingen_US
dc.subjectPhysics-Informed Neural Networks (PINNs)en_US
dc.subjectComputational Imagingen_US
dc.subjectDigital Algorithmsen_US
dc.subjectDigital Healthen_US
dc.subjectMolecular MRIen_US
dc.subjectQuantum Computingen_US
dc.titleDigital Molecular Magnetic Resonance Imagingen_US
dc.typeBooken_US
Appears in Collections:Physics

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