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Proceedings Paper

Ultrasound imaging for cavitation detection during HIFU ablation in brain
Author(s): Tao Long; Viren Amin; Scott McClure; Ronald Roberts; Liangshou Wu; Matthew Heise; Timothy Ryken
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Paper Abstract

High intensity focused ultrasound (abbreviated as HIFU) has its potential in tumor treatment due to its non-invasive benefits. During HIFU exposure, cavitation (generation of gas bubbles) is often observed, which can be an indication of potential lesion created by HIFU power. Due to a large difference in ultrasound acoustic properties between the gas bubble and surrounding tissues, ultrasonic energy is reflected and scattered at the HIFU focus, thus indicating activity around the focal area and often interfering HIFU dosage delivery. A good understanding and control of cavitation phenomenon could potentially enhance the HIFU delivery and treatment outcomes. Quantifying the onset timing and extent of the cavitation could be potentially used for detecting HIFU effects and therapy guidance. In this paper, we study the relationships among HIFU parameters, the characteristics of cavitation quantified from ultrasound imaging, and characteristics of the final tissue lesion created by HIFU. In our study, we used 12 freshly excised pig brains in vitro for observation and analysis of cavitation activities during HIFU exposure with different HIFU parameters. Final lesions were examined by slicing the brain tissues into thin slices and 3D volume was constructed with segmentation of the lesion. HIFU parameters, cavitation activities through image processing and lesion characterization were correlated. We also present our initial understanding of the process of cavitation activities under certain HIFU parameters and control of such activities that could lead to optimal lesion

Paper Details

Date Published: 12 March 2007
PDF: 8 pages
Proc. SPIE 6513, Medical Imaging 2007: Ultrasonic Imaging and Signal Processing, 65131H (12 March 2007); doi: 10.1117/12.710843
Show Author Affiliations
Tao Long, Iowa State Univ. (United States)
Viren Amin, Iowa State Univ. (United States)
Scott McClure, Iowa State Univ. (United States)
Ronald Roberts, Iowa State Univ. (United States)
Liangshou Wu, Iowa State Univ. (United States)
Matthew Heise, Iowa State Univ. (United States)
Timothy Ryken, Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 6513:
Medical Imaging 2007: Ultrasonic Imaging and Signal Processing
Stanislav Y. Emelianov; Stephen A. McAleavey, Editor(s)

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