New Challenges And Future Perspectives In Brain Imaging Methods 2nd Edition
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| Author | : Nico Sollmann |
| Publisher | : Frontiers Media SA |
| Total Pages | : 129 |
| Release | : 2024-10-22 |
| Genre | : Science |
| ISBN | : 2832555608 |
Brain imaging has seen considerable advances over the recent years. Both developments and validation of advanced image acquisition techniques as well as post-processing and analyses pipelines contribute to contemporary imaging, including parallel imaging, (semi-)automated segmentation, generation of synthetic images, and application of machine learning and radiomics. Multi-modal approaches using structural, metabolic, and functional imaging are emerging to build a framework for a better understanding of anatomical features and physiological processes of the brain. This Research Topic intends to cover a broad theme, welcoming contributions spanning across the fields of (neuro)radiology, medical image analysis including machine learning, neurosurgery, and neurology, to reflect latest advances in the field of brain imaging. Original research, systematic / narrative / mini review, methods, perspective, clinical trial, case report, brief research report, general commentary, opinion, and technology and code manuscripts are welcome. A special focus is set on the following topics: - Multi-modal imaging (e.g., combination of structural, metabolic, molecular and functional imaging) - Utility of neuronavigation / virtual reality based on imaging data - Application of machine learning, artificial intelligence, and radiomics - Development of (semi-)automated image processing pipelines (e.g., segmentation algorithms) - Image acquisition acceleration / parallel imaging - Translational efforts that describe the transfer of advanced imaging approaches to the clinical setup and/or to a broader application in research - Emerging technology (e.g., mobile bedside MRI, functional ultrasound, magnetic particle imaging)
| Author | : Philip Seeman |
| Publisher | : Elsevier |
| Total Pages | : 534 |
| Release | : 2013-11-15 |
| Genre | : Science |
| ISBN | : 012418684X |
Brain imaging technology remains at the forefront of advances in both our understanding of the brain and our ability to diagnose and treat brain disease and disorders. Imaging of the Human Brain in Health and Disease examines the localization of neurotransmitter receptors in the nervous system of normal, healthy humans and compares that with humans who are suffering from various neurologic diseases. Opening chapters introduce the basic science of imaging neurotransmitters, including sigma, acetylcholine, opioid, and dopamine receptors. Imaging the healthy and diseased brain includes brain imaging of anger, pain, autism, the release of dopamine, the impact of cannabinoids, and Alzheimer's disease. This book is a valuable companion to a wide range of scholars, students, and researchers in neuroscience, clinical neurology, and psychiatry, and provides a detailed introduction to the application of advanced imaging to the treatment of brain disorders and disease. - A focused introduction to imaging healthy and diseased brains - Focuses on the primary neurotransmitter release - Includes sigma, acetylcholine, opioid, and dopamine receptors - Presents the imaging of healthy and diseased brains via anger, pain, autism, and Alzheimer's disease
| Author | : Scott W. Atlas |
| Publisher | : Lippincott Williams & Wilkins |
| Total Pages | : 1976 |
| Release | : 2009 |
| Genre | : Medical |
| ISBN | : 9780781769853 |
Established as the leading textbook on imaging diagnosis of brain and spine disorders, Magnetic Resonance Imaging of the Brain and Spine is now in its Fourth Edition. This thoroughly updated two-volume reference delivers cutting-edge information on nearly every aspect of clinical neuroradiology. Expert neuroradiologists, innovative renowned MRI physicists, and experienced leading clinical neurospecialists from all over the world show how to generate state-of-the-art images and define diagnoses from crucial clinical/pathologic MR imaging correlations for neurologic, neurosurgical, and psychiatric diseases spanning fetal CNS anomalies to disorders of the aging brain. Highlights of this edition include over 6,800 images of remarkable quality, more color images, and new information using advanced techniques, including perfusion and diffusion MRI and functional MRI. A companion Website will offer the fully searchable text and an image bank.
| Author | : Hao Huang |
| Publisher | : Elsevier |
| Total Pages | : 580 |
| Release | : 2021-10-28 |
| Genre | : Computers |
| ISBN | : 0128166339 |
Handbook of Pediatric Brain Imaging: Methods and Applications presents state-of-the-art research on pediatric brain image acquisition and analysis from a broad range of imaging modalities, including MRI, EEG and MEG. With rapidly developing methods and applications of MRI, this book strongly emphasizes pediatric brain MRI, elaborating on the sub-categories of structure MRI, diffusion MRI, functional MRI, perfusion MRI and other MRI methods. It integrates a pediatric brain imaging perspective into imaging acquisition and analysis methods, covering head motion, small brain sizes, small cerebral blood flow of neonates, dynamic cortical gyrification, white matter tract growth, and much more. Presents state-of-the-art pediatric brain imaging methods and applications Shows how to optimize the pediatric neuroimaging acquisition and analysis protocols Illustrates how to obtain quantitative structural, functional and physiological measurements
| Author | : Dorina Papageorgiou |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 682 |
| Release | : 2014-05-31 |
| Genre | : Science |
| ISBN | : 9535112031 |
The brain is the most complex computational device we know, consisting of highly interacting and redundant networks of areas, supporting specific brain functions. The rules by which these areas organize themselves to perform specific computations have only now started to be uncovered. Advances in non-invasive neuroimaging technologies have revolutionized our understanding of the functional anatomy of cortical circuits in health and disease states, which is the focus of this book. The first section of this book focuses on methodological issues, such as combining functional MRI technology with other brain imaging modalities. The second section examines the application of brain neuroimaging to understand cognitive, visual, auditory, motor and decision-making networks, as well as neurological diseases. The use of non-invasive neuroimaging technologies will continue to stimulate an exponential growth in understanding basic brain processes, largely as a result of sustained advances in neuroimaging methods and applications.
| Author | : Sally Satel |
| Publisher | : Basic Civitas Books |
| Total Pages | : 258 |
| Release | : 2013-06-04 |
| Genre | : Science |
| ISBN | : 0465018777 |
Demonstrates how the explanatory power of brain scans in particular and neuroscience more generally has been overestimated, arguing that the overzealous application of brain science has undermined notions of free will and responsibility.
| Author | : Amir Raz |
| Publisher | : Academic Press |
| Total Pages | : 206 |
| Release | : 2019-02-15 |
| Genre | : Psychology |
| ISBN | : 0128163097 |
Most people find colorful brain scans highly compelling—and yet, many experts don't. This discrepancy begs the question: What can we learn from neuroimaging? Is brain information useful in fields such as psychiatry, law, or education? How do neuroscientists create brain activation maps and why do we admire them? Casting Light on The Dark Side of Brain Imaging tackles these questions through a critical and constructive lens—separating fruitful science from misleading neuro-babble. In a breezy writing style accessible to a wide readership, experts from across the brain sciences offer their uncensored thoughts to help advance brain research and debunk the craze for reductionist, headline-grabbing neuroscience. This collection of short, enlightening essays is suitable for anyone interested in brain science, from students to professionals. Together, we take a hard look at the science behind brain imaging and outline why this technique remains promising despite its seldom-discussed shortcomings. - Challenges the tendency toward neuro-reductionism - Deconstructs hype through a critical yet constructive lens - Unveils the nature of brain imaging data - Explores emerging brain technologies and future directions - Features a non-technical and accessible writing style
| Author | : David A. Waldman |
| Publisher | : Emerald Group Publishing Limited |
| Total Pages | : 0 |
| Release | : 2015-12-14 |
| Genre | : Business & Economics |
| ISBN | : 9781785604317 |
This volume aims to introduce organizational researchers and practitioners to the role of neuroscience in building theory, research methodologies and practical applications. The volume introduces the field of organizational neuroscience and explores its influence on topics such as leadership, ethics and moral reasoning.
| Author | : Russell Poldrack |
| Publisher | : Princeton University Press |
| Total Pages | : 216 |
| Release | : 2020-10-06 |
| Genre | : Medical |
| ISBN | : 0691208980 |
Thinking on 20 watts -- The visible mind -- fMRI grows up -- Can fMRI read minds? -- How do brains change over time? -- Crimes and lies -- Decision neuroscience -- Is mental illness just a brain disease? -- The future of neuroimaging.
| Author | : Guorong Wu |
| Publisher | : Academic Press |
| Total Pages | : 514 |
| Release | : 2016-08-11 |
| Genre | : Computers |
| ISBN | : 0128041145 |
Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. - Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems - Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics - Features self-contained chapters with a thorough literature review - Assesses the development of future machine learning techniques and the further application of existing techniques
