Analysis of Dynamic Contrast Enhanced MRI Datasets

This book gives an insight into algorithms used for analysis and interpretation Magnetic Resonance Imaging (MRI) and specifically dynamic contrast - enhanced MRI data. It discusses state of the art and cutting edge segmentation and patient motion correction methods, evaluation and analysis techniques and their application in research and clinical routine. The book presents a comprehensive solution for fully automated objective assessment of data acquired from patients with inflammatory conditions. We show how data can be interpreted using a novel model-based approach, which permits understanding of the behaviour of tissues undergoing the medical procedure, and allows for robust and accurate extraction of various parameters that quantify the extent of inflammation. The author and her colleagues took this scientific work further and developed a platform for analysis of MRI and dynamic MRI data DYNAMIKA, www.dynamika-ra.com, www.imageanalysis.org.uk which became a standard in processing data acquired from patients with inflammatory conditions such as rheumatoid arthritis and cancer.

Autorentext

Dr.Olga Kubassova has 10 years of experience in developing algorithms for analysis of MRI data, which speed up diagnosis and improve data quality. She published 40 articles, 2 monographs, and 3 book chapters. She received multiple awards including Entrepreneur of the Year , Inventor of the Year and became a scholar of British Royal Society.