Public articles linked to the same research event.
International Journal of Computer Assisted Radiology and Surgery The study introduces NeuralShift, a U-Net-based model that takes only preoperative MRI plus a hemisphere indicator encoding resection laterality and predicts a dense displacement field mapping preoperative to intraoperative MRI, the intraoperative brain mask, and its signed distance function; evaluated on 98 paired preoperative and intraoperative T1-weighted MRI scans from epilepsy patients undergoing temporal lobe resection with 9-fold cross-validation, it achieved a Dice of 0.97±0.01 between predicted and intraoperative masks (versus 0.92±0.01 for the preoperative mask) and reduced landmark TRE on the resection side and midline from about 4.58 mm to about 2.96 mm (left) and from about 4.41 mm to about 2.89 mm (right), with a minimum of 1.12 mm.
The study introduces NeuralShift, a U-Net-based model that takes only preoperative MRI plus a hemisphere indicator encoding resection laterality and predicts a dense displacement field mapping preoperative to intraoperative MRI, the intraoperative brain mask, and its signed distance function; evaluated on 98 paired preoperative and intraoperative T1-weighted MRI scans from epilepsy patients undergoing temporal lobe resection with 9-fold cross-validation, it achieved a Dice of 0.97±0.01 between predicted and intraoperative masks (versus 0.92±0.01 for the preoperative mask) and reduced landmark TRE on the resection side and midline from about 4.58 mm to about 2.96 mm (left) and from about 4.41 mm to about 2.89 mm (right), with a minimum of 1.12 mm.
The study introduces NeuralShift, a U-Net-based model that takes only preoperative MRI plus a hemisphere indicator encoding resection laterality and predicts a dense displacement field mapping preoperative to intraoperative MRI, the intraoperative brain mask, and its signed distance function; evaluated on 98 paired preoperative and intraoperative T1-weighted MRI scans from epilepsy patients undergoing temporal lobe resection with 9-fold cross-validation, it achieved a Dice of 0.97±0.01 between predicted and intraoperative masks (versus 0.92±0.01 for the preoperative mask) and reduced landmark TRE on the resection side and midline from about 4.58 mm to about 2.96 mm (left) and from about 4.41 mm to about 2.89 mm (right), with a minimum of 1.12 mm.
The study introduces NeuralShift, a U-Net-based model that takes only preoperative MRI plus a hemisphere indicator encoding resection laterality and predicts a dense displacement field mapping preoperative to intraoperative MRI, the intraoperative brain mask, and its signed distance function; evaluated on 98 paired preoperative and intraoperative T1-weighted MRI scans from epilepsy patients undergoing temporal lobe resection with 9-fold cross-validation, it achieved a Dice of 0.97±0.01 between predicted and intraoperative masks (versus 0.92±0.01 for the preoperative mask) and reduced landmark TRE on the resection side and midline from about 4.58 mm to about 2.96 mm (left) and from about 4.41 mm to about 2.89 mm (right), with a minimum of 1.12 mm.