Abstract
A key problem in the practical use of high intensity focused ultrasound (HIFU) as a tool for cancer treatment is the non-invasive characterization of the regions of tissue that have successfully been necrosed. Previously, we proposed an approach to image guidance, based on the use of RF data obtained from a diagnostic ultrasound transducer and a shape-based inverse scattering approach. Specifically, it was assumed that the lesion has an ellipsoidal shape defined by its center, size, orientation, and contrast (in sound-speed and attenuation) compared to the background. An inverse-type method was used to identify the ellipsoid parameters from the RF data. In this work we explore the robustness of this approach to a variety of conditions likely to be encountered in practice, specifically, the presence of an aberatting layer in the path, the formation of non-ellipsoidal lesions, for example, a ‘‘tadpole’’ shaped lesion that is commonly formed during HIFU, and the presence of multiple objects. Experiments using a clinical scanner and tissue phantoms are reported and we evaluate the method’s efficiency to different shapes and number of objects. [Work supported by NIH and CenSSIS.]
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