Giovanni Pittiglio

2023

1. 

   Collaborative Magnetic Manipulation via Two Robotically Actuated Permanent Magnets

   Giovanni Pittiglio, Michael Brockdorff, Tomas Veiga, and 3 more authors

   IEEE Transactions on Robotics, 2023

2. 

   Closed Loop Static Control of Multi-Magnet Soft Continuum Robots

   Giovanni Pittiglio, Andrew L. Orekhov, Tomas Veiga, and 4 more authors

   IEEE Robotics and Automation Letters, 2023

3. 

   Personalized magnetic tentacles for targeted photothermal cancer therapy in peripheral lungs

   Giovanni Pittiglio, James H. Chandler, Tomas Veiga, and 8 more authors

   Nature Communications Engineering, Jul 2023

   Abs

   Lung cancer remains one of the most life-threatening diseases and is currently managed through invasive approaches such as surgery, chemo- or radiotherapy. In this work, we introduce a novel method for the targeted delivery of a therapeutic laser for the treatment of tumors in peripheral areas of the lungs. The approach uses a 2.4\thinspacemm diameter, ultra-soft, patient-specific magnetic catheter delivered from the end of a standard bronchoscope to reach the periphery of the lungs. Integrated shape sensing facilitates supervised autonomous full-shape control for precise navigation into the sub-segmental bronchi, and an embedded laser fiber allows for treatment via localized energy delivery. We report the complete navigation of eight primary lumina in the bronchi of an anatomically accurate phantom (developed from computed tomography (CT) data) and successful laser delivery for photothermal ablation. We further evaluate the approach in three diverse branches of excised cadaveric lungs, showing a mean improvement in navigation depth of 37% with less tissue displacement when compared to a standard semi-rigid catheter and navigation depth repeatability across all tests of <1\thinspacemm.

4. 

   Magnetic Ball Chain Robots for Endoluminal Interventions

   Giovanni Pittiglio, Margherita Mencattelli, and Pierre E. Dupont

   In 2023 IEEE International Conference on Robotics and Automation (ICRA), Jul 2023

2022

1. 

   Patient-Specific Magnetic Catheters for Atraumatic Autonomous Endoscopy

   Giovanni Pittiglio, Peter Lloyd, Tomas Veiga, and 4 more authors

   Soft Robotics, Jul 2022

   PMID: 35312350

   Abs

   Despite increasing interest in minimally invasive surgical techniques and related developments in flexible endoscopes and catheters, follow-the-leader motion remains elusive. Following the path of least resistance through a tortuous and potentially delicate environment without relying on interaction with the surrounding anatomy requires the control of many degrees of freedom. This typically results in large-diameter instruments. One viable solution to obtain dexterity without increasing size is via multiple-point magnetic actuation over the length of the catheter. The main challenge of this approach is planning magnetic interaction to allow the catheter to adapt to the surrounding anatomy during navigation. We design and manufacture a fully shape-forming, soft magnetic catheter of 80 mm length and 2 mm diameter, capable of navigating a human anatomy in a follow-the-leader fashion. Although this system could be exploited for a range of endoscopic or intravascular applications, here we demonstrate its efficacy for navigational bronchoscopy. From a patient-specific preoperative scan, we optimize the catheters’ magnetization profiles and the shape-forming actuating field. To generate the required transient magnetic fields, a dual-robot arm system is employed. We fabricate three separate prototypes to demonstrate minimal contact navigation through a three-dimensional bronchial tree phantom under precomputed robotic control. We also compare a further four separate optimally designed catheters against mechanically equivalent designs with axial magnetization profiles along their length and only at the tip. Using our follow-the-leader approach, we demonstrate up to 50% more accurate tracking, 50% reduction in obstacle contact time during navigation over the state of the art, and an improvement in targeting error of 90%.