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Dimitri A. Lezcano

3 accepted papers

2024

FBG-based Shape-Sensing to Enable Lateral Deflection Methods of Autonomous Needle Insertion

IROS 2024

In diagnosing and treating prostate cancer the flexible bevel tip needle insertion surgical technique is commonly used. Bevel tip needles experience asymmetric loading on the needle's tip, inducing natural bending of the needle and enabling control mechanisms for precise placement of the needle duri

Cited by 1SourceScholar
2024

In Vivo Feasibility Study: Evaluating Autonomous Data-Driven Robotic Needle Trajectory Correction in MRI-Guided Transperineal Procedures

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

Cited by 8SourceScholar
2022

Toward FBG-Sensorized Needle Shape Prediction in Tissue Insertions

IROS 2022poster

Complex needle shape prediction remains an issue for planning of surgical interventions of flexible needles. In this paper, we validate a theoretical method for flexible needle shape prediction allowing for non-uniform curvatures, extending upon a previous sensor-based model which combines curvature…

Cited by 5SourceScholar