Ego-motion Estimation for Low-cost Freehand Ultrasound Scanner
Ayusha Abbas, Jeffrey A. Neasham, Syed Mohsen Naqvi
Abstract
This paper describes work towards a very low-cost medical ultrasound imaging system using concepts of ego-motion estimation. This will enable a B-mode image to be constructed from a very simple probe with a single fixed beam which is either manually scanned across the skin (linear) or rotated against the skin (polar). In the case of a linear scan, an algorithm has been proposed which measures the decorrelation between successive scanlines to estimate probe velocity. With the aid of an Unscented Kalman Filter (UKF), this is used to reconstruct a geometrically correct 2D image of a resolution phantom which has well-defined image patterns for precise measurement of geometric accuracy. In the case of a polar scan, angular data obtained from a low cost MEMS gyroscope is used to reconstruct the image. Examples are also shown of data collected on human subjects, which show promising results for clinical diagnostics.
BibTeX
@inproceedings{icassp2019_egomotionestimat,
title = {Ego-motion Estimation for Low-cost Freehand Ultrasound Scanner},
author = {Ayusha Abbas and Jeffrey A. Neasham and Syed Mohsen Naqvi},
booktitle = {ICASSP 2019},
year = {2019}
}