Image Fusion

Table of Contents

Make sure you choose the correct software version by selecting the Brainlab logo in the bottom corner of the corresponding software

Spine Curvature Correction

General Information

The position of a patient might change between different image acquisitions. Consequently, inaccuracies within rigid fusion results may exist after automatic fusion, manual adjustment or applying a ROI fusion. You can choose Spine Curvature Correction to obtain a better match between images.

Spine Curvature Correction creates a deformed image set that better matches the original image set.

The aim is then to review the corrected image set and potential contents that were present in the image set, and if satisfactory, approve the result.

Recommendations

Image data for Spine Curvature Correction should follow these requirements to ensure the best results:

  • A minimum of 10 slices

  • A slice distance lower than 3 mm (slice thickness lower than 3 mm and an acquisition without gaps are recommended)

  • Full DICOM information (i.e., complete DICOM header, indicating e.g., acquisition parameters)

  • If MRI data needs correcting, it should be acquired as a 3D or 2D-axial sequence with a T1-weighting (a T2-weighting or fat suppressed acquisition is also recommended).

  • Good raw image quality (e.g., high resolution, high contrast, minimal artifacts)

Supported Content

The following content is supported and is corrected together with an image set:

  • Voxel objects

  • Labeled points

  • Trajectories

  • Fiber bundles (i.e. DTI fiber tracts)

Image Modalities



Common imaging modalities like CT and MRI with several submodalities are supported for deformation.

The following special modalities and sequence types are not supported:

  • Previously deformed image sets

  • RGB images

  • FA and ADC maps

  • Phase and velocity maps

  • Perfusion maps

  • Spectroscopy images

  • Gradient calibration scans

  • FLAWS scans (fluid and white matter suppression)

  • Subtraction images and projections (Minimum/Maximum Intensity Projections)

  • Image sets containing burned-in objects

Article No. 60917-40EN

Date of publication: 2017-10-23