EPFL
 Biomedical Imaging GroupSTI
EPFL
  Publications
English only   BIG > Publications > Time-Lapse Registration


 CONTENTS
 Home Page
 News & Events
 People
 Publications
 Tutorials and Reviews
 Research
 Demos
 Download Algorithms

 DOWNLOAD
 PDF not available
 PS not available
 All BibTeX References

Registration Algorithms for Time-Lapse Sequences and Multimodality Imaging

P. Thévenaz, M. Unser

Autumn Meeting of the Swiss Society of Pharmacology and Toxicology: Imaging Technologies and Their Applications in Pharmacology and Toxicology (ITAPT'03), Basel BS, Swiss Confederation, October 27-28, 2003.



The accurate alignment of two images or volumes with respect to one another is a recognized need in a wide variety of applications. A mundane example is the stitching of a mosaic of images to create a panorama of your holidays scenery; but another use for the technique is to build a larger field of view from a series of images obtained through a microscope. Other examples involve the detection of minute changes, be it from a series of images obtained by an eye-fundus camera that monitors the progression of a bolus of contrast agent through the retina, or from a series of volumetric fMRI scans of the brain of a subject who alternatively performs—and rests through—a task.

Registration is also necessary when multimodal data have to be brought into a common system of coordinates. A typical example would involve a patient who undergoes an MRI scan to detect a brain tumor, a PET scan to assess its functional damage, and a CT scan to plan for its surgical removal. As the patient takes a slightly different posture in each scanner, the data from MRI, CT, and PET cannot be overlaid. Only after successful registration will the physician be able to relate the location of the various participating tissues (brain, tumor, skull).

At the Swiss Federal Institute of Technology Lausanne, we have developed three solutions to the registration problem. The first, freely distributed as an ImageJ plugin, addresses the need for monomodal 2D registration and includes the optional use of landmarks as guidance in the difficult cases; a streamlined interface facilitates the operation of this plugin. The second, freely distributed as an ANSI-C routine, addresses the need for monomodal 3D registration [1]; this routine can be tuned in many ways to achieve fine control. The third solution addresses the need for multimodal 3D registration [2].

References

  1. P. Thévenaz, U.E. Ruttimann, M. Unser, "A Pyramid Approach to Subpixel Registration Based on Intensity," IEEE Transactions on Image Processing, vol. 7, no. 1, pp. 27-41, January 1998.

  2. P. Thévenaz, M. Unser, "Optimization of Mutual Information for Multiresolution Image Registration," IEEE Transactions on Image Processing, vol. 9, no. 12, pp. 2083-2099, December 2000.


@INPROCEEDINGS(http://bigwww.epfl.ch/publications/thevenaz0303.html,
AUTHOR="Th{\'{e}}venaz, P. and Unser, M.",
TITLE="Registration Algorithms for Time-Lapse Sequences and
        Multimodality Imaging",
BOOKTITLE="Autumn Meeting of the Swiss Society of Pharmacology and
        Toxicology: {I}maging Technologies and Their Applications in
        Pharmacology and Toxicology ({ITAPT'03})",
YEAR="2003",
editor="",
volume="",
series="",
pages="",
address="Basel BS, Swiss Confederation",
month="October 27-28,",
organization="",
publisher="",
note="")

© 2003 SSPT. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from SSPT.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.