Title
Real-Time Vision-Based Stiffness Mapping.
Abstract
This paper presents new findings concerning a hand-held stiffness probe for the medical diagnosis of abnormalities during palpation of soft-tissue. Palpation is recognized by the medical community as an essential and low-cost method to detect and diagnose disease in soft-tissue. However, differences are often subtle and clinicians need to train for many years before they can conduct a reliable diagnosis. The probe presented here fills this gap providing a means to easily obtain stiffness values of soft tissue during a palpation procedure. Our stiffness sensor is equipped with a multi degree of freedom (DoF) Aurora magnetic tracker, allowing us to track and record the 3D position of the probe whilst examining a tissue area, and generate a 3D stiffness map in real-time. The stiffness probe was integrated in a robotic arm and tested in an artificial environment representing a good model of soft tissue organs; the results show that the sensor can accurately measure and map the stiffness of a silicon phantom embedded with areas of varying stiffness.
Year
DOI
Venue
2018
10.3390/s18051347
SENSORS
Keywords
Field
DocType
stiffness sensor,soft tissue characterization,hand-held probe,medical examination,palpation
Artificial environment,Computer vision,Robotic arm,Stiffness,Imaging phantom,Real time vision,Electronic engineering,Artificial intelligence,Palpation,Engineering,Soft tissue,Medical diagnosis
Journal
Volume
Issue
Citations 
18
5.0
0
PageRank 
References 
Authors
0.34
3
6
Name
Order
Citations
PageRank
Angela Faragasso1586.66
J Bimbo241.89
Agostino Stilli3588.71
Helge A. Wurdemann415111.63
Kaspar Althoefer5847112.87
Hajime Asama6826237.10