This report presents a recently developed web-based medical imaging simulation system for teaching students or other trainees who plan to
work in the medical imaging field. The increased importance of computer and information technology widely applied to different imaging
techniques in clinics and medical research necessitates a comprehensive medical imaging education program. A complete tutorial of
simulations introducing popular imaging modalities, such as X-ray, MRI, CT, ultrasound and PET, forms an essential component of such an
education. Internet technologies provide a vehicle to carry medical imaging education online. There exist a number of internet-based medical
imaging hyper-books or online documentations. However, there are few providing interactive computational simulations. We focus on
delivering knowledge of the physical principles and engineering implementation of medical imaging techniques through an interactive
website environment. The online medical imaging simulation system presented in this report outlines basic principles underlying different
imaging techniques and image processing algorithms and offers trainees an interactive virtual laboratory. For education purposes, this system
aims to provide general understanding of each imaging modality with comprehensive explanations, ample illustrations and copious
references as its thrust, rather than complex physics or detailed math. This report specifically describes the development of the tutorial for
commonly used medical imaging modalities. An internet-accessible interface is used to simulate various imaging algorithms with user-
adjustable parameters. The tutorial is under the MATLAB Web Server environment. Macromedia Director MX is used to develop interactive
animations integrating theory with graphic-oriented simulations. HTML and JavaScript are used to enable a user to explore these modules
online in a web browser. Numerous multiple choice questions, links and references for advanced study are provided in the tutorial for trainees
to verify their understanding of each unit. It is expected that this tutorial will enhance medical imaging education, help trainees in subsequent
analysis of image data, and form the basis for the development of more advanced technologies in the future.