Biomedical Image Understanding

A comprehensive guide to understanding and interpretingdigital images in medical and functional applications

Biomedical Image Understanding focuses on imageunderstanding and semantic interpretation, with clear introductionsto related concepts, in-depth theoretical analysis, and detaileddescriptions of important biomedical applications. It covers imageprocessing, image filtering, enhancement, de-noising, restoration,and reconstruction; image segmentation and feature extraction;registration; clustering, pattern classification, and datafusion.

With contributions from experts in China, France, Italy, Japan,Singapore, the United Kingdom, and the United States, BiomedicalImage Understanding: 

• Addresses motion tracking and knowledge-based systems, twoareas which are not covered extensively elsewhere in a biomedicalcontext
• Describes important clinical applications, such as virtualcolonoscopy, ocular disease diagnosis, and liver tumordetection
• Contains twelve self-contained chapters, each with anintroduction to basic concepts, principles, and methods, and a casestudy or application

With over 150 diagrams and illustrations, this bookis anessential resource for the reader interested in rapidly advancingresearch and applications in biomedical image understanding.

Joo-Hwee Lim is the Head of the Visual ComputingDepartment at the Institute for Infocomm Research (I²R),A*STAR, Singapore, and an Adjunct Associate Professor at the Schoolof Computer Engineering, Nanyang Technological University,Singapore. He is the co-Director of IPAL (Image & PervasiveAccess Laboratory), a French-Singapore Joint Lab. He establishedthe medical image analysis group at I²R in 2006,collaborating with clinicians closely, resulting in strongcompetency in ocular imaging, brain image analysis, cell imageunderstanding etc at the institute. He has published over 200journal and conference papers and owns 17 patents in the areas ofcomputer vision, cognitive vision, pattern recognition, and medicalimage analysis.
Sim-Heng Ong is an Associate Professor in the Departments ofElectrical Engineering and Bioengineering at the NationalUniversity of Singapore. He received his PhD from the University ofSydney, Australia. His major research areas are computer vision andmedical image analysis and visualization. He has worked extensivelywith clinicians in developing algorithms for a variety of medicalapplications, and has publications in many highly respectedjournals and conferences.
Wei Xiong is a Research Scientist at the Institute forInfocomm Research (I²R), A*STAR, Singapore. He obtainedhis PhD degree from the National University of Singapore.  Hisresearch interest is in computer vision, image processing, patternclassification and acoustic imaging. Dr. Xiong has published over60 technical papers.