Fast quantitative magnetic resonance imaging /

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Bibliographic Details
Main Authors: Buonincontri, Guido (Author), Kaggie, Joshua D. (Author), Graves, Martin J. (Author)
Corporate Author: ProQuest (Firm)
Format: Electronic eBook
Language:English
Published: [San Rafael, California] : Morgan & Claypool, [2020]
Series:Synthesis lectures on biomedical engineering ; #59.
Subjects:
Online Access:Connect to this title online (unlimited simultaneous users allowed; 325 uses per year)

MARC

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100 1 |a Buonincontri, Guido,  |e author. 
245 1 0 |a Fast quantitative magnetic resonance imaging /  |c Guido Buonincontri, Joshua Kaggie and Martin Graves. 
264 1 |a [San Rafael, California] :  |b Morgan & Claypool,  |c [2020] 
300 |a 1 online resource ( xv, 124 pages) :  |b illustrations (some color) 
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338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Synthesis lectures on biomedical engineering,  |x 1930-0336 ;  |v #59 
504 |a Includes bibliographical references. 
505 0 |a 1. Introduction -- 1.1. Nuclear magnetic resonance -- 1.2. Basic concepts -- 1.3. Radiofrequency nutation -- 1.4. T1 relaxation -- 1.5. T2 relaxation -- 1.6. T2* relaxation -- 1.7. Bloch equation -- 1.8. Signal detection -- 1.9. Conclusion 
505 8 |a 2. Spatial encoding -- 2.1. Introduction -- 2.2. Cartesian encoding -- 2.3. Non-Cartesian encoding -- 2.4. Non-Cartesian 3D encoding -- 2.5. Phase offsets -- 2.6. Conclusion 
505 8 |a 3. Contrast encoding -- 3.1. Pulse sequences -- 3.2. Bloch equation simulations -- 3.3. Conventional methods for relaxometry -- 3.4. Multi-parametric quantitative MRI (mqMRI) -- 3.5. Interleaved contrasts -- 3.6. Multi-parametric SSFP -- 3.7. Multi-parametric FSE : syMRI/MAGIC -- 3.8. Conclusion 
505 8 |a 4. Spatial decoding -- 4.1. The discrete Fourier transform -- 4.2. Non-Cartesian k-space reconstruction -- 4.3. Spatial decoding in the transient state -- 4.4. Full cartesian sampling -- 4.5. Full non-cartesian sampling -- 4.6. Anti-aliasing -- 4.7. Trajectory errors -- 4.8. Conclusion 
505 8 |a 5. Contrast decoding -- 5.1. Introduction -- 5.2. Least squares estimations -- 5.3. Maximum inner product search (MIPS) -- 5.4. MRF "matching" with MIPS -- 5.5. Undersampling and MIPS -- 5.6. Multi-component estimation -- 5.7. Nonlinear MR tomography -- 5.8. Machine learning -- 5.9. Conclusion 
505 8 |a 6. Conclusion -- 6.1. Quantitative imaging -- 6.2. Image visualization -- 6.3. Repeatable and reproducible quantifications -- 6.4. The future of quantitative imaging. 
500 |a Title from PDF title page (viewed on February 28, 2020). 
533 |a Electronic reproduction.  |b Ann Arbor, MI  |n Available via World Wide Web. 
650 0 |a Magnetic resonance imaging. 
650 0 |a Quantitative magnetic resonance. 
650 1 2 |a Magnetic Resonance Imaging. 
653 |a spatial encoding 
653 |a contrast encoding 
653 |a spatial decoding 
653 |a contrast decoding 
700 1 |a Kaggie, Joshua D.,  |e author. 
700 1 |a Graves, Martin J.,  |e author. 
710 2 |a ProQuest (Firm) 
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830 0 |a Synthesis lectures on biomedical engineering ;  |v #59. 
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