DocumentCode
2274783
Title
Visualizing brain images in an undergraduate signal processing course
Author
Cheng, Lin
Author_Institution
Eng. Dept., Trinity Coll., Hartford, CT, USA
fYear
2010
fDate
26-28 March 2010
Firstpage
1
Lastpage
2
Abstract
This paper describes a MRI brain image visualization approach for an undergraduate signal processing course in a liberal art college environment. Owing to the highly mathematical nature of signal processing theory, using visualized biomedical images may increase students´ curiosity in both the course itself and the biomedical science in general. The visualization tool is constructed with incremental level of difficulty, making it approachable by undergraduate students in a liberal art college environment. The students learn the basic elements of processing 2D and 3D signals by multi-dimensional visual tools. The proposed approach could effectively integrate biomedical knowledge (brain imaging, brain degeneration) into an undergraduate engineering course. It also provides an efficient approach to attract engineering students to interdisciplinary areas in biomedical science.
Keywords
biomedical MRI; biomedical engineering; brain; medical image processing; MRI brain image visualization; brain degeneration; multi-dimensional visual tools; undergraduate signal processing course; Art; Biomedical engineering; Biomedical imaging; Biomedical signal processing; Brain; Educational institutions; Magnetic resonance imaging; Multidimensional signal processing; Signal processing; Visualization; Biomedical engineering; brain imaging; image processing; liberal arts education; undergraduate education;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
Conference_Location
New York, NY
Print_ISBN
978-1-4244-6879-9
Type
conf
DOI
10.1109/NEBC.2010.5458254
Filename
5458254
Link To Document