Paper
18 March 2015 Feasibility of CT-based 3D anatomic mapping with a scanning-beam digital x-ray (SBDX) system
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Abstract
This study investigates the feasibility of obtaining CT-derived 3D surfaces from data provided by the scanning-beam digital x-ray (SBDX) system. Simulated SBDX short-scan acquisitions of a Shepp-Logan and a thorax phantom containing a high contrast spherical volume were generated. 3D reconstructions were performed using a penalized weighted least squares method with total variation regularization (PWLS-TV), as well as a more efficient variant employing gridding of projection data to parallel rays (gPWLS-TV). Voxel noise, edge blurring, and surface accuracy were compared to gridded filtered back projection (gFBP). PWLS reconstruction of a noise-free reduced-size Shepp-Logan phantom had 1.4% rRMSE. In noisy gPWLS-TV reconstructions of a reduced-size thorax phantom, 99% of points on the segmented sphere perimeter were within 0.33, 0.47, and 0.70 mm of the ground truth, respectively, for fluences comparable to imaging through 18.0, 27.2, and 34.6 cm acrylic. Surface accuracies of gFBP and gPWLS-TV were similar at high fluences, while gPWLS-TV offered improvement at the lowest fluence. The gPWLS-TV voxel noise was reduced by 60% relative to gFBP, on average. High-contrast linespread functions measured 1.25 mm and 0.96 mm (FWHM) for gPWLS-TV and gFBP. In a simulation of gated and truncated projection data from a full-sized thorax, gPWLS-TV reconstruction yielded segmented surface points which were within 1.41 mm of ground truth. Results support the feasibility of 3D surface segmentation with SBDX. Further investigation of artifacts caused by data truncation and patient motion is warranted.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jordan M. Slagowski, Michael T. Tomkowiak, David A. P. Dunkerley, and Michael A. Speidel "Feasibility of CT-based 3D anatomic mapping with a scanning-beam digital x-ray (SBDX) system", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 941209 (18 March 2015); https://doi.org/10.1117/12.2082052
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Cited by 2 scholarly publications and 2 patents.
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KEYWORDS
Image segmentation

Reconstruction algorithms

3D modeling

Sensors

X-rays

X-ray computed tomography

3D acquisition

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