Emanuele Neri – författare

This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future.

This book provides the reader with a focused review of multimodality imaging strategies (radiology and molecular imaging) in staging and re-staging the major types of cancer (i.e. thyroid, breast, colon-rectum, lung, prostate, pancreas, liver, head and neck, and hematological cancer), including rare neoplasms. In addition to presenting the possible diagnostic pathways for all oncologic diseases, the book identifies those interventions currently available in clinical practice (these being a branch of interventional radiology), while also examining and detailing molecular radiotherapy strategies. The work has an interdisciplinary appeal and, thanks to its highly informative and cutting-edge coverage, professionals as well as advanced students and residents in radiology, oncology and surgery will find it of particular interest.

Few fields have witnessed such impressive advances as image processing in radiology. The progress achieved has revolutionized diagnosis and greatly facilitated treatment selection and accurate planning of procedures. This book, written by leading experts from many countries, provides a comprehensive and up-to-date description of how to use 2D and 3D processing tools in clinical radiology. The first section covers a wide range of technical aspects in an informative way. This is followed by the main section, in which the principal clinical applications are described and discussed in depth. To complete the picture, a third section focuses on various special topics. The book will be invaluable to radiologists of any subspecialty who work with CT and MRI and would like to exploit the advantages of image processing techniques. It also addresses the needs of radiographers who cooperate with clinical radiologists and should improve their ability to generate the appropriate 2D and 3D processing.

Magnetic resonance angiography (MRA) continues to undergo exciting technological advances that are rapidly being translated into clinical practice. It also has evident advantages over other imaging modalities, including CT angiography and ultrasonography. With the aid of numerous high-quality illustrations, this book reviews the current role of MRA of the body. It is divided into three sections. The first section is devoted to issues relating to image acquisition technique and sequences, which are explored in depth. The second and principal section addresses the clinical applications of MRA in various parts of the body, including the neck vessels, the spine, the thoracic aorta and pulmonary vessels, the heart and coronary arteries, the abdominal aorta and renal arteries, and peripheral vessels. The final section considers the role of MRA in patients undergoing liver or pancreas and kidney transplantation. This book will be an invaluable aid to all radiologists who work with MRA.

This easy-to-use atlas comprises a collection of representative common and unusual virtual colonoscopy (CT colonography, CTC) cases that physicians and radiologists may expect to encounter during their clinical practice. The atlas reflects the important recent advances in image acquisition, patient preparation, and image processing and is thus completely up-to-date.  Each case is presented with the native CT images, integrated images obtained by 3D image processing, and colonoscopic correlation. Topics covered include normal appearances, anatomical variants, pitfalls, diverticula, lipomas, inflammatory bowel disease, polyps, flat lesions, cancers, and the postsurgical colon. By presenting the main features of anatomy and pathology, this atlas will serve as an invaluable tool both for radiologists performing CTC and for clinicians who need to review the CTC examinations of their patients.

La diagnostica per immagini ha subìto in questi anni una notevole trasformazione legata in primo luogo al rapido sviluppo tecnologico. Di pari passo con il miglioramento delle metodologie di acquisizione in tomografia computerizzata e risonanza magnetica, si sono affermate nella pratica clinica le tecniche di elaborazione bidimensionale e tridimensionale delle immagini diagnostiche.

Concepito come riferimento per gli studenti del corso di Laurea in Tecniche di Radiologia Medica per Immagini e Radioterapia, per la preparazione dell’esame di "Produzione e trattamento delle immagini diagnostiche", il volume si rivolge anche ai medici specializzandi in radiodiagnostica e in medicina-nucleare, i quali non possono non conoscere le basi tecniche della formazione ed elaborazione delle immagini.