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Proceedings Paper

Application and evaluation of novel optical-flow-based motion correction algorithms to breast MRI
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Paper Abstract

Vision is typically considered the primary and most important of all the human senses. Motion detection, being a noncontact sense, allows us to extract vast quantities of information about our environment remotely and safely. The main motivation of this research contribution is the implementation of an architecture of a biologically inspired motion algorithm tuned specially to correct optical flow (motion) to breast MRI. Neuromorphic engineering is used, borrowing nature's templates as inspiration in the design of algorithms and architectures. The architectures used can be enhanced using psychophysical and bioinspired properties according to biological vision in order to mimic the performance of the mammalians.

Paper Details

Date Published: 15 April 2010
PDF: 13 pages
Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 77040D (15 April 2010); doi: 10.1117/12.849905
Show Author Affiliations
Guillermo Botilla, Florida State Univ. (United States)
Anke Meyer Bäse, Florida State Univ. (United States)
Uwe Meyer Bäse, Florida State Univ. (United States)

Published in SPIE Proceedings Vol. 7704:
Evolutionary and Bio-Inspired Computation: Theory and Applications IV
Teresa H. O'Donnell; Misty Blowers; Kevin L. Priddy, Editor(s)

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