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Manipulator-driven selection of semi-active MR-visible markers.
An, Junmo; Webb, Andrew G; Shah, Dipan J; Chin, Karen; Tsekos, Nikolaos V.
Afiliación
  • An J; Medical Robotics Laboratory, University of Houston, Houston, TX, USA.
  • Webb AG; C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, Netherlands.
  • Shah DJ; Methodist DeBakey Cardiology Associates, Houston Methodist, Houston, TX, USA.
  • Chin K; Methodist DeBakey Cardiology Associates, Houston Methodist, Houston, TX, USA.
  • Tsekos NV; Medical Robotics Laboratory, University of Houston, Houston, TX, USA.
Int J Med Robot ; 14(1)2018 Feb.
Article en En | MEDLINE | ID: mdl-28660676
BACKGROUND: A method for the identification of semi-active fiducial magnetic resonance (MR) markers is presented based on selectively optically tuning and detuning them. METHODS: Four inductively coupled solenoid coils with photoresistors were connected to light sources. A microcontroller timed the optical tuning/detuning of coils and image collection. The markers were tested on an MR manipulator linking the microcontroller to the manipulator control to visibly select the marker subset according to the actuated joint. RESULTS: In closed-loop control, the average and maximum were 0.76° ± 0.41° and 1.18° errors for a rotational joint, and 0.87 mm ± 0.26 mm and 1.13 mm for the prismatic joint. CONCLUSIONS: This technique is suitable for MR-compatible actuated devices that use semi-active MR-compatible markers.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Diseño de Equipo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int J Med Robot Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Diseño de Equipo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Int J Med Robot Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos