Skip to main content
Chimaera GmbHChimaera GmbH

 

Image Registration

Align two images in a common coordinate system
and compnesate for patient movement.

 

Schedule a Meeting

OEM Image Registration

The goal of image registration is to compensate for the patient motion between different image acquisitions, be it follow-up acquisitions, image stitching or acquisitions in different imaging modalities such as CT, MR or PET/SPECT.

 

High precession of alignement

Precise registration

Obtain more precise rigid registration compared to ordinary registration

Save time when studying scans

Reduce turnaround time

In current clinical practice and healthcare centers

Improve your diagnosis

Increase diagnosis quality

Through good alignment of the images pathologies are easier to detect

Applications                                     

  • Perfusion
  • Cardiac: motion compensation
  • Image stitching
  • Volume masking (punching)
  • Model-to-image registration
  • Intensity inhomogeneity correction (MR)

 

Features

  • Multi-modal input data (CT, MR, SPECT, PET)
  • 2D-2D, 3D-3D, 2D-3D
  • Data-independent parameter estimation
  • Fully automatic and manual registration
  • Different field-of-views
  • Focus on arbitrary ROIs (regions of interest)
  • Incorporation of intensity transfer functions
  • GPU hardware acceleration

 

  

 

Technical Background

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.

Compensation for breathing motion on multimodal images
Initial image placement. The offset is due to the different scanner coordinate systems.
Compensate motion through breathing when aligning scans from different modalities
Result of non-rigid registration. The breathing motion was
corrected, along with motion at the heart.
Motion compensation through non-rigid image registration
Result of automatic rigid registration, establishment of link
between scanner coordinate systems.

Here you can find publications about our Regitration Solutions. For further information or if you like to request a demo please:

Schedule a Meeting

Videos

Check out our Chimaera YouTube Channel. Have a look on our Image Registration Playlist to get a better insight how our products work. If you have any further questions or if you are interested in a video conference to test our products please feel free to ask us.