Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Computational Biomechanics for Medicine II. A MICCAI 2007 Workshop, 29 October - 2 November 2007, Brisbane, Australia |
| Place of Publication | Australia, Brisbane |
| Pages | xxx-xxx |
| Publication status | Published - 2007 |
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Purely Evidence Based Multiscale Cardiac Tracking Using Optic Flow. / Assen, van, H.C.; Florack, L.M.J.; Suinesiaputra, A.; Westenberg, J.J.M.; Haar Romenij, ter, B.M.
Proceedings of the Computational Biomechanics for Medicine II. A MICCAI 2007 Workshop, 29 October - 2 November 2007, Brisbane, Australia. Australia, Brisbane, 2007. p. xxx-xxx.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Purely Evidence Based Multiscale Cardiac Tracking Using Optic Flow
AU - Assen, van, H.C.
AU - Florack, L.M.J.
AU - Suinesiaputra, A.
AU - Westenberg, J.J.M.
AU - Haar Romenij, ter, B.M.
PY - 2007
Y1 - 2007
N2 - Heart disease can negatively influence cardiac pump function. To assess cardiac tissue function, a method based on classical optical flow theory applied in the spectral domain is presented. Assumption of pixel intensity conservation is replaced by assumption of spatial phase conservation. Simultaneous application to two independent observations of the same optical flow field removes the necessity of additional constraints (i.e. flow field smoothness, normal flow) to solve the optical flow constraint equation (OFCE). Using the 1st order Taylor expansion of the OFCE, our system yields not only pixel displacements, but also the 1st order differential structure of the displacements (i.e. strains), which otherwise should be calculated as a post-processing step.Operation at pixel level obviates the need for interpolation of tag lines or sparse flow field representation. Experiments show coherent flow fields of a human cardiac systole. Comparison with velocity encoded MRI shows a good resemblance.
AB - Heart disease can negatively influence cardiac pump function. To assess cardiac tissue function, a method based on classical optical flow theory applied in the spectral domain is presented. Assumption of pixel intensity conservation is replaced by assumption of spatial phase conservation. Simultaneous application to two independent observations of the same optical flow field removes the necessity of additional constraints (i.e. flow field smoothness, normal flow) to solve the optical flow constraint equation (OFCE). Using the 1st order Taylor expansion of the OFCE, our system yields not only pixel displacements, but also the 1st order differential structure of the displacements (i.e. strains), which otherwise should be calculated as a post-processing step.Operation at pixel level obviates the need for interpolation of tag lines or sparse flow field representation. Experiments show coherent flow fields of a human cardiac systole. Comparison with velocity encoded MRI shows a good resemblance.
M3 - Conference contribution
SP - xxx-xxx
BT - Proceedings of the Computational Biomechanics for Medicine II. A MICCAI 2007 Workshop, 29 October - 2 November 2007, Brisbane, Australia
CY - Australia, Brisbane
ER -