| Sumario: | This article traces recent efforts in medical image analysis and modeling from medical data that significantly improve the quality of medical practice and education. These increased computational demands create new and exciting possibilities for practitioners in this interdisciplinary area to collaborate with doctors to develop robust and reliable methods and software for computer-based analysis of the body's structures and functions. The challenges stem from the complexity of the data in terms of size (often several gigabytes), geometrical complexity, motion, organ structure, and imaging effects such as nonlinearities and noise. These new tools will require novel research and collaborative efforts among computer scientists, electrical engineers, mathematicians, statisticians, biologists, and physicians. The synergistic and interdisciplinary nature of research in this area and the need for software tool development for medical applications is reflected in several major initiatives from the U.S. National Institutes of Health (NIH) and the National Science Foundation (NSF).
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