Paper
15 April 2010 Application and evaluation of novel optical-flow-based motion correction algorithms to breast MRI
Author Affiliations +
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guillermo Botilla, Anke Meyer Bäse, and Uwe Meyer Bäse "Application and evaluation of novel optical-flow-based motion correction algorithms to breast MRI", Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 77040D (15 April 2010); https://doi.org/10.1117/12.849905
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Breast

Magnetic resonance imaging

Optical flow

Convolution

Motion models

Velocity measurements

Visualization

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