• 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