@inproceedings{b73a8b2ac04b4e0c8bc374f994ff27fb,
title = "Iterative motion compensation approach for ultrasonic thermal imaging",
abstract = "As thermal imaging attempts to estimate very small tissue motion (on the order of tens of microns), it can be negatively influenced by signal decorrelation. Patient's breathing and cardiac cycle generate shifts in the RF signal patterns. Other sources of movement could be found outside the patient's body, like transducer slippage or small vibrations due to environment factors like electronic noise. Here, we build upon a robust displacement estimation method for ultrasound elastography and we investigate an iterative motion compensation algorithm, which can detect and remove non-heat induced tissue motion at every step of the ablation procedure. The validation experiments are performed on laboratory induced ablation lesions in ex-vivo tissue. The ultrasound probe is either held by the operator's hand or supported by a robotic arm. We demonstrate the ability to detect and remove non-heat induced tissue motion in both settings. We show that removing extraneous motion helps unmask the effects of heating. Our strain estimation curves closely mirror the temperature changes within the tissue. While previous results in the area of motion compensation were reported for experiments lasting less than 10 seconds, our algorithm was tested on experiments that lasted close to 20 minutes.",
author = "Ioana Fleming and Gregory Hager and Xiaoyu Guo and Kang, {Hyun Jae} and Emad Boctor",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. {\textcopyright} 2015 SPIE.; Medical Imaging 2015: Ultrasonic Imaging and Tomography ; Conference date: 22-02-2015 Through 23-02-2015",
year = "2015",
doi = "10.1117/12.2081241",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Neb Duric and Bosch, {Johan G.}",
booktitle = "Medical Imaging 2015",
}