Share Email Print

Proceedings Paper

Robust dynamic programming method for ultrasound elastography
Author(s): Ioana Fleming; Hassan Rivaz; Emad Boctor; Gregory Hager
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Ultrasound elastography is an imaging technology which can detect differences in tissue stiffness based on tissue deformation. For successful clinical use in cancer diagnosis and monitoring the method should be robust to sources of decorrelation between ultrasound images. A regularized Dynamic Programming (DP) approach was used for displacement estimation in compressed tissue. In the Analytic Minimization (AM) extension of DP, integer displacements are calculated just for one RF-line, and later propagated laterally throughout the entire image. This makes the seed RF-line very important; faulty seed lines could propagate erroneous displacement values throughout the image resulting in the appearance of false "lesions". In this paper we analyze the robustness of this method in free-hand palpation of laboratory tissue phantoms. We are proposing an update to the algorithm which includes a random search for the most robust seed RF-line. Axial integer displacements are obtained on each random seed line individually with DP optimization. For each random axial RF-line, multiple random values for decorrelation compensation are used in the displacement estimation. The displacement values are then compared and several metrics of stability and consistency are considered. A ranking is established and the line deemed most robust will become the seed line for displacement propagation, while also selecting the most stable value for decorrelation compensation. The random search can be achieved at no additional computational cost in a parallel implementation. The results indicate significant improvement in the robustness of the DP approach, while maintaining real-time computation of strain images.

Paper Details

Date Published: 25 February 2012
PDF: 6 pages
Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 83201K (25 February 2012); doi: 10.1117/12.911879
Show Author Affiliations
Ioana Fleming, The Johns Hopkins Univ. (United States)
Hassan Rivaz, The Johns Hopkins Univ. (United States)
Emad Boctor, Johns Hopkins Medical Institutions (United States)
Gregory Hager, The Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 8320:
Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?