2024
In Vivo Feasibility Study: Evaluating Autonomous Data-Driven Robotic Needle Trajectory Correction in MRI-Guided Transperineal Procedures
Mariana C. Bernardes, Pedro Moreira, Dimitri A. Lezcano, Lori Foley, Kemal Tuncali, Clare M. Tempany +4
RA-L 2024
This study addresses the targeting challenges in MRI-guided transperineal needle placement for prostate cancer (PCa) diagnosis and treatment, a procedure where accuracy is crucial for effective outcomes. We introduce a parameter-agnostic trajectory correction approach incorporating a data-driven clo