This Neuroimaging publication presents information in three distinct sections: Diagnostics, Planning/Imaging, and Therapeutics. Topics include State of the Art Pathology (New tools, New WHO classification/implications); Applications of nanotechnology in the imaging and therapy of brain tumors; Molecular Tools (Biology, Prognosis and Therapeutic Triage in Gliomas); Surgical planning and intra-operative MR in brain tumor surgery; Imaging of brain tumors via DTI and fMRI; Imaging of brain tumors via MR Spectroscopy and Metabolic Imaging; Imaging of brain tumors: Perfusion Permeability; Novel Gadolinium liposomal contrast agents; Current status and future potential of MRI-guided focused ultrasound surgery; Update on surgically based clinical trials in brain tumors including new neurosurgical techniques; Novel medical therapeutics in brain tumors, including targeted molecular therapies, current and future clinical trials; and Radiation oncology in brain tumors, current approaches and clinical trials in progress.

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.

Topics include: Imaging of Ischemic Stroke; Hemorrhagic Stroke and Non-traumatic Intracranial Hemorrhage; Acute Neuro-Interventional Therapies; Orbital and Intracranial Complications of Sinusitis; Traumatic Brain Injury; Central Nervous System Infections; Facial Trauma: What the Surgeon Wants to Know; Intracranial Hypo- and Hypertension; Seizures; Pediatric Central Nervous System Emergencies; Spine Emergencies; Infections and Inflammatory Processes of the Neck.

Approx.240 pagesApprox.240 pages

Genetic Patterns in Neuroimaging is explored in this important Neuroimaging Clinics issue. Articles include: Brain imaging and genetic risk of congenital malformations; Understanding genetics in neuroimaging; Influence of genetics in neuropathology; Building a bridge between genomics and neuroradiology; Systems genetics approaches to neuroimaging phenotypes; Imaging genetic predictions at an individual level; Brain imaging and genetic risk in the pediatric population; Imaging phenotypes in cognitive diseases; Molecular imaging in genetics; Imaging phenotypes in psychiatric disease; Genomics of brain tumor imaging; Neuroimaging and genetic influence in post-treatment brain neoplasms; Imaging phenotypes in multiple sclerosis; Genetic markers and influences in cerebrovascular malformations, and more.

This issue of Neuroimaging Clinics of North America focuses on State of the Art Evaluation of the Head and Neck and is edited by Dr. Ashok Srinivasan. Articles will include: Diffusion MR in the head and neck: Principles and applications; Perfusion imaging in the head and neck: Go with the flow; MR spectroscopy of the head and neck: Principles, applications and challenges; Technological improvements in head and neck MR: At the cutting edge; Dual Energy CT in head and neck imaging: Pushing the envelope; Role of Ultrasound in head and neck evaluation; PET imaging in the head and neck: Current state and future directions; Patient centric head and neck cancer radiation therapy: Role of advanced imaging; AI in head and neck imaging: Glimpse into the future; NIRADS: Principles and implementation; Common data elements in head and neck reporting; and more!

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.