Computational Molecular Magnetic Resonance Imaging For Neuro Oncology
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Computational Molecular Magnetic Resonance Imaging For Neuro Oncology
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Author : Michael O. Dada
language : en
Publisher:
Release Date : 2021
Computational Molecular Magnetic Resonance Imaging For Neuro Oncology written by Michael O. Dada and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
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.
Molecular Imaging Through Magnetic Resonance For Clinical Oncology
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Author : Karen Belkic
language : en
Publisher: Cambridge Int Science Publishing
Release Date : 2005-10
Molecular Imaging Through Magnetic Resonance For Clinical Oncology written by Karen Belkic and has been published by Cambridge Int Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10 with Diagnostic imaging categories.
Computational Molecular Magnetic Resonance Imaging For Neuro Oncology
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Author : Michael O. Dada
language : en
Publisher: Springer Nature
Release Date : 2021-07-31
Computational Molecular Magnetic Resonance Imaging For Neuro Oncology written by Michael O. Dada and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-31 with Science categories.
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
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Author : Antonio Luna
language : en
Publisher: Elsevier Health Sciences
Release Date : 2016-01-19
Functional And Molecular Imaging In Oncology An Issue Of Magnetic Resonance Imaging Clinics Of North America written by Antonio Luna and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-19 with Medical categories.
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
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Author : Herbert B. Newton
language : en
Publisher: Elsevier
Release Date : 2007-11-28
Handbook Of Neuro Oncology Neuroimaging written by Herbert B. Newton and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-28 with Medical categories.
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.
Magnetic Resonance Imaging For Radiation Therapy
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Author : Ning Wen
language : en
Publisher: Frontiers Media SA
Release Date : 2020-06-04
Magnetic Resonance Imaging For Radiation Therapy written by Ning Wen 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 2020-06-04 with categories.
Imaging Of Brain Tumors An Issue Of Magnetic Resonance Imaging Clinics Of North America
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Author : Rivka R. Colen
language : en
Publisher: Elsevier Health Sciences
Release Date : 2016-10-15
Imaging Of Brain Tumors An Issue Of Magnetic Resonance Imaging Clinics Of North America written by Rivka R. Colen and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-15 with Medical categories.
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!
Molecular Imaging In Oncology
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Author : E. Edmund Kim
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Molecular Imaging In Oncology written by E. Edmund Kim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Medical categories.
This is a report on updated techniques, instrumentation and clinical application of PET, MRI and MRS in cancer management.
Quantitative Mri In Cancer
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Author : Thomas E. Yankeelov
language : en
Publisher: Taylor & Francis
Release Date : 2011-09-13
Quantitative Mri In Cancer written by Thomas E. Yankeelov and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-13 with Medical categories.
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
Radiomics And Radiogenomics In Neuro Oncology
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Author : Sanjay Saxena
language : en
Publisher: Elsevier
Release Date : 2024-04-08
Radiomics And Radiogenomics In Neuro Oncology written by Sanjay Saxena and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-08 with Medical categories.
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