Refinement of motion correction strategies for lower-cost CT for under-resourced regions of the world

Jered R. Wells; W. Paul Segars; Christopher J. N. Kigongo; James T. Dobbins III

doi:10.1117/12.878697

16 March 2011 Refinement of motion correction strategies for lower-cost CT for under-resourced regions of the world

Jered R. Wells, W. Paul Segars, Christopher J. N. Kigongo, James T. Dobbins III

Proceedings Volume 7961, Medical Imaging 2011: Physics of Medical Imaging; 796133 (2011) https://doi.org/10.1117/12.878697
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

This paper describes a recently developed post-acquisition motion correction strategy for application to lower-cost computed tomography (LCCT) for under-resourced regions of the world. Increased awareness regarding global health and its challenges has encouraged the development of more affordable healthcare options for underserved people worldwide. In regions such as sub-Saharan Africa, intermediate level medical facilities may serve millions with inadequate or antiquated equipment due to financial limitations. In response, the authors have proposed a LCCT design which utilizes a standard chest x-ray examination room with a digital flat panel detector (FPD). The patient rotates on a motorized stage between the fixed cone-beam source and FPD, and images are reconstructed using a Feldkamp algorithm for cone-beam scanning. One of the most important proofs-of-concept in determining the feasibility of this system is the successful correction of undesirable motion. A 3D motion correction algorithm was developed in order to correct for potential patient motion, stage instabilities and detector misalignments which can all lead to motion artifacts in reconstructed images. Motion will be monitored by the radiographic position of fiducial markers to correct for rigid body motion in three dimensions. Based on simulation studies, projection images corrupted by motion were re-registered with average errors of 0.080 mm, 0.32 mm and 0.050 mm in the horizontal, vertical and depth dimensions, respectively. The overall absence of motion artifacts in motion-corrected reconstructions indicates that reasonable amounts of motion may be corrected using this novel technique without significant loss of image quality.

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Jered R. Wells, W. Paul Segars, Christopher J. N. Kigongo, and James T. Dobbins III "Refinement of motion correction strategies for lower-cost CT for under-resourced regions of the world", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796133 (16 March 2011); https://doi.org/10.1117/12.878697

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KEYWORDS

Reconstruction algorithms

X-ray computed tomography

Sensors

3D image reconstruction

3D image processing

Image quality

Computed tomography

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