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.
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.
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
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 ""放射線診断機器工学"" 医歯薬出版(株)
This class requires knowledge of fundamentals on the image processing in undergraduate levels
Evaluation will be based on the term-end report.
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.