A fast piece-wise deformable method for multi-modality image registration

Girish Gopalakrishnan, S. V.Bharath Kumar, Ajay Narayanan, Rakesh Mullick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Medical image fusion is becoming increasingly popular for enhancing diagnostic accuracy by intelligently 'fusing' information obtained from two different images. These images may be obtained from the same modality at different time instances or from multiple modalities recording complementary information. Due to the nature of the human body and also due to patient motion and breathing, there is a need for deformable registration algorithms in medical imaging. Typical non-parametric (deformable) registration algorithms such as the fluid-based, demons and curvature-based techniques are computationally intensive and have been demonstrated for mono-modality registrations only. We propose a fast and deformable algorithm using a 2-tiered strategy wherein a global MI-based affine registration is followed by a local piece-wise refinement. We have successfully tested this method on CT and PET images and validated the same using clinical experts.

Original languageEnglish (US)
Title of host publicationProceedings - 34th Applied Imagery and Pattern Recognition Workshop
Subtitle of host publicationMulti-modal Imaging
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)0769524796, 9780769524795
StatePublished - 2005
Event34th Applied Imagery and Pattern Recognition Workshop: Multi-modal Imaging - Washington, DC, United States
Duration: Oct 19 2005Oct 21 2005

Publication series

NameProceedings - Applied Imagery Pattern Recognition Workshop
ISSN (Print)1550-5219


Other34th Applied Imagery and Pattern Recognition Workshop: Multi-modal Imaging
Country/TerritoryUnited States
CityWashington, DC

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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