Biomedical Image Processing

From the reviews: "The book ... contains useful information for anyone interested in medical and biomedical image processing. ... this book is a rich and valuable compendium of chapters that cover the current art in biomedical image processing. This is a reference book or textbook for imaging informatics professionals, radiologists, physicists, researchers, scientists, and students interested in the rapidly changing world of imaging and image processing tools and options." (Janice Honeyman-Buck, Journal of Digital Imaging, Vol. 25, 2012) "The book is indeed comprehensive, covering all steps in image processing: from image formation via image enhancement, image visualization to image analysis and image management. ... It is 'comprehensive but short, up-to-date but essential and detailed but illustrative'. Also it can be used both by novices (with a mathematical and physics background) and experts, as the editor expressed as a goal. I therefore can recommend this textbook to all interested in learning more about or getting an overview of biomedical image processing methods."--- (Arie Hasman, International Journal of Medical Informatics, Vol. 80, 2011) "A text that is suitable for clinicians, scientists, and engineers interested in the important topic of how clinical and biomedical images can best be processed for features quantification, and to enhance important visual detail. ... The chapters are directed at both students and professors. The aim of each chapter is to cover recent advances and to provide up-to-date information, which is done well. ... The text is eminently readable, and would be quite suitable as an undergraduate course text." (Edward J. Ciaccio, BioMedical Engineering OnLine, Vol. 10 (101), 2011)

• Fundamentals of Biomedical Image Processing.- Part I: Image Formation.- Fusion of PET and MRI for Hybrid Imaging.- Cardiac 4D Ultrasound Imaging.- Part II: Image Enhancement.- Morphological Image Processing Applied in Biomedicine.- Medical Image Registration.- Part III: Feature Extraction and Selection.- Multi-Scale and Multi-Orientation Medical Image Analysis.- Feature Extraction and Selection for Decision Making.- Part IV: Segmentation.- Parametric and Non-Parametric Clustering for Segmentation.- Region-Based Segmentation: Fuzzy Connectedness, Graph Cut and Related Algorithms.- Model-Based Segmentation.- Part V: Classification and Measurements.- Melanoma Diagnosis.- CADx Mammography.- Quantitative Medical Image Analysis for Clinical Development of Therapeutics.- Part VI: Image Data Visualization.- Visualization and Diffusion MRI.- Part VII: Image Management and Integration.- Digital Imaging and Communications in Medicine.- PACS-Based Computer-Aided Detection and Diagnosis.- Content-Based Medical Image Retrieval.- Part VIII: Evaluation and Customizing.- Toolkits and Software for Developing Biomedical Image Processing and Analysis Applications.- Image Processing and the Performance Gap.