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001438670 003__ OCoLC
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001438670 019__ $$a1263027933
001438670 020__ $$a9783030767280$$q(electronic bk.)
001438670 020__ $$a3030767280$$q(electronic bk.)
001438670 020__ $$z3030767272
001438670 020__ $$z9783030767273
001438670 0247_ $$a10.1007/978-3-030-76728-0$$2doi
001438670 035__ $$aSP(OCoLC)1262726344
001438670 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dEBLCP$$dGW5XE$$dYDX$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001438670 049__ $$aISEA
001438670 050_4 $$aRC78.7.N83$$bD33 2021
001438670 08204 $$a616.07/548$$223
001438670 1001_ $$aDada, Michael O.,$$eauthor.
001438670 24510 $$aComputational molecular magnetic resonance imaging for neuro-oncology /$$cMichael O. Dada, Bamidele O. Awojoyogbe.
001438670 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001438670 300__ $$a1 online resource
001438670 336__ $$atext$$btxt$$2rdacontent
001438670 337__ $$acomputer$$bc$$2rdamedia
001438670 338__ $$aonline resource$$bcr$$2rdacarrier
001438670 4901_ $$aBiological and Medical Physics, Biomedical Engineering
001438670 504__ $$aIncludes bibliographical references and index.
001438670 5050_ $$aChapter 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 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.
001438670 506__ $$aAccess limited to authorized users.
001438670 520__ $$aBased on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medial personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic Resonance Imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.
001438670 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 11, 2021).
001438670 650_0 $$aMagnetic resonance imaging.
001438670 650_0 $$aBrain$$xCancer$$xMagnetic resonance imaging.
001438670 650_6 $$aImagerie par résonance magnétique.
001438670 650_6 $$aCerveau$$xCancer$$xImagerie par résonance magnétique.
001438670 655_0 $$aElectronic books.
001438670 7001_ $$aAwojoyogbe, Bamidele O.,$$eauthor$$0(orcid)0000-0003-3699-0897$$1https://orcid.org/0000-0003-3699-0897
001438670 77608 $$iPrint version:$$aDada, Michael O.$$tComputational molecular magnetic resonance imaging for neuro-oncology.$$dCham, Switzerland : Springer, 2021$$z3030767272$$z9783030767273$$w(OCoLC)1247665753
001438670 830_0 $$aBiological and medical physics, biomedical engineering.
001438670 852__ $$bebk
001438670 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76728-0$$zOnline Access$$91397441.1
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001438670 980__ $$aBIB
001438670 980__ $$aEBOOK
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