Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography
X-ray computed tomography (CT) reconstructs the internal morphology of a three dimensional object from a collection of projection images, most commonly using a single rotation axis. However, for objects containing dense materials like metal, the use of a single rotation axis may leave some regions o...
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Zusammenfassung: | X-ray computed tomography (CT) reconstructs the internal morphology of a
three dimensional object from a collection of projection images, most commonly
using a single rotation axis. However, for objects containing dense materials
like metal, the use of a single rotation axis may leave some regions of the
object obscured by the metal, even though projections from other rotation axes
(or poses) might contain complementary information that would better resolve
these obscured regions.
In this paper, we propose pixel-weighted Multi-pose Fusion to reduce metal
artifacts by fusing the information from complementary measurement poses into a
single reconstruction. Our method uses Multi-Agent Consensus Equilibrium
(MACE), an extension of Plug-and-Play, as a framework for integrating
projection data from different poses. A primary novelty of the proposed method
is that the output of different MACE agents are fused in a pixel-weighted
manner to minimize the effects of metal throughout the reconstruction. Using
real CT data on an object with and without metal inserts, we demonstrate that
the proposed pixel-weighted Multi-pose Fusion method significantly reduces
metal artifacts relative to single-pose reconstructions. |
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DOI: | 10.48550/arxiv.2406.17897 |