Non-rigid Image Registration for Enhanced Localization in Magnetic Resonance Brain Imaging


Book Description

Technical advances in magnetic resonance imaging (MRI) have lead to clinical and scientific applications with higher spatial and temporal resolution. One area of interest is in neuroscience and neuropathology studies towards revealing the ambiguities of human brain function and mental brain disorders. As more challenging patient populations are imaged and more advanced experiments are designed, there is an increasing demand for more accurate localization of brain function and structure. Localization of functional information and fusion of magnetic resonance images has been addressed through image registration techniques. Accurate rigid and affine registration techniques are now part of the standard brain image processing toolkits, which aim at correcting the effect of head motion and repositioning into a sub-voxel range. However, local spatial distortions may cause typical localization errors of up to 10 millimeters in magnetic resonance images acquired by Echo-Planar Imaging (EPI). This compromises the accuracy of localization and registration in functional MRI, Diffusion Tensor Imaging and Arterial Spin Labeling. Such spatial distortions are mainly caused by field inhomogeneity and susceptibility artifacts and cannot be compensated by rigid and affine registration techniques. Therefore, the main thrust of this dissertation has been the deployment of non-rigid registration for the correction of local spatial distortions in EPI. As a main challenge, quantitative in-vivo validation criteria have been devised to support the routine use of the developed techniques as part of a toolkit named NPTK, or Neuroimage Processing ToolKit. The outcome of this research makes up the core component of NPTK for enhanced localization. The technical developments on the optimization aspects of information similarity measures carried out as part of this research is generally applicable to high-dimensional optimization problems including non-rigid registration, information theoretic learning, pattern classification, and bioinformatics.




Intraoperative MRI-Guided Neurosurgery


Book Description

The definitive reference on intraoperative MR-guided neurosurgery Comprehensive in scope and packed with practical information, Intraoperative MR-Guided Neurosurgery contains detailed coverage of this state-of-the-art technology from the pioneers who developed it. Renowned neurosurgeons and neuroradiologists combine their collective wisdom and experience to demonstrate how MR-guided neuronavigation can be used to view real-time images of a patient's brain during surgery to help remove tumors with greater precision. The authors provide step-by-step descriptions of how to perform procedures, including advice based on their clinical results. Readers will learn about the advantages and drawbacks of the various MR imaging systems, clinical indications for MR-guidance, anesthesia considerations, safety concerns related to working in a magnetic environment, and much more. Features: In-depth coverage of all MR imaging systems helps readers to make informed choices about which technique will best suit their surgical needs Guidelines on the most appropriate imaging sequences for the resection of different types of brain tumors More than 200 high-quality intraoperative photographs taken during actual procedures to orient readers who want to use MRI in the operating room Tips from the experts on safety issues, suitable magnet designs and field strengths, cost and benefit analysis, room design, equipment, and logistics Discussion of other forms of technology that have been combined with intraoperative MR-guidance, such as focused ultrasound, neurosurgical robotics, and other promising innovations This leading-edge text has everything that neurosurgeons, neuroradiologists, and interventionalists need to know to implement an intraoperative MR-guided neurosurgery program.




Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004


Book Description

The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004wasstronglyencouragedandsupportedbyIRISA, Rennes. IRISA is a publicly funded national research laboratory with a sta? of 370,including150full-timeresearchscientistsorteachingresearchscientistsand 115 postgraduate students. INRIA, the CNRS, and the University of Rennes 1 are all partners in this mixed research unit, and all three organizations were helpful in supporting MICCAI. MICCAI has become a premier international conference with in-depth - pers on the multidisciplinary ?elds of medical image computing, comput- assisted intervention and medical robotics. The conference brings together cl- icians, biological scientists, computer scientists, engineers, physicists and other researchers and o?ers them a forum to exchange ideas in these exciting and rapidly growing ?elds. The impact of MICCAI increases each year and the quality and quantity of submitted papers this year was very impressive. We received a record 516 full submissions (8 pages in length) and 101 short communications (2 pages) from 36 di?erent countries and 5 continents (see ?gures below). All submissions were reviewed by up to 4 external reviewers from the Scienti?c Review C- mittee and a primary reviewer from the Program Committee. All reviews were then considered by the MICCAI 2004 Program Committee, resulting in the acceptance of 235 full papers and 33 short communications.




Diffusion Tensor Imaging


Book Description

This book provides an overview of the practical aspects of diffusion tensor imaging (DTI), from understanding the basis of the technique through selection of the right protocols, trouble-shooting data quality, and analyzing DTI data optimally. DTI is a non-invasive magnetic resonance imaging (MRI) technique for visualizing and quantifying tissue microstructure based on diffusion. The book discusses the theoretical background underlying DTI and advanced techniques based on higher-order models and multi-shell diffusion imaging. It covers the practical implementation of DTI; derivation of information from DTI data; and a range of clinical applications, including neurosurgical planning and the assessment of brain tumors. Its practical utility is enhanced by decision schemes and a fully annotated DTI brain atlas, including color fractional anisotropy maps and 3D tractography reconstructions of major white matter fiber bundles. Featuring contributions from leading specialists in the field of DTI, Diffusion Tensor Imaging: A Practical Handbook is a valuable resource for radiologists, neuroradiologists, MRI technicians and clinicians.




Tensors in Image Processing and Computer Vision


Book Description

Tensor signal processing is an emerging field with important applications to computer vision and image processing. This book presents the state of the art in this new branch of signal processing, offering a great deal of research and discussions by leading experts in the area. The wide-ranging volume offers an overview into cutting-edge research into the newest tensor processing techniques and their application to different domains related to computer vision and image processing. This comprehensive text will prove to be an invaluable reference and resource for researchers, practitioners and advanced students working in the area of computer vision and image processing.




Diffusion-Weighted MR Imaging of the Brain, Head and Neck, and Spine


Book Description

This richly illustrated book, now in an updated and extended third edition, systematically covers the use of diffusion-weighted (DW) MR imaging in all major areas of neuroradiology, including imaging of the head and neck and the spine as well as the brain. The authors guide the reader from the basic principles of DW imaging through to the use of cutting-edge diffusion sequences such as diffusion tensor (DTI) and kurtosis (DKI), fiber tractography, high b value, intravoxel incoherent motion (IVIM), neurite orientation dispersion and density imaging (NODDI), and oscillating gradient spin echo (OGSE). Pathology, pathophysiology, and patient management and treatment are all thoroughly discussed. Since the early descriptions by LeBihan and colleagues of the ability to image and measure the micromovement of water molecules in the brain, diffusion imaging and its derivatives have contributed ever more significantly to the evaluation of multiple disease processes. In comprehensively describing the state of the art in the field, this book will be of high value not only for those who deal routinely with neuro-MR imaging but also for readers who wish to establish a sound basis for understanding diffusion images in the hope of extending these principles into more exotic areas of neuroimaging.




Introduction to Diffusion Tensor Imaging


Book Description

The concepts behind diffusion tensor imaging (DTI) are commonly difficult to grasp, even for magnetic resonance physicists. To make matters worse, a many more complex higher-order methods have been proposed over the last few years to overcome the now well-known deficiencies of DTI. In Introduction to Diffusion Tensor Imaging: And Higher Order Models, these concepts are explained through extensive use of illustrations rather than equations to help readers gain a more intuitive understanding of the inner workings of these techniques. Emphasis is placed on the interpretation of DTI images and tractography results, the design of experiments, and the types of application studies that can be undertaken. Diffusion MRI is a very active field of research, and theories and techniques are constantly evolving. To make sense of this constantly shifting landscape, there is a need for a textbook that explains the concepts behind how these techniques work in a way that is easy and intuitive to understand—Introduction to Diffusion Tensor Imaging fills this gap. Extensive use of illustrations to explain the concepts of diffusion tensor imaging and related methods Easy to understand, even without a background in physics Includes sections on image interpretation, experimental design, and applications Up-to-date information on more recent higher-order models, which are increasingly being used for clinical applications




Diffusion MRI


Book Description

Professor Derek Jones, a world authority on diffusion MRI, has assembled most of the world's leading scientists and clinicians developing and applying diffusion MRI to produce an authorship list that reads like a "Who's Who" of the field and an essential resource for those working with diffusion MRI. Destined to be a modern classic, this definitive and richly illustrated work covers all aspects of diffusion MRI from basic theory to clinical application. Oxford Clinical Neuroscience is a comprehensive, cross-searchable collection of resources offering quick and easy access to eleven of Oxford University Press's prestigious neuroscience texts. Joining Oxford Medicine Online these resources offer students, specialists and clinical researchers the best quality content in an easy-to-access format.