Image Fusion allows you to register a minimum of two image sets together. You can fuse the same or different modalities (e.g., CT, MR, PET, SPECT). You can apply Image Fusion within different workflows (e.g., when using Cranial or Spine software).
Once two image sets are fused, they can be viewed simultaneously. All planned content (e.g., objects and trajectories) defined in one image set is visible in any other fused image set.
Image Fusion proposes a fusion network based on pre-defined pairing rules. For further information contact Brainlab.
Image Fusion uses an algorithm to fuse the selected image sets. The algorithm matches two image sets together with common anatomical structures for optimal fusion results. The two image sets must share the same common anatomical area.
Automatic image fusion is suitable for most image modality combinations with some exceptions (e.g., ultrasound image sets). In the case of unsupported modalities, the original scanner position (e.g., frame of reference) is available by default. Manual adjustments are possible.
Rigid Fusion and Correction
Rigid fusion inaccuracies can be caused by distortion within one of the image sets or by different patient positions in several image sets. You can correct distortion using Cranial Distortion Correction within cranial workflows and correct different patient positions using Spine Curvature Correction for spine workflows. By doing so, a new image set is generated using a deformable registration algorithm (elastic deformation).
An elastic deformation by definition is not uniform throughout the whole volume. This can potentially mean accurate deformation in your area of interest but inaccurate deformation in another part of the brain or spine.
You should carefully verify the new image set generated, considering its entire image volume. The verification tools available in the application are described in the following sections.
Deformation is optional and dependent on licensing and system configuration. For more information, contact Brainlab support.
Reviewing Image Sets
Always review the image sets selected for fusion. The better the image quality and resolution, the better the fusion result.