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An ultrasonic sensing and indentation apparatus for assessment of tissue geometry and mechanical properties

Author(s)
Liu, Zixi, M. Eng. Massachusetts Institute of Technology
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Hugh M. Herr.
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MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Measuring the distance from the skin to the bone and soft tissue mechanical properties is important to custom designing prosthetic sockets for amputee patients using a computer aided method. The current state-of-the-art method to obtain such information is via MRI scans. However, MRI scans are expensive, not widely accessible, and may not be as accurate if there is a time gap between when the MRI scan is taken and when the design process takes place. In this thesis, I designed and implemented a hand-held apparatus which measures both the skin-to-bone depth and soft tissue mechanical properties. With a PC interface, this method involves gathering and processing data from an ultrasound transducer, a force sensor, and an accelerometer. The procedure of use involves rotating the apparatus around the limb while maintaining a light contact to acquire skin-to-bone depth, and indenting the apparatus into the limb to acquire soft tissue mechanical properties. Here I show that a miniaturized apparatus as such can measure tissue boundaries and tissue indentation with sub-millimeter precision and out performs a commercial ultrasound imaging system in my case study, which makes custom computer prosthetic socket design easier, more affordable, and more accessible.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 169-171).
 
Date issued
2017
URI
http://hdl.handle.net/1721.1/119592
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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