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Proceedings Paper

Investigation of real-time remote palpation imaging
Author(s): Kathryn R. Nightingale; Mary Scott Soo; Roger W. Nightingale; Gregg E. Trahey
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Paper Abstract

We are investigating a novel ultrasonic method for remote palpation, which provides images of local variations in tissue stiffness. Acoustic radiation force is applied to small volumes of tissue, and the resulting displacement patterns are imaged using ultrasonic correlation based techniques. Tissue displacements are inversely proportional to tissue stiffness, thus a stiffer region of tissue exhibits smaller displacements than a more compliant region. This method also provides information about tissue recovery after force cessation. We will present in vivo experimental results demonstrating the feasability of this method. Using intensities ranging from 120 to 300 W/cm2, peak displacements of up to 50 microns were observed after 1.4 milliseconds of force application. The tissue moved to its peak displacement within 3 milliseconds of force application, and the time constants for tissue recovery varied with tissue type. Tissue displacements appeared to be correlated with tissue structure in matched B-mode images. To our knowledge, these results represent the first in vivo soft tissue images generated using radiation force. These findings support the feasibility of Remote Palpation imaging. We will discuss the technical, safety, and clinical challenges of implementing a real-time Remote Palpation imaging system on a commercial diagnostic scanner.

Paper Details

Date Published: 30 May 2001
PDF: 7 pages
Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); doi: 10.1117/12.428187
Show Author Affiliations
Kathryn R. Nightingale, Duke Univ. (United States)
Mary Scott Soo, Duke Univ. Medical Ctr. (United States)
Roger W. Nightingale, Duke Univ. (United States)
Gregg E. Trahey, Duke Univ. and Duke Univ. Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 4325:
Medical Imaging 2001: Ultrasonic Imaging and Signal Processing
Michael F. Insana; K. Kirk Shung, Editor(s)

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