11 April 2002 Comparison of ultrasound tomography methods in circular geometry
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Extremely high quality data was acquired using an experimental ultrasound scanner developed at Lawrence Livermore National Laboratory using a 2D ring geometry with up to 720 transmitter/receiver transducer positions. This unique geometry allows reflection and transmission modes and transmission imaging and quantification of a 3D volume using 2D slice data. Standard image reconstruction methods were applied to the data including straight-ray filtered back projection, reflection tomography, and diffraction tomography. Newer approaches were also tested such as full wave, full wave adjoint method, bent-ray filtered backprojection, and full-aperture tomography. A variety of data sets were collected including a formalin-fixed human breast tissue sample, a commercial ultrasound complex breast phantom, and cylindrical objects with and without inclusions. The resulting reconstruction quality of the images ranges from poor to excellent. The method and results of this study are described including like-data reconstructions produced by different algorithms with side-by-side image comparisons. Comparisons to medical B-scan and x-ray CT scan images are also shown. Reconstruction methods with respect to image quality using resolution, noise, and quantitative accuracy, and computational efficiency metrics will also be discussed.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard Leach, Richard Leach, Steve G. Azevedo, Steve G. Azevedo, James G. Berryman, James G. Berryman, Hugo Bertete-Aguirre, Hugo Bertete-Aguirre, David H. Chambers, David H. Chambers, Jeffrey E. Mast, Jeffrey E. Mast, Peter J. Littrup, Peter J. Littrup, Nebojsa Duric, Nebojsa Duric, Steven A. Johnson, Steven A. Johnson, Frank Wuebbeling, Frank Wuebbeling, } "Comparison of ultrasound tomography methods in circular geometry", Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); doi: 10.1117/12.462173; https://doi.org/10.1117/12.462173

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