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Abstract #4298

Automated Treatment of 3D Tumor Volume with Adaptive Model-Predictive Controller in vivo

1School of Computing, University of Utah, Salt Lake City, UT, United States; 2Utah Center for Advanced Imaging Research, Salt Lake City, UT, United States; 3Department of Radiology, University of Utah, Salt Lake City, UT, United States; 4Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, United States

 

Keywords

ablated ablation adapted adaptive adapts advanced advancing allowed anatomical arrangement assigned automate automated automatically award beam black cell cells central chair circled circles city clinician clinicians combined completely complex computing configurable configuration configured configures consisting controller cooled cooling critical deliver delivered difficult dose dynamically effective efficient efficiently endowed engineering ensured exceeds experimental exponential feedback final fixed focal focused foundation generation giving grants guided healthy heating highly human huntsman identification identifying in vivo indicate individual intensity iris lake lengthy leverages location makes making mark mechanical modality model muscle next nick nine noninvasive obviating optimized overlaid patient position predict predicted prediction predictions predictive preserving progresses properties protected protecting pulse pulses quickly rabbit radiology reached reaching receiving reliably representative required safe safely safety salt saved school segmented sequentially setup shutting simulations slice specified spot still subdivided successfully supervisory surgery target task temperature thermal thigh threshold tissue treated treatment treatments tumor tumors types ultrasound volume volumes zone