Brainlab Elements Image Fusion

Table of Contents

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Distortion Correction Cranial

General Information

Certain imaging modalities are susceptible to geometric distortions arising from (e.g., system imperfections and gradient nonlinearities of the imaging system). Consequently, inaccuracies within rigid fusion results may exist after automatic fusion, manual adjustment or applying ROI fusion.

You can choose Distortion Correction Cranial to obtain a better match between images.

Distortion Correction Cranial creates a corrected image set by deforming it to better match the defined reference 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.

Warning

Recommendations

Image data for Distortion Correction Cranial should follow these recommendations to ensure the best results:

  • Image pairs should cover an intersecting volume of the patient.

  • A minimum of 10 slices

  • A slice distance lower than 4 mm (slice thickness lower than 4 mm and an acquisition without gaps are recommended)

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

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

Supported Image Modalities

The following imaging modalities are supported for Distortion Correction Cranial, if paired as follows:

  • CT-MR

  • MR-MR

  • MR-DTI

Unsupported Image Modalities



The following special modalities and sequence types are not supported for direct calculation:

  • 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

Supported Content

The following content is supported and corrected based on the deformation of an image set:

  • Voxel objects

  • Labeled points

  • Trajectories

  • Fiber bundles (e.g., DTI fiber tracts)

Article No. 60917-73EN

Fecha de publicación: 2018-09-25