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2008
IEEE

Simultaneous data volume reconstruction and pose estimation from slice samples

12 years 3 months ago
Simultaneous data volume reconstruction and pose estimation from slice samples
Modeling the dynamics of heart and lung tissue is challenging because the tissue deforms between data acquisitions. To reconstruct complete volumes, sample data captured at different times and locations must be combined. This paper presents a novel end-to-end, data driven framework for the complete reconstruction of deforming tissue volumes. This framework is a joint optimization over an undeformed tissue volume, a deformation map that describes tissue motion for given pose parameters (i.e. breathing and heartbeat), and an estimate of those parameters for each data acquisition. Tissue motion is modeled by deforming a reference volume with a cubic B-spline free form deformation, and we use Isomap to derive initial estimates of the pose of sample data. An iterative method is used to simultaneously solve for the reference volume and deformation map while updating the pose estimates. This same process is demonstrated on 4D CT lung data and heart/lung MR data.
Manfred Georg, Richard Souvenir, Andrew Hope, Robe
Added 12 Oct 2009
Updated 28 Oct 2009
Type Conference
Year 2008
Where CVPR
Authors Manfred Georg, Richard Souvenir, Andrew Hope, Robert Pless
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