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Visualization of Brain Shift Corrected Functional Magnetic Resonance Imaging Data for Intraoperative Brain Mapping
Sanam Maknojia1,2, Fred Tam1, Sunit Das3,4
1Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
This study developed an image registration pipeline to improve brain tumor surgery. The system accurately overlays preoperative fMRI data with intraoperative mapping, aiding surgeons in preserving critical brain areas during awake craniotomies.
Area of Science:
- Neurosurgery
- Medical Imaging
- Computational Neuroscience
Background:
- Brain tumor surgery necessitates balancing maximal tumor removal with preserving eloquent cortex.
- Awake craniotomy with direct cortical stimulation (DCS) aids surgical decision-making by mapping brain function.
- Preoperative functional MRI (fMRI) planning is limited by intraoperative brain shift.
Purpose of the Study:
- To develop an integrated visualization method for fMRI and DCS results that is intuitive for surgeons.
- To address the limitations of preoperative fMRI due to brain shift during surgery.
Main Methods:
- Constructed an image registration pipeline to overlay brain-shifted fMRI data onto the exposed cortical surface.
- Registered preoperative fMRI and DCS data, calculating residual errors for various misalignments.
- Validated the pipeline on data from five brain tumor patients undergoing awake craniotomy.
Main Results:
- Registration errors were below 5 mm for translations up to 25 mm and rotations up to 10-15°.
- Achieved a 95% success rate with a 5 mm error tolerance for rotational misalignments up to 20°.
- Demonstrated good quality registrations across all five patient cases.
Conclusions:
- A proof-of-concept image registration pipeline offers acceptable accuracy for intraoperative use.
- The pipeline provides multimodality visualization, potentially enhancing intraoperative brain mapping.
- This integrated approach may improve surgical outcomes in brain tumor resections.
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