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2018 | OriginalPaper | Chapter

Phase-Sensitive Region-of-Interest Computed Tomography

Authors : Lina Felsner, Martin Berger, Sebastian Kaeppler, Johannes Bopp, Veronika Ludwig, Thomas Weber, Georg Pelzer, Thilo Michel, Andreas Maier, Gisela Anton, Christian Riess

Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Publisher: Springer International Publishing

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Abstract

X-Ray Phase-Contrast Imaging (PCI) yields absorption, differential phase, and dark-field images. Computed Tomography (CT) of grating-based PCI can in principle provide high-resolution soft-tissue contrast. Recently, grating-based PCI took several hurdles towards clinical implementation by addressing, for example, acquisition speed, high X-ray energies, and system vibrations. However, a critical impediment in all grating-based systems lies in limits that constrain the grating diameter to few centimeters.
In this work, we propose a system and a reconstruction algorithm to circumvent this constraint in a clinically compatible way. We propose to perform a phase-sensitive Region-of-Interest (ROI) CT within a full-field absorption CT. The biggest advantage of this approach is that it allows to correct for phase truncation artifacts, and to obtain quantitative phase values. Our method is robust, and shows high-quality results on simulated data and on a biological mouse sample. This work is a proof of concept showing the potential to use PCI in CT on large specimen, such as humans, in clinical applications.

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Metadata
Title
Phase-Sensitive Region-of-Interest Computed Tomography
Authors
Lina Felsner
Martin Berger
Sebastian Kaeppler
Johannes Bopp
Veronika Ludwig
Thomas Weber
Georg Pelzer
Thilo Michel
Andreas Maier
Gisela Anton
Christian Riess
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-030-00928-1_16

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