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Conference papers
Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data
Abstract : We propose a variational approach for simultaneous reconstruction and multiclass segmentation of X-ray CT images, with limited field of view and missing data. We propose a simple energy minimi-sation approach, loosely based on a Bayesian rationale. The resulting non convex problem is solved by alternating reconstruction steps using an iterated relaxed proximal gradient, and a proximal approach for the segmentation. Preliminary results on synthetic data demonstrate the potential of the approach for synchrotron imaging applications.
Cited literature [12 references]
https://hal-normandie-univ.archives-ouvertes.fr/hal-02118564
Contributor : Yvain Queau <>
Submitted on : Friday, May 3, 2019 - 10:36:59 AM
Last modification on : Wednesday, January 22, 2020 - 2:52:03 PM
Contributor : Yvain Queau <>
Submitted on : Friday, May 3, 2019 - 10:36:59 AM
Last modification on : Wednesday, January 22, 2020 - 2:52:03 PM
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