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Immersive Image Mining in Cardiology
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Author(s): Xiaoqiang Liu (Delft University of Technology, The Netherlands and Donghua University, China), Henk Koppelaar (Delft University of Technology, The Netherlands), Ronald Hamers (Erasmus Medical Thorax Center, The Netherlands)and Nico Bruining (Erasmus Medical Thorax Center, The Netherlands)
Copyright: 2005
Pages: 7
Source title:
Encyclopedia of Data Warehousing and Mining
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-59140-557-3.ch111
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Abstract
Buried within the human body, the heart prohibits direct inspection, so most knowledge about heart failure is obtained by autopsy (in hindsight). Live immersive inspection within the human heart requires advanced data acquisition, image mining and virtual reality techniques. Computational sciences are being exploited as means to investigate biomedical processes in cardiology.
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