MRI-guided robotics at the U of Houston: evolving methodologies for interventions and surgeries.
Currently, we witness the rapid evolution of minimally invasive surgeries (MIS) and image guided interventions (IGI) for offering improved patient management and cost effectiveness. It is well recognized that sustaining and expand this paradigm shift would require new computational methodology that integrates sensing with multimodal imaging, actively controlled robotic manipulators, the patient and the operator. Such approach would include (1) assessing in real-time tissue deformation secondary to the procedure and physiologic motion, (2) monitoring the tool(s) in 3D, and (3) on-the-fly update information about the pathophysiology of the targeted tissue. With those capabilities, real time image guidance may facilitate a paradigm shift and methodological leap from "keyhole" visualization (i.e. endoscopy or laparoscopy) to one that uses a volumetric and informational rich perception of the Area of Operation (AoO). This capability may eventually enable a wider range and level of complexity IGI and MIS.
Tsekos
Nikolaos V
NV
Medical Robotics Laboratory at the Department of Computer Science, University of Houston, 4800 Calhoun, Houston, TX 77204-3010, USA. ntsekos@cs.uh.edu
D005544:Forecasting; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods* / Q000639:trends*; D012371:Robotics / Q000295:instrumentation / Q000379:methods* / Q000639:trends*; D025321:Surgery, Computer-Assisted / Q000295:instrumentation / Q000379:methods* / Q000639:trends*; D013781:Texas