Download or read book Three Dimensional Volumetric Modeling of the Internal Brain Structure Using Magnetic Resonance Imaging Slices written by and published by . This book was released on 2001 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conventional cross sections of the brain, provided by magnetic resonance imaging (MRI) scanners, comprise a sparse dataset of 2-D gray-level images, that is neither capable of representing the 3-D nature of the brain, nor differentiating its various component parts in a convenient way. The target of the developed work is to fuse more information from the original MRI cross sections, which leads to building a 3-D computerized color-coded model of the normal human brain. The proposed model is beneficial in many areas like medical training, radiation treatment, 3-D model matching, or volume mensuration of brain component parts. This paper presents a revision of the different methods for building 3-D brain models, along with their advantages and disadvantages. A proposed method for building a 3-D brain model is then introduced. The method consists of three stages: interpolation of the original MRI slices, segmentation of the different brain tissues, and 3-D volumetric reconstruction. The resultant model can be geometrically transformed and arbitrarily dissected. The results are shown throughout the paper. Finally, the conclusions drawn from this work, as well as possible future extensions of the work, are listed.
Download or read book Probabilistic Modeling for Segmentation in Magnetic Resonance Images of the Human Brain written by Michael Wels and published by Logos Verlag Berlin GmbH. This book was released on 2010 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book the fully automatic generation of semantic annotations for medical imaging data by means of medical image segmentation and labeling is addressed. In particular, the focus is on the segmentation of the human brain and related structures from magnetic resonance imaging (MRI) data. Three novel probabilistic methods from the field of database-guided knowledge-based medical image segmentation are presented. Each of the methods is applied to one of three MRI segmentation scenarios: 1) 3-D MRI brain tissue classification and intensity non-uniformity correction, 2) pediatric brain cancer segmentation in multi-spectral 3-D MRI, and 3) 3-D MRI anatomical brain structure segmentation. All the newly developed methods make use of domain knowledge encoded by probabilistic boosting-trees (PBT), which is a recent machine learning technique. For all the methods uniform probabilistic formalisms are presented that group the methods into the broader context of probabilistic modeling for the purpose of image segmentation. It is shown by comparison with other methods from the literature that in all the scenarios the newly developed algorithms in most cases give more accurate results and have a lower computational cost. Evaluation on publicly available benchmarking data sets ensures reliable comparability of the results to those of other current and future methods. One of the methods successfully participated in the ongoing online caudate segmentation challenge (www.cause07.org), where it ranks among the top five methods for this particular segmentation scenario.
Download or read book The Human Brain written by Henri M. Duvernoy and published by Springer Science & Business Media. This book was released on 1999-06-08 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serial sections - 2 mm thick - of the cerebral hemispheres and diencephalon in the coronal, sagittal, and horizontal planes. So as to point out the level of the sections more accurately, each is shown from different angles -- emphasising the surrounding hemisphere surfaces. This 3D approach has proven to be extremely useful when apprehending the difficult anatomy of the gyri and sulci of the brain. Certain complex cerebral structures such as the occipital lobe, the deep grey matter and the vascularization are studied here in greater detail. This second edition has been completely revised and updated, 44 serial sections have been added, while old MRI figures have been replaced by newer ones.
Download or read book 3D Model based Segmentation of Individual Brain Structures from Magnetic Resonance Imaging Data written by D. Louis Collins and published by . This book was released on 1994 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Experiments for registration and segmentation are presented using simple phantoms, a realistic digital brain phantom as well as human MRI data. The algorithm is used to estimate neuro-anatomical variability, to automatically segment cerebral structures and to create probabilistic representations of the same structures. Validation with manual methods shows that the procedure performs well, is objective and its implementation robust." --
Download or read book The 3 Dimensional Atlas of the Marmoset Brain written by Atsushi Iriki and published by Springer. This book was released on 2019-01-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides accurate, comprehensive, and convenient reference for usages of the “freely rotatable three dimensional combined Nissl-stained and MRI digital data of the marmoset brain”. The key features of the original 3D digital data and of this atlas are: 1. The original digital datasets are freely rotatable in three dimensions, thus expected to be useful for any disciplines and anatomical interest, using any coordinate system, 2. Combined Nissl stained and MRI images are obtained from the same marmoset, to allow cross-modality matched references for multiple usages, 3. 86 Horizontal Series of Images with Neurosurgical Plane (based on the actual data), with more accuracy and resolution (Chapter 2) than the web-based digital images, 4. 32 Coronal Series of Images with Neurosurgical Plane (reproduced from the brain model) (Chapter 3), 5. 10 Parasagittal Series of Images with Neurosurgical Plane (reproduced from the brain model) (Chapter 4), 6. 3 Omnidirectionally Sliceable Planes (reproduced from the brain model) (Chapter 5), 7. In order to provide higher resolution structures to match systematic accuracy for supplementation of the digital data on the website, additional information are included. They are: 1) Nomenclature, 2) List of Brain Structures in Hierarchical Order, 3) Index of Abbreviations, together with 143 useful Bibliographic References list as of 2016, 8. Horsley-Clarke’s stereotaxic coordinates were adopted in the present atlas.
Download or read book 3D Imaging in Medicine Second Edition written by Jayaram K. Udupa and published by CRC Press. This book was released on 1999-09-28 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to visualize, non-invasively, human internal organs in their true from and shape has intrigued mankind for centuries. While the recent inventions of medical imaging modalities such as computerized tomography and magnetic resonance imaging have revolutionized radiology, the development of three-dimensional (3D) imaging has brought us closer to the age-old quest of non-invasive visualization. The ability to not only visualize but to manipulate and analyze 3D structures from captured multidimensional image data, is vital to a number of diagnostic and therapeutic applications. 3D Imaging in Medicine, Second Edition, unique in its contents, covers both the technical aspects and the actual medical applications of the process in a single source. The value of this technology is obvious. For example, three dimensional imaging allows a radiologist to accurately target the positioning and dosage of chemotherapy as well as to make more accurate diagnoses by showing more pathology; it allows the vascular surgeon to study the flow of blood through clogged arteries; it allows the orthopedist to find all the pieces of a compound fracture; and, it allows oncologists to perform less invasive biopsies. In fact, one of the most important uses of 3D Imaging is in computer-assisted surgery. For example, in cancer surgery, computer images show the surgeon the extent of the tumor so that only the diseased tissue is removed. In short, 3D imaging provides clinicians with information that saves time and money. 3D Imaging in Medicine, Second Edition provides a ready reference on the fundamental science of 3D imaging and its medical applications. The chapters have been written by experts in the field, and the technical aspects are covered in a tutorial fashion, describing the basic principles and algorithms in an easily understandable way. The application areas covered include: surgical planning, neuro-surgery, orthopedics, prosthesis design, brain imaging, analysis of cardio-pulmonary structures, and the assessment of clinical efficacy. The book is designed to provide a quick and systematic understanding of the principles of biomedical visualization to students, scientists and researchers, and to act as a source of information to medical practitioners on a wide variety of clinical applications of 3D imaging.
Download or read book 3D Model based Segmentation of Individual Brain Structures from Magnetic Resonance Imaging Data microform written by D. Louis Collins and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 1994 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quantitative Magnetic Resonance Imaging written by Nicole Seiberlich and published by Academic Press. This book was released on 2020-11-18 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Magnetic Resonance Imaging is a 'go-to' reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion. Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: - The basic physics behind tissue property mapping - How to implement basic pulse sequences for the quantitative measurement of tissue properties - The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2* - The pros and cons for different approaches to mapping perfusion - The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor - maps and more complex representations of diffusion - How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed - How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance - Fingerprinting can be used to accelerate or improve tissue property mapping schemes - How tissue property mapping is used clinically in different organs - Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds - Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements - Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges - Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches
Download or read book Visualization and Volumetric Structures from MR Images of the Brain written by and published by . This book was released on 1994 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pinta is a system for segmentation and visualization of anatomical structures obtained from serial sections reconstructed from magnetic resonance imaging. The system approaches the segmentation problem by assigning each volumetric region to an anatomical structure. This is accomplished by satisfying constraints at the pixel level, slice level, and volumetric level. Each slice is represented by an attributed graph, where nodes correspond to regions and links correspond to the relations between regions. These regions are obtained by grouping pixels based on similarity and proximity. The slice level attributed graphs are then coerced to form a volumetric attributed graph, where volumetric consistency can be verified. The main novelty of our approach is in the use of the volumetric graph to ensure consistency from symbolic representations obtained from individual slices. In this fashion, the system allows errors to be made at the slice level, yet removes them when the volumetric consistency cannot be verified. Once the segmentation is complete, the 3D surfaces of the brain can be constructed and visualized.
Download or read book Deep Learning and Data Labeling for Medical Applications written by Gustavo Carneiro and published by Springer. This book was released on 2016-10-07 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.
Download or read book Reconstruction of Three Dimensional Brain Images from Magnetic Resonance Image Slices written by Juha P. T. Kivitalo and published by . This book was released on 1994 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Atlas of the Human Brainstem written by George Paxinos and published by Elsevier. This book was released on 2013-10-22 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work on the human brainstem has been impeded by the unavailability of a comprehensive diagrammatic and photographic atlas. In the authors' preliminary work on the morphology of the human brainstem (The Human Nervous System, 1990), Paxinos et al demonstrated that it is possible to use chemoarchitecture to establish a number of human homologs in structures known to exist in the rat, the most extensively studied species. Now, with the first detailed atlas on the human brainstem in more than forty years, the authors present an accurate, comprehensive, and convenient reference for students, researchers, and pathologists. Key Features * The first detailed atlas on the human brainstem in more than forty years * Delineated as accurately as The Rat Brain in Stereotaxic Coordinates, Second Edition (Paxinos/Watson, 1986), the most cited book in neuroscience * Based on a single brain from a 59-year-old male with no medical history of neurological or psychiatric illness * Represents all areas of the medulla, pons, and midbrain in the plane transverse to the longitudinal axis of the brainstem * Consists of 64 plates and 64 accompanying diagrams with an interplate distance of half a millimeter * The photographs are of Nissl and acetylcholinesterase (AChE) stained sections at alternate levels * Establishes systematically the human homologs to nuclei identified in the brainstem of the rat Reviewed by leading neuroanatomists * An accurate and convenient guide for students, researchers, and pathologists
Download or read book The Human Brain written by Henri M. Duvernoy and published by Springer. This book was released on 1991-01-01 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Human Brain Stem and Cerebellum written by Henri M. Duvernoy and published by Springer Verlag. This book was released on 1995-01-01 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mathematics and Physics of Emerging Biomedical Imaging written by Committee on the Mathematics and Physics of Emerging Dynamic Biomedical Imaging and published by National Academies Press. This book was released on 1996-03-13 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cross-disciplinary book documents the key research challenges in the mathematical sciences and physics that could enable the economical development of novel biomedical imaging devices. It is hoped that the infusion of new insights from mathematical scientists and physicists will accelerate progress in imaging. Incorporating input from dozens of biomedical researchers who described what they perceived as key open problems of imaging that are amenable to attack by mathematical scientists and physicists, this book introduces the frontiers of biomedical imaging, especially the imaging of dynamic physiological functions, to the educated nonspecialist. Ten imaging modalities are covered, from the well-established (e.g., CAT scanning, MRI) to the more speculative (e.g., electrical and magnetic source imaging). For each modality, mathematics and physics research challenges are identified and a short list of suggested reading offered. Two additional chapters offer visions of the next generation of surgical and interventional techniques and of image processing. A final chapter provides an overview of mathematical issues that cut across the various modalities.
Download or read book Contrast Enhanced Clinical Magnetic Resonance Imaging written by Val M. Runge and published by University Press of Kentucky. This book was released on 1997 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Medical Image Registration written by Joseph V. Hajnal and published by CRC Press. This book was released on 2001-06-27 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid
