Multimodal Brain Image Fusion For Neurosurgical Planning
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Multimodal Brain Image Fusion For Neurosurgical Planning
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Author : S. Nandish
language : en
Publisher:
Release Date : 2023-05-14
Multimodal Brain Image Fusion For Neurosurgical Planning written by S. Nandish and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-14 with categories.
The book "Multimodal Brain Image Fusion for Neurosurgical Planning" by S. Nandish discusses the use of advanced imaging techniques for planning and performing neurosurgical procedures. The book focuses on the fusion of different imaging modalities such as MRI, CT and PET scans to create a more comprehensive picture of the patient's brain anatomy. The book starts with an overview of the basics of brain imaging, including the different imaging modalities and their advantages and limitations. It then discusses the different approaches to image registration and fusion, and provides a detailed description of the different algorithms and techniques used for multimodal image fusion. The author also explores the use of advanced machine learning techniques such as deep learning for improving the accuracy and efficiency of multimodal image fusion. The book discusses how these techniques can be used to improve the accuracy of preoperative planning and intraoperative navigation, leading to better outcomes for patients undergoing neurosurgery. Overall, "Multimodal Brain Image Fusion for Neurosurgical Planning" is a valuable resource for neurosurgeons, radiologists, and medical imaging researchers interested in understanding and implementing advanced imaging techniques for neurosurgical planning
Multimodal Brain Image Fusion Methods Evaluations And Applications
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Author : Yu Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-06
Multimodal Brain Image Fusion Methods Evaluations And Applications written by Yu Liu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-06 with Science categories.
Multimodal Brain Image Analysis
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Author : Pew-Thian Yap
language : en
Publisher: Springer
Release Date : 2012-09-18
Multimodal Brain Image Analysis written by Pew-Thian Yap and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-18 with Computers categories.
This book constitutes the refereed proceedings of the Second International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 19 revised full papers presented were carefully reviewed and selected from numerous submissions. The objective of this workshop is to forward the state of the art in analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
Multimodal Brain Image Analysis
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Author : Li Shen
language : en
Publisher: Springer
Release Date : 2013-08-15
Multimodal Brain Image Analysis written by Li Shen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-15 with Computers categories.
This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.
Multimodal Imaging In Neurology
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Author : Hans-Peter Müller
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2008
Multimodal Imaging In Neurology written by Hans-Peter Müller and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Brain categories.
The field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG) and magnetic source imaging (MSI) has brought about breakthroughs in neuroscience. To obtain comprehensive information about the activity of the human brain, different analytical approaches should be complemented. Thus, in "intermodal multimodality" imaging, great efforts have been made to combine the highest spatial resolution (MRI, fMRI) with the best temporal resolution (MEG or EEG). "Intramodal multimodality" imaging combines various functional MRI techniques (e.g., fMRI, DTI, and/or morphometric/volumetric analysis). The multimodal approach is conceptually based on the combination of different noninvasive functional neuroimaging tools, their registration and cointegration. In particular, the combination of imaging applications that map different functional systems is useful, such as fMRI as a technique for the localization of cortical function and DTI as a technique for mapping of white matter fiber bundles or tracts. This booklet gives an insight into the wide field of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are also demonstrated.
Multimodal Brain Image Analysis
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Author : Tianming Liu
language : en
Publisher: Springer
Release Date : 2011-09-25
Multimodal Brain Image Analysis written by Tianming Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-25 with Computers categories.
This book constitutes the refereed proceedings of the First International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
Multi Modality Image Fusion By Real Time Tracking Of Volumetric Brain Deformation During Image Guided Neurosurgery
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Author : Alida Tei
language : en
Publisher:
Release Date : 2002
Multi Modality Image Fusion By Real Time Tracking Of Volumetric Brain Deformation During Image Guided Neurosurgery written by Alida Tei and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
Image Guided Neurosurgery
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Author : Alexandra J. Golby
language : en
Publisher: Academic Press
Release Date : 2015-05-05
Image Guided Neurosurgery written by Alexandra J. Golby and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-05 with Medical categories.
Image-Guided Neurosurgery provides readers with an update on the revolutionary improvements in imaging and visualization relating to neurosurgery. From the development of the pneumoencephalogram, to the operating microscope, to cross sectional imaging with CT and later MRI, to stereotaxy and neuronavigation, the ability to visualize the pathology and surrounding neural structures has been the driving factor leading surgical innovation and improved outcomes. The book provides a comprehensive reference on the application of contemporary imaging technologies used in neurosurgery. Specific techniques discussed include brain biopsies, brain tumor resection, deep brain stimulation, and more. The book is ideal for neurosurgeons, interventional radiologists, neurologists, psychiatrists, and radiologists, as well as technical experts in imaging, image analysis, computer science, and biomedical engineering. A comprehensive reference on image-guided neurosurgery Includes coverage of neuronavigation in cranial surgery and advanced imaging, including functional imaging, adoption of intra-operative MRI and emerging technologies Covers all image-guided neurosurgery tools, including robotic surgical devices Ideal reference for topics relating to neurosurgery, imaging, stereotaxis, radiosurgery, radiology, epilepsy, MRI, the use of medical robotics, lasers, and more
Multimodal Brain Image Analysis
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Author :
language : en
Publisher:
Release Date : 2011-09-26
Multimodal Brain Image Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-26 with categories.
Multimodal Brain Image Analysis And Mathematical Foundations Of Computational Anatomy
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Author : Dajiang Zhu
language : en
Publisher: Springer Nature
Release Date : 2019-10-10
Multimodal Brain Image Analysis And Mathematical Foundations Of Computational Anatomy written by Dajiang Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-10 with Computers categories.
This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected. The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications. The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.