Mr. Ajay Anand Profile

Ajay Anand

at Univ of Washington

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Proceedings Article | 23 May 2003 Paper

Using the ATL HDI 1000 to collect demodulated RF data for monitoring HIFU lesion formation

Ajay Anand, Peter Kaczkowski, Ron Daigle, Lingyun Huang, Marla Paun, Kirk Beach, Lawrence Crum

Proceedings Volume 5035, (2003) https://doi.org/10.1117/12.479879

KEYWORDS: Data acquisition, Imaging systems, Ultrasonography, Tissues, Algorithm development, Software development, Scanners, Control systems, Image compression, Signal processing

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The ability to accurately track and monitor the progress of lesion formation during HIFU (High Intensity Focused Ultrasound) therapy is important for the success of HIFU-based treatment protocols. To aid in the development of algorithms for accurately targeting and monitoring formation of HIFU induced lesions, we have developed a software system to perform RF data acquisition during HIFU therapy using a commercially available clinical ultrasound scanner (ATL HDI 1000, Philips Medical Systems, Bothell, WA). The HDI 1000 scanner functions on a software dominant architecture, permitting straightforward external control of its operation and relatively easy access to quadrature demodulated RF data. A PC running a custom developed program sends control signals to the HIFU module via GPIB and to the HDI 1000 via Telnet, alternately interleaving HIFU exposures and RF frame acquisitions. The system was tested during experiments in which HIFU lesions were created in excised animal tissue. No crosstalk between the HIFU beam and the ultrasound imager was detected, thus demonstrating synchronization. Newly developed acquisition modes allow greater user control in setting the image geometry and scanline density, and enables high frame rate acquisition. This system facilitates rapid development of signal-processing based HIFU therapy monitoring algorithms and their implementation in image-guided thermal therapy systems. In addition, the HDI 1000 system can be easily customized for use with other emerging imaging modalities that require access to the RF data such as elastographic methods and new Doppler-based imaging and tissue characterization techniques.

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