3-D X-Ray-Induced Acoustic Computed Tomography With a Spherical Array: A Simulation Study on Bone Imaging

X-ray-induced acoustic computed tomography (XACT) is a promising imaging modality combining high X-ray absorption contrast with the 3-D propagation advantages provided by high-resolution ultrasound waves. The purpose of this study was to optimize the configuration of a 3-D XACT imaging system for bo...

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Published in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control Vol. 67; no. 8; pp. 1613 - 1619
Main Authors: Li, Yang, Samant, Pratik, Wang, Siqi, Behrooz, A., Li, Dengwang, Xiang, Liangzhong
Format: Journal Article
Language:English
Published: United States IEEE 01.08.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0885-3010, 1525-8955, 1525-8955
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Summary:X-ray-induced acoustic computed tomography (XACT) is a promising imaging modality combining high X-ray absorption contrast with the 3-D propagation advantages provided by high-resolution ultrasound waves. The purpose of this study was to optimize the configuration of a 3-D XACT imaging system for bone imaging. A 280 ultrasonic sensors with peak frequency of 10 MHz was designed to distribute on a spherical surface to optimize the 3-D volumetric imaging capability. We performed both theoretical calculations and simulations of this optimized XACT imaging configuration on a mouse-sized digital phantom containing various X-ray absorption coefficients. Iteration algorithm based on total variation has been used for 3-D XACT image reconstruction. The spatial resolution of imaging was estimated to about <inline-formula> <tex-math notation="LaTeX">130~\mu \text{m} </tex-math></inline-formula> along both axial and lateral directions. We simulate XACT imaging of bone microstructures using digital phantoms generated from micro-CT images of real biological samples, showing that XACT imaging can provide high-resolution imaging of the mouse paw. Results of this study will greatly enhance the potential of XACT imaging in the evaluation of bone diseases for future clinical use.
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ISSN:0885-3010
1525-8955
1525-8955
DOI:10.1109/TUFFC.2020.2983732