Visualization of Brain Shift Corrected Functional Magnetic Resonance Imaging Data for Intraoperative Brain Mapping.
2D, 2-dimensional
3D, 3-Dimensional
Awake craniotomy
Brain mapping
Brain tumor resection
CT, Computed tomography
DCS, Direct cortical stimulation
Electric stimulation
FOV, Field of view
Functional mapping
MRI, Magnetic resonance imaging
Multimodal imaging
RE, Registration error
Surgical planning
TE, Echo time
TR, Repetition time
fMRI, Functional magnetic resonance imaging
Journal
World neurosurgery: X
ISSN: 2590-1397
Titre abrégé: World Neurosurg X
Pays: United States
ID NLM: 101747743
Informations de publication
Date de publication:
Apr 2019
Apr 2019
Historique:
received:
04
09
2018
accepted:
06
02
2019
entrez:
21
6
2019
pubmed:
21
6
2019
medline:
21
6
2019
Statut:
epublish
Résumé
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. 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. 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. 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.
Sections du résumé
BACKGROUND
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
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
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
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.
Identifiants
pubmed: 31218295
doi: 10.1016/j.wnsx.2019.100021
pii: S2590-1397(19)30052-3
pii: 100021
pmc: PMC6580887
doi:
Types de publication
Journal Article
Langues
eng
Pagination
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