AIR Option 1: Technology Translation - A Portable Treatment Planning System for MR-Guided Thermal Therapy

University Of Texas, M.D. Anderson Cancer Center, Houston TX

Investigators

Abstract

This PFI: AIR Technology Translation project focuses on translating high performance mathematical models of bioheat transfer for reliably and accurately predicting and visualizing the outcome of laser induced thermal therapy. Minimally-invasive laser ablation is a medical procedure that provides a means of rapidly delivering heat to target diseased tissue in the body and will be used in this project to kill focal cancerous lesions in brain as well as diseased neurological tissue, such as epilepsy. The translated computing technology has the following unique features: (1) the predictive capabilities of the prototype device will assist in minimizing the surgical impact on the patient and (2) the prototype device will be tightly coupled to existing FDA approved procedures in humans and rigorously validated to assure accurate predictions. This provides exemplary improvement in the efficacy of the procedure as no comparable technology currently exists and the neurosurgeon does not have the capability to a-priori visualize outcomes for complex treatment scenarios (multiple lasers/trajectories) near essential anatomical structures. The project accomplishes this goal by utilizing hybrid multi-core and GPU computing architectures combined with sophisticated mathematical algorithms resulting in a portable, aggressively parallel, medical image driven prototype simulation device. The partnership engages industry (BioTex Inc.) and academic centers (Rice University and MD Anderson) to provide guidance in this minimally invasive neurosurgical market space as well as to commercialize and validate the technology as they pertain to the potential to translate the high performance computing technology along a path that may result in a competitive commercial reality. The potential economic impact is expected to improve treatment effectiveness within the yearly greater than 200,000 brain tumor cases and greater than 1 million epilepsy cases in the U.S. Within a 5-yr timeframe, this will contribute to the U.S. competitiveness in this minimally invasive neurosurgical market space. The societal impact, long term, will provide novel computational and mathematical tools for improving the safety and efficacy of computer assisted image guided therapy for this important medical application.