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A bilinear model for temporally coherent respiratory motion

Preiswerk, Frank and Cattin, Philippe C.. (2014) A bilinear model for temporally coherent respiratory motion. In: Abdominal imaging : computational and clinical applications ; 6th international workshop, ABDI 2014, held in conjunction with MICCAI 2014, Cambridge, MA, USA, September 14, 2014. Cham, pp. 221-228.

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Official URL: http://edoc.unibas.ch/dok/A6390893

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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.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Bibsysno:Link to catalogue
Publisher:Springer
Note:Also published in: Lecture notes in computer science. - Cham : Springer. - 8676 (2014), S. 221-228 -- Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:03 Jul 2015 08:53
Deposited On:03 Jul 2015 08:53

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