Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography

Fuente: arXiv

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Bibliographic Details
Main Authors:	Yang, Diyu, Kemp, Craig A. J., Majee, Soumendu, Buzzard, Gregery T., Bouman, Charles A.
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
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author	Yang, Diyu Kemp, Craig A. J. Majee, Soumendu Buzzard, Gregery T. Bouman, Charles A.
author_facet	Yang, Diyu Kemp, Craig A. J. Majee, Soumendu Buzzard, Gregery T. Bouman, Charles A.
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2406_17897
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography Yang, Diyu Kemp, Craig A. J. Majee, Soumendu Buzzard, Gregery T. Bouman, Charles A. Image and Video Processing 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.
title	Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography
topic	Image and Video Processing
url	https://arxiv.org/abs/2406.17897