Outline of lecture

This course will feature an image and information aspects of a medical engineering, such as a mechanism of X-ray CT, SPECT and PET, image reconstruction methods etc. In addition, a diagnostic technique will be will be presented in the lecture.

Purpose of lecture

This course will feature an image and information aspects of a medical engineering, such as a mechanism of X-ray CT, SPECT and PET, image reconstruction methods etc. In addition, a diagnostic technique will be will be presented in the lecture.

Plan of lecture

01.Linear Inverse Problems
02.Maximum Liklihood and EM Algorithm
03.Baysian Estimation
04.Theory of the Computed Tomography
05.X-ray Computed Tomography
06.Single Photon Emission Tomography and Positoron Emission Tomography
07.Medical information systems
08.Computed Aided and Assited Diagonosis

Textbook and reference

Reference book are ""Computed Tomography,"" J.Hsieh, SPIE Press, ""The EM Algorithm and Extensions,"" G.J.McLachlan and T.Krishnan ,WILEY-INTERSCIENCE, ""The Theory and Practice of 3D PET,"" B.Bendriem and D.W.Townsend, Kluwer Academic Publishers and ""謾ｾ蟆�ｷ夊ｨｺ譁ｭ讖溷勣蟾･蟄ｦ"" 蛹ｻ豁ｯ阮ｬ蜃ｺ迚茨ｼ域�ｪ��

Related and/or prerequisite courses

This class requires knowledge of fundamentals on the image processing in undergraduate levels

Evaluation

Evaluation will be based on the term-end report.

Comments from lecturer

This course gives you comprehensive theory and practice related to the latest medical image processing and informatics. Anytime you can visit my office with permission by email.