BMEN 6830 Introduction to Biomedical Imaging and Image Processing (3 credits)
Contact hours: Lecture: 2 per week @ 75 minutes, offered every fall semester
Instructor: Yu-Ping Wang, PhD
Textbooks: Kenneth R. Castleman, Digital Image Processing, Prentice Hall, 1996.
Catalog Description: The objective of this course is to teach graduate students the concepts, algorithms and programming of image analysis techniques and apply them to address real world biomedical imaging challenges. The physics of medical imaging modalities including x-ray, MRI, CT, PET and microscopic imaging will be introduced. The basic underlying mathematical signal processing techniques such as Fourier analysis and linear system theory will be studied to model and process biomedical images. Finally, students will learn how to use MATLAB as a tool and apply the image processing techniques to solve some medical imaging problems such as image enhancement, segmentation and pattern classification.
Prerequisites: BMEN 2020 or MUSIC 4400 or approved by the instructor.
Designation: This course is for graduate students and advanced undergraduates.
1. Students will learn signal and image processing such as Fourier transform using both mathematical analysis and numerical computation (with MATLAB).
2. Students will develop an understanding of physical and biological principles of multiscale imaging for the diagnosis of complex diseases and learn how to apply signal/image processing approaches to extract information from medical images. By combing medical imaging physics and image analysis technique, students will gain a comprehensive knowledge of a variety of imaging modalities and the data analysis approaches.
3. Students will form a collaborative learning environment for developing and evaluating image processing methods to process and interpret biomedical images.