Cargando…
MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System
Magnetic resonance imaging (MRI) guided robotic procedures require safe robotic instrument navigation and precise target localization. This depends on reliable tracking of the instrument from MR images, which requires accurate registration of the robot to the scanner. A novel differential image base...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085576/ https://www.ncbi.nlm.nih.gov/pubmed/37041984 http://dx.doi.org/10.1109/access.2022.3207156 |
_version_ | 1785021962077077504 |
---|---|
author | TUNA, E. ERDEM POIROT, NATE LOMBARD FRANSON, DOMINIQUE BAYONA, JUANA BARRERA HUANG, SHERRY SEIBERLICH, NICOLE GRISWOLD, MARK A. CAVUSOGLU, M. CENK |
author_facet | TUNA, E. ERDEM POIROT, NATE LOMBARD FRANSON, DOMINIQUE BAYONA, JUANA BARRERA HUANG, SHERRY SEIBERLICH, NICOLE GRISWOLD, MARK A. CAVUSOGLU, M. CENK |
author_sort | TUNA, E. ERDEM |
collection | PubMed |
description | Magnetic resonance imaging (MRI) guided robotic procedures require safe robotic instrument navigation and precise target localization. This depends on reliable tracking of the instrument from MR images, which requires accurate registration of the robot to the scanner. A novel differential image based robot-to-MRI scanner registration approach is proposed that utilizes a set of active fiducial coils, where background subtraction method is employed for coil detection. In order to use the presented preoperative registration approach jointly with the real-time high speed MRI image acquisition and reconstruction methods in real-time interventional procedures, the effects of the geometric MRI distortion in robot to scanner registration is analyzed using a custom distortion mapping algorithm. The proposed approach is validated by a set of target coils placed within the workspace, employing multi-planar capabilities of the scanner. Registration and validation errors are respectively 2.05 mm and 2.63 mm after the distortion correction showing an improvement of respectively 1.08 mm and 0.14 mm compared to the results without distortion correction. |
format | Online Article Text |
id | pubmed-10085576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-100855762023-04-10 MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System TUNA, E. ERDEM POIROT, NATE LOMBARD FRANSON, DOMINIQUE BAYONA, JUANA BARRERA HUANG, SHERRY SEIBERLICH, NICOLE GRISWOLD, MARK A. CAVUSOGLU, M. CENK IEEE Access Article Magnetic resonance imaging (MRI) guided robotic procedures require safe robotic instrument navigation and precise target localization. This depends on reliable tracking of the instrument from MR images, which requires accurate registration of the robot to the scanner. A novel differential image based robot-to-MRI scanner registration approach is proposed that utilizes a set of active fiducial coils, where background subtraction method is employed for coil detection. In order to use the presented preoperative registration approach jointly with the real-time high speed MRI image acquisition and reconstruction methods in real-time interventional procedures, the effects of the geometric MRI distortion in robot to scanner registration is analyzed using a custom distortion mapping algorithm. The proposed approach is validated by a set of target coils placed within the workspace, employing multi-planar capabilities of the scanner. Registration and validation errors are respectively 2.05 mm and 2.63 mm after the distortion correction showing an improvement of respectively 1.08 mm and 0.14 mm compared to the results without distortion correction. 2022 2022-09-16 /pmc/articles/PMC10085576/ /pubmed/37041984 http://dx.doi.org/10.1109/access.2022.3207156 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Article TUNA, E. ERDEM POIROT, NATE LOMBARD FRANSON, DOMINIQUE BAYONA, JUANA BARRERA HUANG, SHERRY SEIBERLICH, NICOLE GRISWOLD, MARK A. CAVUSOGLU, M. CENK MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System |
title | MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System |
title_full | MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System |
title_fullStr | MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System |
title_full_unstemmed | MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System |
title_short | MRI Distortion Correction and Robot-to-MRI Scanner Registration for an MRI-Guided Robotic System |
title_sort | mri distortion correction and robot-to-mri scanner registration for an mri-guided robotic system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085576/ https://www.ncbi.nlm.nih.gov/pubmed/37041984 http://dx.doi.org/10.1109/access.2022.3207156 |
work_keys_str_mv | AT tunaeerdem mridistortioncorrectionandrobottomriscannerregistrationforanmriguidedroboticsystem AT poirotnatelombard mridistortioncorrectionandrobottomriscannerregistrationforanmriguidedroboticsystem AT fransondominique mridistortioncorrectionandrobottomriscannerregistrationforanmriguidedroboticsystem AT bayonajuanabarrera mridistortioncorrectionandrobottomriscannerregistrationforanmriguidedroboticsystem AT huangsherry mridistortioncorrectionandrobottomriscannerregistrationforanmriguidedroboticsystem AT seiberlichnicole mridistortioncorrectionandrobottomriscannerregistrationforanmriguidedroboticsystem AT griswoldmarka mridistortioncorrectionandrobottomriscannerregistrationforanmriguidedroboticsystem AT cavusoglumcenk mridistortioncorrectionandrobottomriscannerregistrationforanmriguidedroboticsystem |