Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/17798
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dc.contributor.authorAwojoyogbe, Bamidele-
dc.contributor.authorDada, Michael-
dc.contributor.authorAdesola, Adewale-
dc.date.accessioned2023-01-25T03:12:59Z-
dc.date.available2023-01-25T03:12:59Z-
dc.date.issued2014-04-09-
dc.identifier.citationAwojoyogbe, O. B., Dada, M. O., & Adesola, A. O. (2014). Computational Magnetic Resonance Imaging based on Bloch NMR Flow Equation and Bessel Functions. Proceeding International Work Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 820-841.en_US
dc.identifier.isbn978-84-15814-84-9-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/17798-
dc.descriptionhttps://www.academia.edu/64116412/Computational_Magnetic_Resonance_Imaging_based_on_Bloch_NMR_Flow_Equation_and_Bessel_Functionsen_US
dc.description.abstractDetailed understanding of the complexities of flow and in biological materials is essential for the design, development, and optimization of MRI protocols for medical and bio- medical applications. However, the design of such processes resort to trial and error, because the mathematics and physics of most experimental techniques are fundamentally limited. In this study, we develop a new magnetic resonance imaging sequence based on Bloch NMR flow equation and Bessel functions for detailed computational and experimental studies to improve health care.en_US
dc.description.sponsorshipNilen_US
dc.language.isoenen_US
dc.publisherInternational Work-Conference on Bioinformatics and Biomedical Engineeringen_US
dc.relation.ispartofseriesCurriculum Vitae;41-
dc.subjectBloch NMR flow equationen_US
dc.subjectBessel functionsen_US
dc.subjectComputational MRIen_US
dc.titleComputational Magnetic Resonance Imaging based on Bloch NMR Flow Equation and Bessel Functionsen_US
dc.typeOtheren_US
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