Volume Reconstruction by Inverse Interpolation: Application to Interleaved MR Motion Correction

Authors:
Torsten Rohlfing;Martin H. Rademacher;Adolf Pfefferbaum
Affiliations:
Neuroscience Program, SRI International, Menlo Park, USA;Neuroscience Program, SRI International, Menlo Park, USA;Neuroscience Program, SRI International, Menlo Park, USA
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

We introduce in this work a novel algorithm for volume reconstruction from data acquired on an irregular grid, e.g., from multiple co-registered images. The algorithm, which is based on an inverse interpolation formalism, is superior to other methods in particular when the input images have lower spatial resolution than the reconstructed image. Local intensity bounds are enforced by an L-BFGS-B optimizer, regularize the reconstruction problem, and preserve the intensity distribution of the input images. We demonstrate the usefulness of our method by applying it to retrospective motion correction in interleaved MR images.