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Handbook of MRI Pulse Sequences
- 2nd Edition - March 1, 2025
- Authors: Xiaohong Joe Zhou, Kevin F. King, William Grissom, Leslie Ying, Matt A. Bernstein
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 5 9 7 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 1 5 9 8 - 4
Handbook of MRI Pulse Sequences, Second Edition includes 92 self-contained sections, with each section focusing on a single subject. A new section on detailing the advanced… Read more
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Request a sales quoteHandbook of MRI Pulse Sequences, Second Edition includes 92 self-contained sections, with each section focusing on a single subject. A new section on detailing the advanced pulse sequence techniques covers a variety of basic and advanced image reconstruction methods. The extensive topic coverage and cross-referencing makes this book ideal for beginners learning the building blocks of MRI pulse sequence design, as well as for experienced professionals who are seeking deeper knowledge of a particular technique.
This book is among the most important medical imaging techniques available today. Each of these scanners is capable of running many different "pulse sequences." These sequences are governed by physics and engineering principles and implemented by software programs that control the MRI hardware.
- Explains pulse sequences, their components, and the associated image reconstruction methods commonly used in MRI
- Describes several system measurement tools most relevant to pulse sequence developers and users
- Provides self-contained sections for individual techniques
- Includes both non-mathematical and mathematical descriptions
- Contains numerous figures, tables, references, and worked example problems
Primary market/audience: Researchers and clinicians in radiology, chemistry, biochemistry, pathology, psychology, neurology, and oncology who use Magnetic Resonance Imaging (MRI)
Part I: Background
1: Tools
1.1 Fourier transforms and NUFFT
1.2 Rotating reference frame
1.3 Linear algebra basics
Part II: RF Pulses
2: RF Pulse Shapes
2.1 Rectangular pulses
2.2 SINC pulses
2.3 SLR pulses
2.4 Variable-rate pulses
3: Basic RF Pulse Functions
3.1 Excitation pulses
3.2 Inversion pulses
3.3 Refocusing pulses
3.4 Restoration pulses
4: Spectral RF Pulses
4.1 Composite pulses
4.2 Magnetization transfer and CEST pulses
4.3 Spectrally selective pulses
5: Spatial RF Pulses
5.1 Multi-dimensional pulses
5.2 Ramp (TONE) pulses
5.3 Spatial saturation pulses
5.4 Spatial-spectral pulses
5.5 Tagging pulses
6: Adiabatic RF Pulses
6.1 Adiabatic excitation pulses
6.2 Adiabatic inversion pulses
6.3 Adiabatic refocusing pulses
7: Advanced RF Pulses
7.1 Pulses for parallel transmission
7.2 Pulses for ultra-short TE imaging
Part III: Gradients
8: Gradient Lobe Shapes
8.1 Simple gradient lobes
8.2 Bridged gradient lobes and optimized waveforms
8.3 Gradients for oblique acquisitions
9: Imaging Gradients
9.1 Frequency-encoding gradients
9.2 Phase-encoding gradients
9.3 Slice-selection gradients
10: Motion Sensitizing Gradients
10.1 Diffusion-weighting gradients
10.2 Flow-encoding gradients
11: Correction Gradients
11.1 Concomitant-field correction gradients
11.2 Crusher gradients
11.3 Eddy current pre-emphasis
11.4 Gradient moment nulling
11.5 Spoiler gradients
11.6 Twister (projection dephaser) gradients
Part IV: Data Acquisition and k-space Sampling
12: Signal Acquisition and k-Space Sampling
12.1 Bandwidth and sampling
12.2 k-Space
12.3 Keyhole, BRISK, and TRICKS
12.4 Real-time imaging
12.5 Two-dimensional acquisition
12.6 Three-dimensional acquisition
13: Management of Physiologic Motion
13.1 Cardiac triggering
13.2 Navigators
13.3 Respiratory gating, triggering, and compensation
Part V: IMAGE RECONSTRUCTION
14: Common Image Reconstruction Techniques
14.1 Fourier reconstruction
14.2 Gridding
14.3 Partial Fourier reconstruction
14.4 Phase difference reconstruction
14.5 View-sharing
15: Selected Advanced Image Reconstruction Techniques
15.1 SENSE
15.2 GRAPPA and SMASH
15.3 Selected spatiotemporal acceleration methods
15.4 Compressed sensing
15.5 Deep-learning-based image reconstruction
15.6 MR fingerprinting
Part VI: Pulse sequences
16: Basic Pulse Sequences
16.1 Gradient echo
16.2 Inversion recovery
16.3 RF Spin echo
17: Angiographic Pulse Sequences
17.1 Black blood angiography
17.2 Phase contrast
17.3 TOF and other non-contrast-enhanced MRA
17.4 CEMRA
18: Echo Train Pulse Sequences
18.1 Echo planar imaging
18.2 GRASE
18.3 RARE
19: Non-Cartesian Pulse Sequences
19.1 PROPELLER
19.2 Radial acquisition
19.3 Spiral
19.4 Selected other non-Cartesian k-space trajectories
20: Pulse Sequences for Advanced Applications
20.1 Arterial spin labeling
20.2 Chemical exchange saturation transfer
20.3 Diffusion imaging
20.4 Driven equilibrium
20.5 Fat-water separation methods
20.6 MR elastography
20.7 MR thermometry
20.8 Simultaneous multi-slice imaging
20.9 Susceptibility-weighted imaging and quantitative susceptibility mapping
20.10 T1 mapping sequences
20.11 T2 and T2* mapping sequences
20.12 UTE/ZTE pulse sequences
20.13 View angle tilting and multi-spectral imaging
20.14 Zoomed imaging
21: Selected Measurement Tools
21.1 B0-field mapping and shimming
21.2 B1-field mapping
21.3 Eddy current measurement
21.4 k-Space trajectory measurement
- No. of pages: 800
- Language: English
- Edition: 2
- Published: March 1, 2025
- Imprint: Academic Press
- Hardback ISBN: 9780323915977
- eBook ISBN: 9780323915984
XZ
Xiaohong Joe Zhou
Xiaohong Joe Zhou is a Professor of Radiology, Bioengineering, and Neurosurgery at The University of Illinois College of Medicine at Chicago and Chief Medical Physicist at the University of Illinois Hospital. He received his B.Sc. degree in physical chemistry from Peking University in China (1984), and Ph.D. degree in magnetic resonance imaging (MRI) from the University of Illinois at Urbana-Champaign (1991). Following postdoctoral training in radiology at Duke University and a brief stay on the faculty of University of Pittsburgh, Dr. Zhou joined the Applied Science Laboratory of General Electric Medical System where he made contributions to fast imaging and diffusion MRI. In 1998, he was recruited to The University of Texas M. D. Anderson Cancer Center as an Assistant Professor and a clinical medical physicist. Since relocating to University of Illinois at Chicago in 2003, Dr. Zhou has been conducting MRI research in the areas of diffusion imaging, cancer imaging, neuroimaging, and pulse sequence development. He is a board-certified medical physicist, a Fellow of ISMRM, a Fellow of AIMBE, and a recipient of Distinguished Investigator Award by the Academy for Radiology and Biomedical Imaging Research.
Affiliations and expertise
Associate Professor, University of Illinois Medical Center, Chicago, IL, U.S.A.KK
Kevin F. King
Kevin King was an imaging scientist for GE Healthcare for 34 years from 1983 to 2017. He developed CT calibration and reconstruction algorithms from 1983 to 1991. The CT work included calibration methods to compensate for X-ray detector and source imperfections, dual energy CT, and helical reconstruction algorithms. From 1991 until his retirement in 2017 he developed MR calibration and reconstruction algorithms. The MR work included methods for calibration and measurement of eddy currents, spiral scanning, parallel imaging and compressed sensing. In addition to numerous publications, patents, internal GE technical notes and conference presentations, he also coauthored a book Handbook of MRI Pulse Sequences. He is currently enjoying his retirement
Affiliations and expertise
Senior Scientist, Global Applied Science Lab, GE Healthcare, Milwaukee, WI, U.S.A.WG
William Grissom
William Grissom is an associate professor of Biomedical Engineering and Radiology & Radiological Sciences at Vanderbilt University. He trained at the University of Michigan and Stanford University, and prior to joining Vanderbilt he was a Research Engineer at GE Global Research in Munich, Germany. He is an expert in MR technology and has considerable experience in the design of radiofrequency pulses, image reconstructions, and hardware for very low to ultra-high field MRI scanners
Affiliations and expertise
Associate professor, Biomedical Engineering and Radiology & Radiological Sciences, Vanderbilt UniversityLY
Leslie Ying
Leslie Ying is the Furnas Chair Professor of Biomedical Engineering and Electrical Engineering at University at Buffalo, the State University of New York. She received her B.E. in Electronics Engineering from Tsinghua University, China in 1997 and both her M.S. and Ph.D. in Electrical Engineering from the University of Illinois at Urbana - Champaign in 1999 and 2003, respectively. Prior to joining University at Buffalo in 2012, she was on the faculty of Electrical Engineering and Computer Science at the University of Wisconsin – Milwaukee. Her research interests include magnetic resonance imaging, compressed sensing, image reconstruction, and machine learning. She has contributed to the advancement of various biological and medical imaging modalities using computational methods. Dr. Ying received a CAREER award from the National Science Foundation in 2009. She was elected as an Administrative Committee member of IEEE Engineering in Medicine and Biology Society in 2013-2015. She served on the editorial board of IEEE Transactions on Biomedical Engineering, Magnetic Resonance in Medicine, and Scientific Reports. She is currently the Editor-in-Chief of IEEE Transactions on Medical Imaging. She is a Fellow of AIMBE.
Affiliations and expertise
Furnas Chair Professor, Biomedical Engineering and Electrical Engineering, University at Buffalo, the State University of New York.MB
Matt A. Bernstein
Matt Bernstein received his Ph.D. in theoretical nuclear physics in 1985 from the University of Wisconsin. From 1987-1998, he served first as Senior Software Designer and then later as Senior Physicist at GE Medical Systems, developing novel techniques for MR. He has been awarded 36 US patents over his career. Currently he is a board-certified Medical Physicist and researcher at Mayo Clinic, where he is a Full Professor in the Department of Radiology, with a joint appointment in the Department of Physiology and Biomedical Engineering. Recently the research group he leads developed a novel Compact 3T scanner in collaboration with GE Global Research, and he is currently serving as PI of a 5-year, NIH U01 grant for this program. Dr Bernstein was Editor-in-Chief of Magnetic Resonance in Medicine from 2011-2019, and chaired the International Society for Magnetic Resonance (ISMRM) Engineering Study Group. He is a Fellow of the ISMRM and AIMBE, and is a Distinguished Investigator of the Academy for Radiology & Biomedical Imaging Research. He also served on the Board of Directors of the American Board of Medical Physics, the Board of Trustees of the ISMRM, as well as on several NIH Study Sections. Dr Bernstein has authored over 130 peer-reviewed papers, 250 conference abstracts, and co-authored the book Thinking about equations: A practical guide for developing mathematical intuition in the physical sciences and engineering. According to Google Scholar, his work has been cited approximately 15,000 times.
Affiliations and expertise
Consultant, Department of Radiology, Mayo Clinic, and Associate Professor, Mayo Clinic College of Medicine, Rochester, MN, U.S.A.