RABBIT: Rapid alignment of brains by building intermediate templates

Songyuan Tang, Yong Fan, Minjeong Kim, Dinggang Shen

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

2 Citations (Scopus)

Abstract

This paper proposes a brain image registration algorithm, called RABBIT, which achieves fast and accurate image registration by using an intermediate template generated by a statistical shape deformation model during the image registration procedure. The statistical brain shape deformation information is learned by means of principal component analysis (PCA) from a set of training brain deformations, each of them linking a selected template to an individual brain sample. Using the statistical deformation information, the template image can be registered to a new individual image by optimizing a statistical deformation model with a small number of parameters, thus generating an intermediate template very close to the individual brain image. The remaining shape difference between the intermediate template and the individual brain is then minimized by a general registration algorithm, such as HAMMER. With the help of the intermediate template, the registration between the template and individual brain images can be achieved fast and with similar registration accuracy as HAMMER. The effectiveness of the RABBIT has been evaluated by using both simulated atrophy data and real brain images. The experimental results show that RABBIT can achieve over five times speedup, compared to HAMMER, without losing any registration accuracy or statistical power in detecting brain atrophy.

Original languageEnglish
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7259
DOIs
Publication statusPublished - 2009 Dec 16
Externally publishedYes
EventMedical Imaging 2009 - Image Processing - Lake Buena Vista, FL, United States
Duration: 2009 Feb 82009 Feb 10

Other

OtherMedical Imaging 2009 - Image Processing
CountryUnited States
CityLake Buena Vista, FL
Period09/2/809/2/10

Fingerprint

brain
Brain
templates
alignment
Image registration
atrophy
Atrophy
Statistical Models
principal components analysis
Principal Component Analysis
Principal component analysis
education

Keywords

  • Fast image registration
  • Intermediate template
  • Principal component analysis
  • Statistical deformation model

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Tang, S., Fan, Y., Kim, M., & Shen, D. (2009). RABBIT: Rapid alignment of brains by building intermediate templates. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7259). [725909] https://doi.org/10.1117/12.811174

RABBIT : Rapid alignment of brains by building intermediate templates. / Tang, Songyuan; Fan, Yong; Kim, Minjeong; Shen, Dinggang.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259 2009. 725909.

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

Tang, S, Fan, Y, Kim, M & Shen, D 2009, RABBIT: Rapid alignment of brains by building intermediate templates. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7259, 725909, Medical Imaging 2009 - Image Processing, Lake Buena Vista, FL, United States, 09/2/8. https://doi.org/10.1117/12.811174
Tang S, Fan Y, Kim M, Shen D. RABBIT: Rapid alignment of brains by building intermediate templates. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259. 2009. 725909 https://doi.org/10.1117/12.811174
Tang, Songyuan ; Fan, Yong ; Kim, Minjeong ; Shen, Dinggang. / RABBIT : Rapid alignment of brains by building intermediate templates. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7259 2009.
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