Main description:

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging.

Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation.

Contents:

Optical and Photo-acoustic Imaging.- Image Analysis and Signal Processing.- Shape Representation and Analysis.- Image Reconstruction.- Imaging and Genomics.- Image Guided Surgery.- Image-Guided Interventions and Surgery.- COVID-19 image processing.- Segmentation.- Pattern recognition.- Feature extraction.- Classifier design.- Machine learning including deep learning.- Radiomics.- CAD workstation design.- Human-computer interaction.- Computer Aided Diagnosis on COVID-19.