
Proceedings Paper
Transrectal ultrasound-waveform tomography using plane-wave ultrasound reflection data for prostate cancer imagingFormat | Member Price | Non-Member Price |
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Paper Abstract
Ultrasound tomography is to reconstruct tissue mechanical properties using ultrasound signals for cancer characterization. We study the capability of plane-wave ultrasound-waveform inversion to reconstruct sound-speed values of prostate tumors. Our ultrasound-waveform inversion algorithm iteratively fits synthetic ultrasound waveforms with recorded ultrasound waveforms starting from an initial model. We verify the algorithm using synthetic ultrasound data for numerical prostate phantoms consisting of multiple tumors in homogeneous and heterogeneous background prostate tissues. Our reconstruction results demonstrate that our new plane-wave transrectal ultrasound-waveform tomography has the potential to accurately reconstruct the sound-speed values of prostate tumors for cancer characterization. In addition, we build a new transrectal ultrasound tomography prototype using a 256-channel Verasonics Vantage system and a GE intracavitary curved linear array to acquire plane-wave ultrasound reflection data for transrectal ultrasound tomography.
Paper Details
Date Published: 9 March 2018
PDF: 9 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105732I (9 March 2018); doi: 10.1117/12.2293956
Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)
PDF: 9 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105732I (9 March 2018); doi: 10.1117/12.2293956
Show Author Affiliations
Lianjie Huang, Los Alamos National Lab. (United States)
Kai Gao, Los Alamos National Lab. (United States)
Kai Gao, Los Alamos National Lab. (United States)
Yunsong Huang, Los Alamos National Lab. (United States)
Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)
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