Software development program for the fast prototyping of applications of focused ultrasound guided by magnetic resonance imaging

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High Intensity Focused ultrasound (HIFU) is a technique where mechanical energy is concentrated in a small volume. This concentration can be used to induce several bio-effects in biological tissue including absorption, radiation-force streaming or cavitation. Magnetic resonance imaging (MRI) provides a precise volumetric image reconstruction and has become the preferred modality to guide HIFU since MRI can be used to monitor the absorption effects induced by HIFU. The combination of MRI and HIFU is known as MRgHIFU. Even if HIFU has proven being an effective option for therapeutic applications such as the treatment of uterine fibroids, a considerable amount of basic research has to be conducted to overcome challenges as reaching targets behind the rib cage and compensate organ movement. This research program will develop a technological platform for the fast prototyping of MRgHIFU applications. Traditionally, most of models and imaging techniques have to be tested offline. The proposed platform will integrate elements already developed in my laboratory for the control of the MRI scanner and FUs devices located in our facilities. Also, I have developed several mathematical models for ultrasound propagation and bio-effects running in graphic processors. These models will be upgraded to increase precision of prediction, such the use of methods based on spectral decomposition for sound propagation and prediction of bio-effects in deformable organs. The proposed program will continue to offer opportunities for graduate studies in the areas of control of devices, image processing, mathematical modeling and high performance computing. The type of projects that will be possible with this platform will include closed-loop control algorithms for hyperthermia effects, MRI-based elasticity imaging for control of FUs energy and tracking of moving objects. The impact of this research program in the area of MRgHIFU and MRI will be considerable since this program will establish a very efficient technological platform to test and optimize the new generation of applications of MRgHIFU.