Computational Molecular Magnetic Resonance Imaging For Neuro Oncology
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Computational Molecular Magnetic Resonance Imaging for Neuro-oncology by Michael O. Dada,Bamidele O. Awojoyogbe Pdf
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 medial 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.
Computational Molecular Magnetic Resonance Imaging for Neuro-oncology by Michael O. Dada,Bamidele O. Awojoyogbe Pdf
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.
Functional and Molecular Imaging in Oncology, An Issue of Magnetic Resonance Imaging Clinics of North America, by Antonio Luna Pdf
This issue of MRI Clinics of North America focuses on Functional MRI in Oncology. Articles will include: Functional MRI techniques in oncology in the era of personalized medicine, MRI biomarkers and surrogate endpoints in oncology clinical trials, Therapy monitoring with functional MRI, Multiparametric MRI in the assessment of brain tumors, Multiparametric MRI of breast cancer, Functional MRI in chest malignancies, Multiparametric MRI in abdominal malignancies, Assessment of musculoskeletal malignancies with functional MRI, Evaluation of head and neck tumors with functional MRI, Role of multiparametric MRI in malignancies of the urogenital tract, Diffusion-weighted imaging in oncology, Functional MRI in gynecologic cancer, Assessment of angiogenesis with MRI: DCE-MRI and beyond, Imaging of tumor metabolism: MR spectroscopy, and more!
Handbook of Neuro-Oncology Neuroimaging by Herbert B. Newton Pdf
Although the field of Neuro-Oncology has grown considerably in the last 10 to 15 years and has a rather extensive literature, there are no comprehensive, “single-source books that summarize the current literature and future trends of neuroimaging in neuro-oncology. This book covers this topic in more comprehensive fashion, making it an important addition to the armamentarium of physicians that care for patients with brain tumors and other neuro-oncological disorders. Well-founded in basic science, it includes chapters that provide an overview of relevant background material in critical areas such as physics, contrast agents, ultra-high field brain MRI, and molecular imaging.
Imaging of Brain Tumors, An Issue of Magnetic Resonance Imaging Clinics of North America, by Rivka R. Colen Pdf
This issue of MRI Clinics of North America focuses on Imaging of Brain Tumors, and is edited by Dr. Rivka Colen. Articles will include: Multiparametric Imaging Analysis: MR Spectroscopy; Genomics and MicroRNAs in Glioma; Metabolomics and Hyperpolarization MRI in Brain Tumors; Imaging Genomics in Glioma; Radiomics and Big Data in Imaging; RANO Criteria and Clinical Endpoints; Gliomas: The New WHO Brain Tumor Pathological/Molecular Classification and Clinical and Radiographic Classifications; Liposomal Contrast Agents and Nanoparticles in Brain Tumor Imaging; Multiparametric Imaging Analysis: Perfusion, and more!
Author : Jay J. Pillai Publisher : Springer Science & Business Media Page : 253 pages File Size : 44,5 Mb Release : 2013-10-16 Category : Medical ISBN : 9781441958587
Functional Brain Tumor Imaging by Jay J. Pillai Pdf
This book presents a comprehensive overview of current state-of-the-art clinical physiological imaging of brain tumors. It focuses on the clinical applications of various modalities as they relate to brain tumor imaging, including techniques such as blood oxygen level dependent functional magnetic resonance imaging, diffusion tensor imaging, magnetic source imaging/magnetoencephalography, magnetic resonance perfusion imaging, magnetic resonance spectroscopic imaging, amide proton transfer imaging, high angular resolution diffusion imaging, and molecular imaging. Featuring contributions from renowned experts in functional imaging, this book examines the diagnosis and characterization of brain tumors, details the application of functional imaging to treatment planning and monitoring of therapeutic intervention, and explores future directions in physiologic brain tumor imaging. Intended for neuro-oncologists, neurosurgeons, neuroradiologists, residents, and medical students, Functional Imaging of Brain Tumors is a unique resource that serves to advance patient care and research in this rapidly developing field.
Thomas E. Yankeelov,David R. Pickens,Ronald R. Price
Author : Thomas E. Yankeelov,David R. Pickens,Ronald R. Price Publisher : Taylor & Francis Page : 331 pages File Size : 43,5 Mb Release : 2011-09-13 Category : Medical ISBN : 9781439820582
Quantitative MRI in Cancer by Thomas E. Yankeelov,David R. Pickens,Ronald R. Price Pdf
Propelling quantitative MRI techniques from bench to bedside, Quantitative MRI in Cancer presents a range of quantitative MRI methods for assessing tumor biology. It includes biophysical and theoretical explanations of the most relevant MRI techniques as well as examples of these techniques in cancer applications.The introductory part of the book c
A concise yet in-depth analysis of imaging modalities for brain tumors FOUR STARS from Doody's Star Ratings™ Brain Tumor Imaging is a practical, comprehensive reference that covers all the methods of imaging used in the diagnosis and assessment of brain tumors. It includes key information on the use of advanced imaging technologies in the clinical setting for the successful treatment of patients with brain tumors. Key Features: Includes more than 500 high-quality images (color as well as black and white) that help illustrate the latest imaging modalities used in neuro-oncology Covers advanced, functional imaging techniques, giving readers the latest information on clinically advanced imaging tools for brain tumor assessment Provides details on how to accurately evaluate treatment effects and differentiate from tumor progression This book is an essential guide to advanced imaging modalities for all radiologists, neuro-radiologists, neuro-oncologists, and neurosurgeons involved in the treatment and evaluation of patients with brain tumors.
Alan Jackson,David L. Buckley,Geoffrey J. M. Parker
Author : Alan Jackson,David L. Buckley,Geoffrey J. M. Parker Publisher : Springer Science & Business Media Page : 311 pages File Size : 44,6 Mb Release : 2006-03-30 Category : Medical ISBN : 9783540264200
Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Oncology by Alan Jackson,David L. Buckley,Geoffrey J. M. Parker Pdf
Dynamic contrast-enhanced MRI is now established as the methodology of choice for the assessment of tumor microcirculation in vivo. The method assists clinical practitioners in the management of patients with solid tumors and is finding prominence in the assessment of tumor treatments, including anti-angiogenics, chemotherapy, and radiotherapy. Here, leading authorities discuss the principles of the methods, their practical implementation, and their application to specific tumor types. The text is an invaluable single-volume reference that covers all the latest developments in contrast-enhanced oncological MRI.
Radiomics and Radiogenomics in Neuro-Oncology by Sanjay Saxena,Jasjit Suri Pdf
Neuro-oncology broadly encompasses life-threatening brain and spinal cord malignancies, including primary lesions and lesions metastasizing to the central nervous system. It is well suited for diagnosis, classification, and prognosis as well as assessing treatment response. Radiomics and Radiogenomics (R-n-R) have become two central pillars in precision medicine for neuro-oncology.Radiomics is an approach to medical imaging used to extract many quantitative imaging features using different data characterization algorithms, while Radiogenomics, which has recently emerged as a novel mechanism in neuro-oncology research, focuses on the relationship of imaging phenotype and genetics of cancer. Due to the exponential progress of different computational algorithms, AI methods are composed to advance the precision of diagnostic and therapeutic approaches in neuro-oncology.The field of radiomics has been and definitely will remain at the lead of this emerging discipline due to its efficiency in the field of neuro-oncology. Several AI approaches applied to conventional and advanced medical imaging data from the perspective of radiomics are very efficient for tasks such as survival prediction, heterogeneity analysis of cancer, pseudo progression analysis, and infiltrating tumors. Radiogenomics advances our understanding and knowledge of cancer biology, letting noninvasive sampling of the molecular atmosphere with high spatial resolution along with a systems-level understanding of causal heterogeneous molecular and cellular processes. These AI-based R-n-R tools have the potential to stratify patients into more precise initial diagnostic and therapeutic pathways and permit better dynamic treatment monitoring in this period of personalized medicine. While extremely promising, the clinical acceptance of R-n-R methods and approaches will primarily hinge on their resilience to non-standardization across imaging protocols and their capability to show reproducibility across large multi-institutional cohorts.Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm provides readers with a broad and detailed framework for R-n-R approaches with AI in neuro-oncology, the description of cancer biology and genomics study of cancer, and the methods usually implemented for analyzing. Readers will also learn about the current solutions R-n-R can offer for personalized treatments of patients, limitations, and prospects. There is comprehensive coverage of information based on radiomics, radiogenomics, cancer biology, and medical image analysis viewpoints on neuro-oncology, so this in-depth coverage is divided into two Volumes.Volume 1: Radiogenomics Flow Using Artificial Intelligence provides coverage of genomics and molecular study of brain cancer, medical imaging modalities and analysis in neuro-oncology, and prognostic and predictive models using radiomics.Volume 2: Genetics and Clinical Applications provides coverage of imaging signatures for brain cancer molecular characteristics, clinical applications of R-n-R in neuro-oncology, and Machine Learning and Deep Learning AI approaches for R-n-R in neuro-oncology. Includes coverage on the foundational concepts of the emerging fields of radiomics and radiogenomics Covers neural engineering modeling and AI algorithms for the imaging, diagnosis, and predictive modeling of neuro-oncology Presents crucial technologies and software platforms, along with advanced brain imaging techniques such as quantitative imaging using CT, PET, and MRI Provides in-depth technical coverage of computational modeling techniques and applied mathematics for brain tumor segmentation and radiomics features such as extraction and selection
Neuro-oncology by Wolfgang Grisold,Riccardo Soffietti Pdf
Volume 2: This volume provides unique insights into the field of neuro-oncology by presenting new advancements and research in the study and treatment of tumors of the nervous system, their progression, side effects, and the adverse effects of some therapies. An in-depth exploration of the management of tumors and new therapeutic strategies is extensively covered, including groundbreaking research on gene therapy and molecularly targeted treatments. Clinicians will gain a better understanding of the many neurological manifestations of tumors through a thorough analysis of recent developments in the field, including new diagnostic imaging techniques. In addition, fresh attention to molecular biology, immunology, and other clinical aspects of these types of tumors is presented. [Ed.].
Quantum Magnetic Resonance Imaging Diagnostics of Human Brain Disorders by Madan M Kaila,Rakhi Kaila Pdf
Magnetic resonance imaging (MRI) is a medical imaging technique used to visualize detailed internal structure of the body. This book discusses the recent developments in the field of MRI and its application to the diagnosis of human brain disorders. In addition, it reviews the newly emerging concepts and technology, based on the multi-coherence imaging (MQCI). It explains how computer packages can be used to generate images in diseased states and compare them to in vivo results. This will help improve the diagnosis of brain disorders based on the real-time events happening on atomic and molecular quantum levels. This is important since quantum-based MRI would enable clinicians to detect brain tumors at the very early stages. Uses practical examples to explain the techniques - making it easier to understand the concepts Uses diagrams to explain the physics behind the technique - avoiding the use of complicated mathematical formulae
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
