The explosive growth in medical imaging technologies has been matched by a tremendous increase in the number of investigations centered on the structural and functional organization of the human body. A pivotal first step towards elucidating the correlation between structure and function, accurate and robust segmentation is a major objective of computerized medicine. It is also a substantial challenge in view of the wide variety of shapes and appearances that organs, anatomical structures and tissues can exhibit in medical images. This chapter surveys the actively expanding field of medical image segmentation. We discuss the main issues that pertain to the remarkably diverse range of proposed techniques. Among others, the characteristics of a suitable segmentation paradigm, the introduction of a priori knowledge, robustness and validation are detailed and illustrated with relevant techniques and applications.
|Title of host publication
|Medical Imaging Systems Technology
|Subtitle of host publication
|Volume 3: Methods in General Anatomy
|World Scientific Publishing Co.
|Number of pages
|Published - 1 Jan 2005
- A priori knowledge
- Medical imaging
- Segmentation paradigm