Paper
25 February 2012 Ultrasound imaging software framework for real-time monitoring of acoustic ablation therapy
Author Affiliations +
Abstract
The concern with interstitial ablative therapy for a treatment of hepatic tumors has been growing. In spite of advances in these therapies, there are several technical challenges due to tissue deformation and target motion: localization of the tumor and monitoring for ablator's tip and thermal dose in heated tissue. In the previous work, a steerable acoustic ablator, called ACUSITT, for targeting of ablation tip accurately into tumor area has been developed. However, real-time monitoring techniques for providing image feedback of the ablation tip positioning and thermal dose deposited in the tissue by heating are still needed. In this paper, a new software framework for real-time monitoring ablative therapy during pre- and intra-operation is presented. The software framework provides ultrasound Brightness Mode (B-Mode) image and elastography simultaneously and with real-time. A position of ablator's tip and a region of heated tissue are monitored on B-Mode image, because the image represents tissue morphology. Furthermore, ultrasound elasticity image is used for finding a boundary and region of tumor on pre-ablation, and monitoring thermal dose in tissue during ablation. By providing B-Mode image and elastography at the same time, reliable information for monitoring thermal therapy can be offered.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hyun-Jae Kang, Nishikant P. Deshmukh, Philipp Stolka, E. Clif Burdette, and Emad M. Boctor "Ultrasound imaging software framework for real-time monitoring of acoustic ablation therapy", Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 83201E (25 February 2012); https://doi.org/10.1117/12.912362
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Ultrasonography

Tissues

Elastography

Acoustics

Software frameworks

Tumors

Image filtering

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