Conferences related to Magnetic resonance imaging

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2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control


2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

    International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, Bioinformatics and Bio-Medical Informatics, Genomics, Proteomics, Big Data, Databases and Applications, Semi-Structured/Unstructured Data Mining, Multimedia Mining, Web and Text Data Mining, Graphic Model Discovery, Data Warehousing and OLAP, Pattern Recognition and Diagnostics, etc..

  • 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware

  • 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware, etc.

  • 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2007 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD '07 covers all aspects of fuzzy systems and knowledge discovery, including recent theoretical advances and interesting applications, for example, fuzzy theory and models, mathematical foundation of fuzzy systems, fuzzy image/signal processing, fuzzy control and robotics, fuzzy hardware and architectures, fuzzy systems and the internet, fuzzy optimization and modeling, fuzzy decision and support, classification, clustering, statistical methods, knowledge etc.


2017 20th International Conference on Electrical Machines and Systems (ICEMS)

This conference aims to provide a forum for researchers, scientists, and engineers to present their latest R&D achievements and to exchange useful information and experiences in the field of electrical machines and systems, including electrical machines of all types and all aspects (such as new structures, materials, and analysis and design methods), power electronic converters, motion control, electrical drive, and application systems, as well as other relevant areas.


2017 25th European Signal Processing Conference (EUSIPCO)

Audio and acoustic signal processingSpeech and language processingImage and video processingMultimedia signal processingSignal processing theory and methodsSensor array and multichannel signal processingSignal processing for communicationsRadar and sonar signal processingSignal processing over graphs and networksNonlinear signal processingStatistical signal processingCompressed sensing and sparse modelingOptimization methodsMachine learningBio-medical image and signal processingSignal processing for computer vision and roboticsInformation forensics and securitySignal processing for power systemsSignal processing for educationBioinformatics and genomicsSignal processing for big dataSignal processing for the internet of thingsDesign and implementation of signal processing systemsOther signal processing areas

  • 2018 26th European Signal Processing Conference (EUSIPCO)

    Audio and acoustic signal processingSpeech and language processingImage and video processingMultimedia signal processingSignal processing theory and methodsSensor array and multichannel signal processingSignal processing for communicationsRadar and sonar signal processingSignal processing over graphs and networksNonlinear signal processingStatistical signal processingCompressed sensing and sparse modelingOptimization methodsMachine learningBio-medical image and signal processingSignal processing for computer vision and roboticsComputational imaging/ Spectral imagingInformation forensics and securitySignal processing for power systemsSignal processing for educationBioinformatics and genomicsSignal processing for big dataSignal processing for the internet of thingsDesign/implementation of signal processing systemsOther signal processing areas

  • 2016 24th European Signal Processing Conference (EUSIPCO)

    EUSIPCO is the flagship conference of the European Association for Signal Processing (EURASIP). The 24th edition will be held in Budapest, Hungary, from 29th August - 2nd September 2016. EUSIPCO 2016 will feature world-class speakers, oral and poster sessions, keynotes, exhibitions, demonstrations and tutorials and is expected to attract in the order of 600 leading researchers and industry figures from all over the world.

  • 2015 23rd European Signal Processing Conference (EUSIPCO)

    EUSIPCO is the flagship conference of the European Association for Signal Processing (EURASIP). The 23rd edition will be held in Nice, on the French Riviera, from 31st August - 4th September 2015. EUSIPCO 2015 will feature world-class speakers, oral and poster sessions, keynotes, exhibitions, demonstrations and tutorials and is expected to attract in the order of 600 leading researchers and industry figures from all over the world.

  • 2014 22nd European Signal Processing Conference (EUSIPCO)

    EUSIPCO is one of the largest international conferences in the field of signal processing and addresses all the latest developments in research and technology. The conference will bring together individuals from academia, industry, regulation bodies, and government, to discuss and exchange ideas in all the areas and applications of signal processing. The conference will feature world-class keynote speakers, special sessions, plenary talks, tutorials, and technical sessions.

  • 2013 21st European Signal Processing Conference (EUSIPCO)

    The EUSIPCO is organized by the European Association for Signal, Speech, and Image Processing (EURASIP). The focus will be on signal processing theory, algorithms, and applications.

  • 2012 20th European Signal Processing Conference

    The focus: signal processing theory, algorithms and applications. Papers will be accepted based on quality, relevance, and novelty and will be indexed in the main databases. Organizers: University POLITEHNICA of Bucharest and Telecom ParisTech.


2017 25th Signal Processing and Communications Applications Conference (SIU)

Signal Processing and Communication Applications (SIU) conference is the most prominent scientific meeting on signal processing in Turkey bringing together researchers working in signal processing and communication fields. Topics include but are not limited to the areas of research listed in the keywords.

  • 2016 24th Signal Processing and Communication Application Conference (SIU)

    Signal Processing Theory, Statistical Signal Processing, Nonlinear Signal Processing, Adaptive Signal Processing, Array and Multichannel Signal Processing, Signal Processing for Sensor Networks, Time-Frequency Analysis, Speech / Voice Processing and Recognition, Computer Vision, Pattern Recognition, Machine Learning for Signal Processing, Human-Machine Interaction, Brain-Computer Interaction, Signal-Image Acquisition and Generation, image Processing, video Processing, Image Printing and Presentation, Image / Video / Audio browsing and retrieval, Image / Video / Audio Watermarking, Multimedia Signal Processing, Biomedical Signal Processing and Image Processing, Bioinformatics, Biometric Signal-Image Processing and Recognition, Signal Processing for Security and Defense, Signal and Image Processing for Remote Sensing, Signal Processing Hardware, Signal Processing Education, Radar Signal Processing, Communication Theory, Communication Networks, Wireless Communications

  • 2015 23th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing Theory Statistical Signal Processing Nonlinear Signal Processing Adaptive Signal Processing Array and Multichannel Signal Processing Signal Processing for Sensor Networks Time-Frequency Analysis Speech / Voice Processing and Recognition Computer Vision Pattern Recognition Machine Learning for Signal Processing Human-Machine Interaction Brain-Computer Interaction Signal-Image Acquisition and Generation image Processing video Processing Image Printing and Presentation Image / Video / Audio browsing and retrieval Image / Video / Audio Watermarking Multimedia Signal Processing Biomedical Signal Processing and Image Processing Bioinformatics Biometric Signal-Image Processing and Recognition Signal Processing for Security and Defense Signal and Image Processing for Remote Sensing Signal Processing Hardware Signal Processing Education Radar Signal Processing Communication Theory Communication Networks Wireless Communications

  • 2014 22nd Signal Processing and Communications Applications Conference (SIU)

    SIU will be held in Trabzon, Turkey at the Karadeniz Technical University Convention and Exhibition Centre on April 23, 2014. SIU is the largest and most comprehensive technical conference focused on signal processing and its applications in Turkey. Last year there were 500 hundred participants. The conference will feature renowned speakers, tutorials, and thematic workshops. Topics include but are not limited to: Signal Procesing, Image Processing, Communication, Computer Vision, Machine Learning, Biomedical Signal Processing,

  • 2013 21st Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2012 20th Signal Processing and Communications Applications Conference (SIU)

    Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2011 19th Signal Processing and Communications Applications Conference (SIU)

    Conference will bring together academia and industry professionals as well as students and researchers to present and discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. The Conference will also include invited lectures, tutorials and special sessions.

  • 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU)

    S1.Theory of Signal-Processing S2.Statistical Signal-Processing S3.Multimedia Signal-Processing S4.Biomedical Signal-Processing S5.Sensor Networks S6.Multirate Signal-Processing S7.Pattern Recognition S8.Computer Vision S9.Adaptive Filters S10.Image/Video/Speech Browsing, Retrieval S11.Speech/Audio Coding S12.Speech Processing S13.Human-Machine Interfaces S14.Surveillance Signal Processing S15.Bioinformatics S16.Self-Learning S17.Signal-Processing Education S18.Signal-Processing Systems S1

  • 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU)

    The scope of the conference is to cover recent topics in theory and applications of Signal Processing and Communications.

  • 2008 IEEE 16th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing, Image Processing, Speech Processing, Pattern Recognition, Human Computer Interaction, Communication, Video and Speech indexing, Computer Vision, Biomedical Signal Processing

  • 2007 IEEE 15th Signal Processing and Communications Applications (SIU)

  • 2006 IEEE 14th Signal Processing and Communications Applications (SIU)

  • 2005 IEEE 13th Signal Processing and Communications Applications (SIU)

  • 2004 IEEE 12th Signal Processing and Communications Applications (SIU)


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Periodicals related to Magnetic resonance imaging

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Electromagnetic Compatibility, IEEE Transactions on

EMC standards; measurement technology; undesired sources; cable/grounding; filters/shielding; equipment EMC; systems EMC; antennas and propagation; spectrum utilization; electromagnetic pulses; lightning; radiation hazards; and Walsh functions


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


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Most published Xplore authors for Magnetic resonance imaging

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Xplore Articles related to Magnetic resonance imaging

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Study on parameters identification of dynamic equation of human lower limb for improved estimation of muscular tensions

S. Oda; N. Okuyama; S. Komada; J. Hirai 9th IEEE International Workshop on Advanced Motion Control, 2006., 2006

We have proposed a new rehabilitation support equipment that estimates the muscular tensions of lower limbs in order to offer it to the PTs and the patients in a comprehensible form to realize a biofeedback therapy. The muscular tension is estimated by solving the optimization problem from joint torque of each examinee's joint during training. This paper reports comparison and ...


Dynamic physical limits of a phase-shifted full bridge circuit for power supply of Magnetic Resonance Imaging gradient amplifiers

Hongliang Shi; Bin Cui; Yingyu Zeng; Jing Xu; Xiaohua Jiang IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 2015

This paper presents a method to analyze the dynamic physical limits of a phase-shifted full bridge (PSFB) circuit used for the power supply of Magnetic Resonance Imaging (MRI) gradient amplifiers. Based on the time-optimal control theory, the detailed optimal transient response process under a sudden load current change is analyzed considering the sample time delay, the minimum voltage undershoot and ...


Automatic Quantification of Tibio-Femoral Contact Area and Congruity

Sudhakar Tummala; Mads Nielsen; Martin Lillholm; Claus Christiansen; Erik B. Dam IEEE Transactions on Medical Imaging, 2012

We present methods to quantify the medial tibio- femoral (MTF) joint contact area (CA) and congruity index (CI) from low-field magnetic resonance imaging (MRI). Firstly, based on the segmented MTF cartilage compartments, we computed the contact area using the Euclidian distance transformation. The CA was defined as the area of the tibial superior surface and the femoral inferior surface that ...


Model-independent method for fMRI analysis

H. Soltanian-Zadeh; D. J. Peck; D. O. Hearshen; R. R. Lajiness-O'Neill IEEE Transactions on Medical Imaging, 2004

This paper presents a fast method for delineation of activated areas of the brain from functional magnetic resonance imaging (fMRI) time series data. The steps of the work accomplished are as follows. 1) It is shown that the detection performance evaluated by the area under the receiver operating characteristic curve is directly related to the signal-to-noise ratio (SNR) of the ...


Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks

Jung-Woo Ha; Joon Hwan Jang; Do-Hyung Kang; Wi Hoon Jung; Jun Soo Kwon; Byoung-Tak Zhang 2009 IEEE International Conference on Fuzzy Systems, 2009

Hypernetworks are a weighted hypergraph where evolutionary methods are learning the model structure and parameters. The evolutionary methods enable the hypernetwork model to conserve significant features implicitly during the learning process. In this study, we propose a novel feature selection method based on occurrence frequencies of attributes in hyperedges by analyzing the structure of a hypernetwork. We also apply the ...


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Educational Resources on Magnetic resonance imaging

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eLearning

Study on parameters identification of dynamic equation of human lower limb for improved estimation of muscular tensions

S. Oda; N. Okuyama; S. Komada; J. Hirai 9th IEEE International Workshop on Advanced Motion Control, 2006., 2006

We have proposed a new rehabilitation support equipment that estimates the muscular tensions of lower limbs in order to offer it to the PTs and the patients in a comprehensible form to realize a biofeedback therapy. The muscular tension is estimated by solving the optimization problem from joint torque of each examinee's joint during training. This paper reports comparison and ...


Dynamic physical limits of a phase-shifted full bridge circuit for power supply of Magnetic Resonance Imaging gradient amplifiers

Hongliang Shi; Bin Cui; Yingyu Zeng; Jing Xu; Xiaohua Jiang IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 2015

This paper presents a method to analyze the dynamic physical limits of a phase-shifted full bridge (PSFB) circuit used for the power supply of Magnetic Resonance Imaging (MRI) gradient amplifiers. Based on the time-optimal control theory, the detailed optimal transient response process under a sudden load current change is analyzed considering the sample time delay, the minimum voltage undershoot and ...


Automatic Quantification of Tibio-Femoral Contact Area and Congruity

Sudhakar Tummala; Mads Nielsen; Martin Lillholm; Claus Christiansen; Erik B. Dam IEEE Transactions on Medical Imaging, 2012

We present methods to quantify the medial tibio- femoral (MTF) joint contact area (CA) and congruity index (CI) from low-field magnetic resonance imaging (MRI). Firstly, based on the segmented MTF cartilage compartments, we computed the contact area using the Euclidian distance transformation. The CA was defined as the area of the tibial superior surface and the femoral inferior surface that ...


Model-independent method for fMRI analysis

H. Soltanian-Zadeh; D. J. Peck; D. O. Hearshen; R. R. Lajiness-O'Neill IEEE Transactions on Medical Imaging, 2004

This paper presents a fast method for delineation of activated areas of the brain from functional magnetic resonance imaging (fMRI) time series data. The steps of the work accomplished are as follows. 1) It is shown that the detection performance evaluated by the area under the receiver operating characteristic curve is directly related to the signal-to-noise ratio (SNR) of the ...


Gender classification with cortical thickness measurement from magnetic resonance imaging by using a feature selection method based on evolutionary hypernetworks

Jung-Woo Ha; Joon Hwan Jang; Do-Hyung Kang; Wi Hoon Jung; Jun Soo Kwon; Byoung-Tak Zhang 2009 IEEE International Conference on Fuzzy Systems, 2009

Hypernetworks are a weighted hypergraph where evolutionary methods are learning the model structure and parameters. The evolutionary methods enable the hypernetwork model to conserve significant features implicitly during the learning process. In this study, we propose a novel feature selection method based on occurrence frequencies of attributes in hyperedges by analyzing the structure of a hypernetwork. We also apply the ...


More eLearning Resources

IEEE.tv Videos

IMS 2015: Robert H. Caverly - Aspects of Magnetic Resonance Imaging
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 4 of 7 - MRI at 130 Microtesla
Niobium Manufacturing for Superconductivity - ASC-2014 Plenary series - 5 of 13 - Tuesday 2014/8/12
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 3 of 7 - MEG and ULF-MRI
ASC-2014 SQUIDs 50th Anniversary: 2 of 6 - John Clarke - The Ubiquitous SQUID
The Josephson Effect: SQUIDs Then and Now: From SLUGS to Axions
IEEE Magnetics 2014 Distinguished Lectures - Tim St Pierre
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
Charles A. Mistretta accepts the IEEE Medal for Innovations in Healthcare Technology - Honors Ceremony 2016
Wireless Power Charging of Plug-In Electric Vehicles
2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
A Discussion on Hard Drives
Perpendicular magnetic anisotropy: From ultralow power spintronics to cancer therapy
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 6 of 7 - A high sensitive magnetometer system for natural magnetic field measurements
Magnetic Nanowires: Revolutionizing Hard Drives, RAM, and Cancer Treatment
Spin Dynamics in Inhomogeneously Magnetized Systems - Teruo Ono: IEEE Magnetics Society Distinguished Lecture 2016
Magnetic Shield Implementation - EMC Society Demo
Harrison H. Barrett
IEEE Magnetics 2014 Distinguished Lectures - JONATHAN COKER

IEEE-USA E-Books

  • Segmentation of Brain Magnetic Resonance Images

    This chapter presents the application of different rough-fuzzy clustering algorithms for segmentation of brain magnetic resonance (MR) images. One of the important issues of the partitive-clustering-algorithm-based brain MR image segmentation method is the selection of initial prototypes of different classes or categories. The concept of discriminant analysis, based on the maximization of class separability, is used to circumvent the initialization and local minima problems of the partitive clustering algorithms. The chapter first deals with the pixel classification problem, and then gives an overview of the feature extraction techniques employed in segmentation of brain MR images, along with the initialization method of c-means algorithm based on the maximization of class separability. It presents implementation details, experimental results, and a comparison among different c-means algorithms. The algorithms compared are hard c-means (HCM), fuzzy c-means (FCM), possibilistic c-means (PCM), FPCM, rough c-means (RCM), and rough-fuzzy c-means (RFCM). fuzzy set theory; image classification; image segmentation; magnetic resonance imaging; pattern clustering; rough set theory

  • Index

    In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI", and Dr. Zhi-Pei Liang have co- authored the first engineering textbook on magnetic resonance imaging. This long-awaited, definitive text will help undergraduate and graduate students of biomedical engineering, biomedical imaging scientists, radiologists, and electrical engineers gain an in-depth understanding of MRI principles. The authors use a signal processing approach to describe the fundamentals of magnetic resonance imaging. You will find a clear and rigorous discussion of these carefully selected essential topics: * Mathematical fundamentals * Signal generation and detection principles * Signal characteristics * Signal localization principles * Image reconstruction techniques * Image contrast mechanisms * Image resolution, noise, and artifacts * Fast-scan imagin * Constrained reconstruction Complete with a comprehensive set of examples and homework problems, _Principles of Magnetic Resonance Imaging_ is the must-read book to improve your knowledge of this revolutionary technique.

  • About the Authors

    In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI", and Dr. Zhi-Pei Liang have co- authored the first engineering textbook on magnetic resonance imaging. This long-awaited, definitive text will help undergraduate and graduate students of biomedical engineering, biomedical imaging scientists, radiologists, and electrical engineers gain an in-depth understanding of MRI principles. The authors use a signal processing approach to describe the fundamentals of magnetic resonance imaging. You will find a clear and rigorous discussion of these carefully selected essential topics: * Mathematical fundamentals * Signal generation and detection principles * Signal characteristics * Signal localization principles * Image reconstruction techniques * Image contrast mechanisms * Image resolution, noise, and artifacts * Fast-scan imagin * Constrained reconstruction Complete with a comprehensive set of examples and homework problems, _Principles of Magnetic Resonance Imaging_ is the must-read book to improve your knowledge of this revolutionary technique.

  • Summary and Conclusions

    This chapter contains sections titled: Full‐Wave and Approximate Antenna Analysis Intravascular MR Antennas: Loops and Solenoids PCB Antennas: Printed Monopoles RFID Antennas: Folded Dipoles Rectennas: Microstrip Patch Antennas Large Array Antennas: Open‐Ended Rectangular‐Waveguide Radiators References

  • Abbreviations

    **An integrated, comprehensive survey of biomedical imaging modalities** An important component of the recent expansion in bioengineering is the area of biomedical imaging. This book provides in-depth coverage of the field of biomedical imaging, with particular attention to an engineering viewpoint. Suitable as both a professional reference and as a text for a one-semester course for biomedical engineers or medical technology students, _Introduction to Biomedical Imaging_ covers the fundamentals and applications of four primary medical imaging techniques: magnetic resonance imaging, ultrasound, nuclear medicine, and X-ray/computed tomography. Taking an accessible approach that includes any necessary mathematics and transform methods, this book provides rigorous discussions of: * The physical principles, instrumental design, data acquisition strategies, image reconstruction techniques, and clinical applications of each modality * Recent developments such as multi-slice spiral computed tomography, harmonic and sub-harmonic ultrasonic imaging, multi-slice PET scanning, and functional magnetic resonance imaging * General image characteristics such as spatial resolution and signal-to-noise, common to all of the imaging modalities

  • Radio Wave Fundamentals

    This chapter on radio wave fundamentals starts by a revision of the fundamentals of Maxwell's wave equations and polarization. This is followed by a discussion of different propagation phenomena, including reflection, refraction, scattering, diffraction, ducting and frequency dispersion. These are discussed in relation to different transmission media such as propagation in free space, the troposphere and the ionosphere. To study the effects of the earth's atmosphere on the propagation of radio signals, it is useful to identify the frequency ranges of the different bands of the spectrum.

  • Magnetic Resonance Imaging

    This chapter contains sections titled: * General Principles of Magnetic Resonance Imaging * Nuclear Magnetism * Magnetic Resonance Imaging * Instrumentation * Imaging Sequences * Image Characteristics * MRI Contrast Agents * Magnetic Resonance Angiography * Diffusion-Weighted Imaging * _In Vivo_ Localized Spectroscopy * Functional MRI * Clinical Applications of MRI This chapter contains sections titled: * Exercises * Further Reading

  • Brain-Computer Interface Applied to Motor Recovery after Brain Injury

    This chapter deals with the early investigations of brain¿¿-¿¿computer interface (BCI) systems applied to the goal of motor recovery after neural injury, as well as some of the difficulties encountered. It explains the application of noninvasive BCIs to physical rehabilitation. Noninvasive BCIs include those that use electroencephalographical (EEG) recordings from the surface of the scalp, functional magnetic resonance imaging (fMRI) recordings, and magnetoencephalographic (MEG) recordings. The chapter also discusses neuroscience evidence of brain plasticity and theoretical strategies for BCIs in motor learning. It concludes with feasibility studies of noninvasive BCI. These studies address the following issues: identification of motor task practice that can produce a brain signal that can be used in rehabilitation, identification of brain signal features that can be used in rehabilitation, and ease and accuracy of the use of BCI training.

  • Fundamentals of Electromagnetic Scattering

    This chapter reviews the fundamental field equations and provides necessary information on boundary conditions and material relations that are used to model electromagnetic properties of materials. It describes the basic field solutions in the form of plane, cylindrical, and spherical waves, the tensor Green function of the vector wave equation, separation of fields in E and H modes, and introduces the electromagnetic form of the Huygens principle. The chapter begins by specializing Maxwell's equations to the case of homogeneous isotropic source‐free medium and noting that their solutions are waves with different propagation directions. The chapter shows that the combination of Maxwell's equations with all these conditions ensures the uniqueness of the solution of the time‐harmonic scattering problems. It presents some of the basic solutions and solution methods that are of particular importance for the electromagnetic scattering theory.

  • Appendix E: Physical Constants

    In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI", and Dr. Zhi-Pei Liang have co- authored the first engineering textbook on magnetic resonance imaging. This long-awaited, definitive text will help undergraduate and graduate students of biomedical engineering, biomedical imaging scientists, radiologists, and electrical engineers gain an in-depth understanding of MRI principles. The authors use a signal processing approach to describe the fundamentals of magnetic resonance imaging. You will find a clear and rigorous discussion of these carefully selected essential topics: * Mathematical fundamentals * Signal generation and detection principles * Signal characteristics * Signal localization principles * Image reconstruction techniques * Image contrast mechanisms * Image resolution, noise, and artifacts * Fast-scan imagin * Constrained reconstruction Complete with a comprehensive set of examples and homework problems, _Principles of Magnetic Resonance Imaging_ is the must-read book to improve your knowledge of this revolutionary technique.



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