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A bilinear model for temporally coherent respiratory motion
ConferencePaper (Artikel, die in Tagungsbänden erschienen sind)
ID 3128963
Author(s) Preiswerk, Frank; Cattin, Philippe C.
Author(s) at UniBasel Cattin, Philippe Claude
Year 2014
Year: comment 2014
Title A bilinear model for temporally coherent respiratory motion
Editor(s) Workshop on Abdominal Imaging: Computational Challenges and Clinical Applications
Book title (Conference Proceedings) Abdominal imaging : computational and clinical applications ; 6th international workshop, ABDI 2014, held in conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014
Volume 8676
Place of Conference MICCAI , Cambridge, MA, USA
Year of Conference 2014
Publisher Springer
Place of Publication Cham
Pages S. 221-228
Abstract We propose a bilinear model of respiratory organ motion. The advantages of classical statistical shape modelling are combined with a preconditioned trajectory basis for separately modelling the shape and motion components of the data. The separation of a linear basis into bilinear form leads to a more compact representation of the underlying physical process and the resulting model respects the temporal regularity within the training data, which is an important property for modelling quasi-periodic data. Bilinear modelling is combined with a Bayesian reconstruction algorithm for sparse data under observation noise. By applying the model to liver motion data, we show that our bilinear formulation of respiratory motion is significantly more parsimonious and can even outperform linear PCA-based models.
Full Text on edoc No
Digital Object Identifier DOI 10.1007/978-3-319-13692-9_21
ISI-Number WOS:000354696800021
Additional Information Also published in: Lecture notes in computer science. - Cham : Springer. - 8676 (2014), S. 221-228

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