Towards ultrasound travel time tomography for quantifying human limb geometry and material properties
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Author(s)
Fincke, Jonathan Randall
Zhang, Xiang
Anthony, Brian
Feigin, Micha
Prieto Gomez, German A.
Date Issued
April 2016
Journal
Medical Imaging 2016: Ultrasonic Imaging and Tomography
Publisher
SPIE
Citation
Fincke, Jonathan R., et al. “Towards Ultrasound Travel Time Tomography for Quantifying Human Limb Geometry and Material Properties.”Medical Imaging 2016: Ultrasonic Imaging and Tomography, February 2016, San Diego, California, USA, edited by Neb Duric and Brecht Heyde, SPIE, April 2016 © 2016 Society of Photo-Optical Instrumentation Engineers
Version
Final published version
Abstract
Sound speed inversions made using simulated time of flight data from a numerical limb-mimicking phantom comprised of soft tissue and a bone inclusion demonstrate that wave front tracking forward modeling combined with 𝐿1 regularization could lead to accurate estimates of bone sound-speed. Ultrasonic tomographic imaging of limbs has the potential to impact prosthetic socket fitting, as well as detect and track muscular dystrophy diseases, osteoporosis and bone fractures at low cost and without radiation exposure. Research in ultrasound tomography of bones has increased in the last 10 years, however, methods delivering clinically useful sound-speed inversions are lacking. Inversions for the sound-speed of the numerical phantoms using 𝐿1 and 𝐿2 regularizations are compared using wave front forward models. The simulations are based on a custom-made cylindrically-scanning tomographic medical ultrasound system (0.5 – 5 MHz) consisting of two acoustic transducers capable of collecting pulse echo and travel time measurements over the entire 360° aperture. Keywords: Ultrasound tomography, bone, migration, reverse time migration
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Massachusetts Institute of Technology. Department of Mechanical Engineering
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1117/12.2218387
