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Chimaera GmbHChimaera GmbH
  • CT- and MR scans of a brain without registration

    CT-MR Registration of Brain Tumor

    Initial position of the two images

  • Rigid Registration, Image Fusion of CT and MR acquistion of the brain

    CT-MR Registration of Brain Tumor

    Result of automatic rigid registration algorithm

Image Registration

With the technology of image registration two (or more) images can be aligned in a common coordinate system such that corresponding image content is spatially coinciding. The goal of registration is to compensate for the patient motion between different image acquisitions, be it follow-up acquisitions or acquisitions in different imaging modalities such as CT, MR or PET/SPECT.

 

Increase diagnosis quality

through good alignment of the images pathologies are easier to detect

Reduce turnaround time

in current clinical practice and healthcare centers

Precise Image Registration

Obtain more precise rigid registration compared to ordinary registration

 

Partner with us

Chimaera GmbH is a reliable partner in providing image registration technologies

Possible applications where Image Registration could be applied to:

  • Perfusion
  • Cardiac: motion compensation
  • Image stitching
  • Volume masking (punching)
  • Model-to-image registration
  • Intensity inhomogeneity correction (MR)
  • Multi-modal input data (CT, MR, SPECT, PET)
  • 2D-2D, 3D-3D, 2D-3D
  • Data-independent and robust parameter estimation
  • Fully automatic, landmark-based and manual registration
  • Pre-processing for optimal registration results
  • Different field-of-views
  • Focus on arbitrary ROIs (regions of interest)
  • Incorporation of intensity transfer functions
  • GPU hardware acceleration

Rigid Registration

The transformation between the images is limited to only rotations and translations. This method is used to establish a link between different scanner coordinate systems or to account for rigid body movements

Non-rigid registration

Techniques allow far more degrees of freedom compared to rigid registration. It can be used to compute complex deformations between images, for example due to breathing motion and soft tissue deformations. Even inter-patient registration is possible in order to build atlases of various subjects

Work case

PET-CT Registration of Melanoma Patient

Compenstation of breathing motion in PET-CT image pair of melanoma patient. The images have been acquired at different times with single scanners. The example shows an exemplary slice from the 3-D volumes.

PET and CT image of melanoma patient, image fusion, initial placement, compensation for breating motion
Initial image placement. The offset is due to the different scanner coordinate systems.
PET and CT image of melanoma patient, image fusion, compensation for breating motion, non-rigid registration, elasitc registration
Result of non-rigid registration. The breathing motion was
corrected, along with motion at the heart.
PET and CT image of melanoma patient, image fusion, compensation for breating motion, rigid registration
Result of automatic rigid registration, establishment of link
between scanner coordinate systems.

For further information or if you like to request a demo please contact us here. 

Videos

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