Real-Time Multi-Modal Sensing and Feedback for Catheterization in Porcine Tissue
Objective: In this study, we introduce a multi-modal sensing and feedback framework aimed at assisting clinicians during endovascular surgeries and catheterization procedures. This framework utilizes state-of-the-art imaging and sensing sub-systems to produce a 3D visualization of an endovascular ca...
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doaj-b70e5257382141fc8f101729d84b25e52021-01-04T00:01:35ZengMDPI AGSensors1424-82202021-01-012127327310.3390/s21010273Real-Time Multi-Modal Sensing and Feedback for Catheterization in Porcine TissueChristoff M. Heunis0Filip S̆uligoj1Carlos Fambuena Santos2Sarthak Misra3Surgical Robotics Laboratory, Department of Biomechanical Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, The NetherlandsSurgical Robotics Laboratory, Department of Biomechanical Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, The NetherlandsSurgical Robotics Laboratory, Department of Biomechanical Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, The NetherlandsSurgical Robotics Laboratory, Department of Biomechanical Engineering, Faculty of Engineering Technology, University of Twente, 7500 AE Enschede, The NetherlandsObjective: In this study, we introduce a multi-modal sensing and feedback framework aimed at assisting clinicians during endovascular surgeries and catheterization procedures. This framework utilizes state-of-the-art imaging and sensing sub-systems to produce a 3D visualization of an endovascular catheter and surrounding vasculature without the need for intra-operative X-rays. Methods: The catheterization experiments within this study are conducted inside a porcine limb undergoing motions. A hybrid position-force controller of a robotically-actuated ultrasound (US) transducer for uneven porcine tissue surfaces is introduced. The tissue, vasculature, and catheter are visualized by integrated real-time US images, 3D surface imaging, and Fiber Bragg Grating (FBG) sensors. Results: During externally-induced limb motions, the vasculature and catheter can be reliably reconstructed at mean accuracies of <inline-formula><math display="inline"><semantics><mrow><mn>1</mn><mo>.</mo><mn>9</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>3</mn></mrow></semantics></math></inline-formula> mm and <inline-formula><math display="inline"><semantics><mrow><mn>0</mn><mo>.</mo><mn>82</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>21</mn></mrow></semantics></math></inline-formula> mm, respectively. Conclusions: The conventional use of intra-operative X-ray imaging to visualize instruments and vasculature in the human body can be reduced by employing improved diagnostic technologies that do not operate via ionizing radiation or nephrotoxic contrast agents. Significance: The presented multi-modal framework enables the radiation-free and accurate reconstruction of significant tissues and instruments involved in catheterization procedures.https://www.mdpi.com/1424-8220/21/1/273image-guided surgerymedical roboticsmulti-modal sensingrobotic registration |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Christoff M. Heunis Filip S̆uligoj Carlos Fambuena Santos Sarthak Misra |
spellingShingle |
Christoff M. Heunis Filip S̆uligoj Carlos Fambuena Santos Sarthak Misra Real-Time Multi-Modal Sensing and Feedback for Catheterization in Porcine Tissue Sensors image-guided surgery medical robotics multi-modal sensing robotic registration |
author_facet |
Christoff M. Heunis Filip S̆uligoj Carlos Fambuena Santos Sarthak Misra |
author_sort |
Christoff M. Heunis |
title |
Real-Time Multi-Modal Sensing and Feedback for Catheterization in Porcine Tissue |
title_short |
Real-Time Multi-Modal Sensing and Feedback for Catheterization in Porcine Tissue |
title_full |
Real-Time Multi-Modal Sensing and Feedback for Catheterization in Porcine Tissue |
title_fullStr |
Real-Time Multi-Modal Sensing and Feedback for Catheterization in Porcine Tissue |
title_full_unstemmed |
Real-Time Multi-Modal Sensing and Feedback for Catheterization in Porcine Tissue |
title_sort |
real-time multi-modal sensing and feedback for catheterization in porcine tissue |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-01-01 |
description |
Objective: In this study, we introduce a multi-modal sensing and feedback framework aimed at assisting clinicians during endovascular surgeries and catheterization procedures. This framework utilizes state-of-the-art imaging and sensing sub-systems to produce a 3D visualization of an endovascular catheter and surrounding vasculature without the need for intra-operative X-rays. Methods: The catheterization experiments within this study are conducted inside a porcine limb undergoing motions. A hybrid position-force controller of a robotically-actuated ultrasound (US) transducer for uneven porcine tissue surfaces is introduced. The tissue, vasculature, and catheter are visualized by integrated real-time US images, 3D surface imaging, and Fiber Bragg Grating (FBG) sensors. Results: During externally-induced limb motions, the vasculature and catheter can be reliably reconstructed at mean accuracies of <inline-formula><math display="inline"><semantics><mrow><mn>1</mn><mo>.</mo><mn>9</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>3</mn></mrow></semantics></math></inline-formula> mm and <inline-formula><math display="inline"><semantics><mrow><mn>0</mn><mo>.</mo><mn>82</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>21</mn></mrow></semantics></math></inline-formula> mm, respectively. Conclusions: The conventional use of intra-operative X-ray imaging to visualize instruments and vasculature in the human body can be reduced by employing improved diagnostic technologies that do not operate via ionizing radiation or nephrotoxic contrast agents. Significance: The presented multi-modal framework enables the radiation-free and accurate reconstruction of significant tissues and instruments involved in catheterization procedures. |
topic |
image-guided surgery medical robotics multi-modal sensing robotic registration |
url |
https://www.mdpi.com/1424-8220/21/1/273 |
work_keys_str_mv |
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