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An implementation of TDFFD and LDFFD algorithms

De Craene, Mathieu, Piella, Gemma
Universitat Pompeu Fabra
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3345
New: Prefer using the following doi: https://doi.org/10.54294/nens6m
Published in The Insight Journal - 2012 January-December.
Submitted by Mathieu De craene on 2012-03-09 04:39:30.

This paper describes the implementation of the LDFFD and TDFFD algorithms. Both quantify motion and deformation from an input image sequence by taking profit of the temporal dimension of velocity fields in the diffeomorphic registration framework to process the input image sequence as a single 3D+t object. The rationale behind these approaches is to formulate motion estimation in an image sequence as a multi-channel registration problem. This paper describes our implementation, currently following the original ITK registration framework without multi-threading and diffeomorphic registration framework. Migration to ITKv4 will be addressed in future work. We also provide code for computing strain on a segmentation represented as a VTK polydata mesh. Program usages for LDFFD and TDFFD as well as strain quantification results are given for one 3D ultrasound image sequence acquired on a healthy volunteer.