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Visualization of Brain Shift Corrected Functional Magnetic Resonance Imaging Data for Intraoperative Brain Mapping.
Maknojia, Sanam; Tam, Fred; Das, Sunit; Schweizer, Tom; Graham, Simon J.
Afiliación
  • Maknojia S; Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Tam F; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
  • Das S; Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Schweizer T; Keenan Research Centre, St. Michael's Hospital, Toronto, Ontario, Canada.
  • Graham SJ; Division of Neurosurgery, St. Michael's Hospital, Toronto, Ontario, Canada.
World Neurosurg X ; 2: 100021, 2019 Apr.
Article en En | MEDLINE | ID: mdl-31218295
ABSTRACT

BACKGROUND:

Brain tumor surgery requires careful balance between maximizing tumor excision and preserving eloquent cortex. In some cases, the surgeon may opt to perform an awake craniotomy including intraoperative mapping of brain function by direct cortical stimulation (DCS) to assist in surgical decision-making. Preoperatively, functional magnetic resonance imaging (fMRI) facilitates planning by identification of eloquent brain areas, helping to guide DCS and other aspects of the surgical plan. However, brain deformation (shift) limits the usefulness of preoperative fMRI during surgery. To address this, an integrated visualization method for fMRI and DCS results is developed that is intuitive for the surgeon.

METHODS:

An image registration pipeline was constructed to display preoperative fMRI data corrected for brain shift overlaid on images of the exposed cortical surface at the beginning and completion of DCS mapping. Preoperative fMRI and DCS data were registered for a range of misalignments, and the residual registration errors were calculated. The pipeline was validated on imaging data from five brain tumor patients who underwent awake craniotomy.

RESULTS:

Registration errors were well under 5 mm (the approximate spatial resolution of DCS) for misalignments of up to 25 mm and approximately 10-15°. For rotational misalignments up to 20°, the success rate was 95% for an error tolerance of 5 mm. Failures were negligible for rotational misalignments up to 10°. Good quality registrations were observed for all five patients.

CONCLUSIONS:

A proof-of-concept image registration pipeline is presented with acceptable accuracy for intraoperative use, providing multimodality visualization with potential benefits for intraoperative brain mapping.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: World Neurosurg X Año: 2019 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: World Neurosurg X Año: 2019 Tipo del documento: Article País de afiliación: Canadá
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