Paulo Carvalho

About

Paulo Carvalho is a leading figure in the field of MRI-guided robotic surgery, with a particular focus on developing systems for precise, minimally invasive interventions in the brain. His research integrates advanced robotics, medical imaging, and therapeutic ultrasound to create closed-loop systems that can navigate the challenging environment of an MRI scanner. Carvalho’s major contributions include the mechanical validation of an MRI-compatible stereotactic neurosurgery robot (46 citations) and the preclinical evaluation of an integrated robotic system for MRI-guided neuroablation (32 citations). He has also pioneered work in closed-loop active compensation for needle deflection during cooperatively controlled robotic insertion (31 citations), addressing a critical challenge in precision needle-based procedures. Beyond neurosurgery, Carvalho has explored assistive robotics, including the design of hand exoskeletons for traumatic brain injury patients (23 citations) and a robotic device for phlebotomy (8 citations). His work on modeling interstitial ultrasound ablation and predicting ablation zones using MR thermal imaging (9 citations) further underscores his impact on thermal therapy. With over 175 total citations, Carvalho’s research is advancing the frontier of image-guided, robot-assisted interventions.

Research Focus

Key Achievements

Top Papers

1. 1
   Mechanical validation of an MRI compatible stereotactic neurosurgery robot in preparation for pre-clinical trials

   46 citations · 2017
2. 2
   An Integrated Robotic System for MRI-Guided Neuroablation: Preclinical Evaluation

   32 citations · 2020
3. 3
   Closed-Loop Active Compensation for Needle Deflection and Target Shift During Cooperatively Controlled Robotic Needle Insertion

   31 citations · 2018
4. 4
   Design Criteria for Hand Exoskeletons: Measurement of Forces Needed to Assist Finger Extension in Traumatic Brain Injury Patients

   23 citations · 2018
5. 5
   Modeling of Interstitial Ultrasound Ablation for Continuous Applicator Rotation With MR Validation

   12 citations · 2020
6. 6
   Predicting ablation zones with multislice volumetric 2-D magnetic resonance thermal imaging

   9 citations · 2021
7. 7
   Robotic Assistive Device for Phlebotomy

   8 citations · 2015
8. 8
   Cyther: a Human-playable, Self-tuning Robotic Zither

   5 citations · 2017
9. 9
   Study of MRI Compatible Piezoelectric Motors by Finite Element Modeling and High-Speed Digital Holography

   5 citations · 2019
10. 10
    Demonstration and Experimental Validation of Plastic-Encased Resonant Ultrasonic Piezoelectric Actuator for Magnetic Resonance Imaging-Guided Surgical Robots

    4 citations · 2019

Key Collaborators

Contact & Links