Handbook of Neuro-Oncology Neuroimaging
Handbook of Neuro-Oncology Neuroimaging

Author: Herbert B. Newton

Publisher: Academic Press

Published: 2022-08-21

Total Pages: 1022

ISBN-13: 0128229950

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With treatment approaches and the field of neuro-oncology neuroimaging changing rapidly, this third edition of the Handbook of Neuro-Oncology Neuroimaging is very relevant to those in the field, providing a single-source, comprehensive, reference handbook of the most up-to-date clinical and technical information regarding the application of neuroimaging techniques to brain tumor and neuro-oncology patients. This new volume will have updates on all of the material from the second edition, and in addition features several new important chapters covering diverse topics such as imaging for the use of Laser Interstitial Thermal Therapy, advanced imaging techniques in radiation therapy, therapeutic treatment fields, response assessment in clinical trials, surgical planning of neoplastic disease of the spine, and more. Sections first overview neuro-oncological disorders before delving into the physics and basic science of neuroimaging and great focus on CT and MRI. The book then focuses on advances in the neuroimaging of brain tumors and neuroimaging of specific tumor types. There is also discussion of neuroimaging of other neuro-oncological syndromes. This book will serve as a resource of background information to neuroimaging researchers and basic scientists with an interest in brain tumors and neuro-oncology. - Summarizes translational research on brain imaging for brain tumors - Discusses limitations of neuroimaging for diagnosis and treatment - Presents advanced imaging technologies, including CT, MRI, and PET - Contains new coverage on Laser Interstitial Thermal Therapy, radiation therapy, clinical trials, and more

Brain Tumor Imaging
Brain Tumor Imaging

Author: Elke Hattingen

Publisher: Springer

Published: 2015-09-02

Total Pages: 166

ISBN-13: 3642450407

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This book describes the basics, the challenges and the limitations of state of the art brain tumor imaging and examines in detail its impact on diagnosis and treatment monitoring. It opens with an introduction to the clinically relevant physical principles of brain imaging. Since MR methodology plays a crucial role in brain imaging, the fundamental aspects of MR spectroscopy, MR perfusion and diffusion-weighted MR methods are described, focusing on the specific demands of brain tumor imaging. The potential and the limits of new imaging methodology are carefully addressed and compared to conventional MR imaging. In the main part of the book, the most important imaging criteria for the differential diagnosis of solid and necrotic brain tumors are delineated and illustrated in examples. A closing section is devoted to the use of MR methods for the monitoring of brain tumor therapy. The book is intended for radiologists, neurologists, neurosurgeons, oncologists and other scientists in the biomedical field with an interest in neuro-oncology.

Computational Molecular Magnetic Resonance Imaging for Neuro-oncology
Computational Molecular Magnetic Resonance Imaging for Neuro-oncology

Author: Michael O. Dada

Publisher: Springer Nature

Published: 2021-07-31

Total Pages: 412

ISBN-13: 3030767280

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Based on the analytical methods and the computer programs presented in this book, all that may be needed to perform MRI tissue diagnosis is the availability of relaxometric data and simple computer program proficiency. These programs are easy to use, highly interactive and the data processing is fast and unambiguous. Laboratories (with or without sophisticated facilities) can perform computational magnetic resonance diagnosis with only T1 and T2 relaxation data. The results have motivated the use of data to produce data-driven predictions required for machine learning, artificial intelligence (AI) and deep learning for multidisciplinary and interdisciplinary research. Consequently, this book is intended to be very useful for students, scientists, engineers, the medical personnel and researchers who are interested in developing new concepts for deeper appreciation of computational magnetic resonance imaging for medical diagnosis, prognosis, therapy and management of tissue diseases.

Central Nervous System Metastases
Central Nervous System Metastases

Author: Rohan Ramakrishna

Publisher: Springer Nature

Published: 2020-05-27

Total Pages: 725

ISBN-13: 303042958X

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This is a multi-specialty book on the diagnosis, evaluation, and treatment of CNS metastases of the brain and spine. Written by renowned experts in their fields, the book covers essential contemporary topics in CNS metastases care. The book is divided into seven parts that begin with chapters that cover the fundamental biology of disease so that subsequent chapters on imaging, diagnosis, treatment, and palliation can be properly contextualized. This text also provides a framework for understanding the biology of radiation therapy so that radiation treatment options of the brain and spine can be more fully understood. New medications and technologies are reviewed from the perspective of maximizing efficacy and minimizing toxicity, independently and as combinatorial therapy. Central Nervous System Metastases: Diagnosis and Treatment serves as a practical reference for health care providers and trainees. It provides the comprehensive, detailed perspective required to provide holistic care to patients with metastatic disease to the brain and spine.

Brain and Human Body Modeling
Brain and Human Body Modeling

Author: Sergey Makarov

Publisher: Springer Nature

Published: 2019-08-27

Total Pages: 398

ISBN-13: 3030212939

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This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest developments in computational modelling and human phantom development to assess a given technology’s safety and efficacy in a timely manner. Describes construction and application of computational human models including anatomically detailed and subject specific models; Explains new practices in computational human modeling for neuroelectromagnetics, electromagnetic safety, and exposure evaluations; Includes a survey of modern applications for which computational human models are critical; Describes cellular-level interactions between the human body and electromagnetic fields.

Radiomics and Radiogenomics in Neuro-oncology
Radiomics and Radiogenomics in Neuro-oncology

Author: Hassan Mohy-ud-Din

Publisher: Springer Nature

Published: 2020-02-24

Total Pages: 100

ISBN-13: 3030401243

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This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.

Neural Networks and Statistical Learning
Neural Networks and Statistical Learning

Author: Ke-Lin Du

Publisher: Springer Science & Business Media

Published: 2013-12-09

Total Pages: 834

ISBN-13: 1447155718

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Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.

Glioma Imaging
Glioma Imaging

Author: Whitney B. Pope

Publisher: Springer Nature

Published: 2019-11-11

Total Pages: 289

ISBN-13: 3030273598

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This book covers physiologic, metabolic and molecular imaging for gliomas. Gliomas are the most common primary brain tumors. Imaging is critical for glioma management because of its ability to noninvasively define the anatomic location and extent of disease. While conventional MRI is used to guide current treatments, multiple studies suggest molecular features of gliomas may be identified with noninvasive imaging, including physiologic MRI and amino acid positron emission tomography (PET). These advanced imaging techniques have the promise to help elucidate underlying tumor biology and provide important information that could be integrated into routine clinical practice. The text outlines current clinical practice including common scenarios in which imaging interpretation impacts patient management. Gaps in knowledge and potential areas of advancement based on the application of more experimental imaging techniques will be discussed. In reviewing this book, readers will learn: current standard imaging methodologies used in clinical practice for patients undergoing treatment for glioma and the implications of emerging treatment modalities including immunotherapy the theoretical basis for advanced imaging techniques including diffusion and perfusion MRI, MR spectroscopy, CEST and amino acid PET the relationship between imaging and molecular/genomic glioma features incorporated in the WHO 2016 classification update and the potential application of machine learning about the recently adopted and FDA approved standard brain tumor protocol for multicenter drug trials of the gaps in knowledge that impede optimal patient management and the cutting edge imaging techniques that could address these deficits

Central Nervous System Metastases
Central Nervous System Metastases

Author: Manmeet Ahluwalia

Publisher: Springer Nature

Published: 2019-11-05

Total Pages: 411

ISBN-13: 3030234177

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This book provides a comprehensive overview of brain metastases, from the molecular biology aspects to therapeutic management and perspectives. Due to the increasing incidence of these tumors and the urgent need to effectively control brain metastatic diseases in these patients, new therapeutic strategies have emerged in recent years. The volume discusses all these innovative approaches combined with new surgical techniques (fluorescence, functional mapping, integrated navigation), novel radiation therapy techniques (stereotactic radiosurgery) and new systemic treatment approaches such as targeted- and immunotherapy. These combination strategies represent a new therapeutic model in brain metastatic patients in which each medical practitioner (neurosurgeon, neurologist, medical oncologist, radiation oncologist) plays a pivotal role in defining the optimal treatment in a multidisciplinary approach. Written by recognized experts in the field, this book is a valuable tool for neurosurgeons, neuro-oncologists, neuroradiologists, medical oncologists, radiation oncologists, cognitive therapists, basic scientists and students working in the area of brain tumors.