Poster + Paper
1 April 2024 Investigation of correction and decomposition algorithms in bedside x-ray imaging simulating a multi-layer flat panel detector
Author Affiliations +
Conference Poster
Abstract
Recently introduced multi-layer flat panel detectors (FPDs) enable single acquisition spectral radiography. We perform an in-depth simulation study to investigate different decomposition algorithms under the influence of adipose tissue and scattered radiation using physics-based material decomposition algorithms for the task of bone removal. We examine a matrix-based material decomposition (MBMD) under assumption of monoenergetic X-ray spectra (equivalent to weighted logarithmic subtraction (WLS)), a matrix-based material decomposition with polynomial beam hardening pre-correction (MBMD-PBC) and a projection domain decomposition (PDD). The simulated setup corresponds to an intensive care unit (ICU) anterior posterior (AP) bedside chest examination (contact scan). The limitations of the three algorithms are evaluated using a high-fidelity X-ray simulator with five phantom realizations that differ in terms of added adipose tissue. For each simulated phantom realization, different amounts of scatter correction are considered, ranging from no correction at all to an ideal scatter correction. Unless quantitative imaging is required, the three algorithms are capable of removing bone structures when adipose tissue is present. Bone removal using a multi-layer FPDs in an ICU setup is feasible. However, uncorrected scatter can lead to bone structures becoming visible in the soft tissue image. This indicates the need for accurate scatter estimation and correction algorithms, especially when using quantitative algorithms such as PDD.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jamin Schaefer, Stephen Z. Liu, Steffen Kappler, Ferdinand Lueck, Ludwig Ritschl, Thomas Weber, Wojciech Zbijewski, and Georg Rose "Investigation of correction and decomposition algorithms in bedside x-ray imaging simulating a multi-layer flat panel detector", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 1292536 (1 April 2024); https://doi.org/10.1117/12.3006758
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KEYWORDS
Bone

Monte Carlo methods

Adipose tissue

Sensors

Detection and tracking algorithms

Attenuation

Computer simulations

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