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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.
Afiliación
  • Tuna EE; Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Poirot NL; Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Franson D; Siemens Healthineers, Boston, MA 02115, USA.
  • Bayona JB; School of Medicine, University of California San Francisco, San Francisco, CA 94143, USA.
  • Huang S; General Electric Healthcare, Royal Oak, MI 48067, USA.
  • Seiberlich N; Department of Radiology, University of Michigan, Ann-Anbor, MI 48109, USA.
  • Griswold MA; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Cavusoglu MC; Department of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
IEEE Access ; 10: 99205-99220, 2022.
Article en En | MEDLINE | ID: mdl-37041984
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IEEE Access Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IEEE Access Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos