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Rathi Y, Malcolm J, Bouix S, et al. Affine Registration of label maps in Label Space. J Comput. 2010;2(4):1-11
Rathi, Y., Malcolm, J., Bouix, S., Tannenbaum, A., & Shenton, M. E. (2010). Affine Registration of label maps in Label Space. Journal of computing, 2(4), 1-11.
Rathi, Yogesh, et al. "Affine Registration of label maps in Label Space." Journal of computing vol. 2,4 (2010): 1-11.
Rathi Y, Malcolm J, Bouix S, Tannenbaum A, Shenton ME. Affine Registration of label maps in Label Space. J Comput. 2010 Apr;2(4):1-11. PMID: 26029473; PMCID: PMC4447523.
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J Comput. 2010 Apr;2(4):1-11.

Affine Registration of label maps in Label Space.

Journal of computing

Yogesh Rathi, James Malcolm, Sylvain Bouix, Allen Tannenbaum, Martha E Shenton

Affiliations

  1. Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston.
  2. Georgia Institute of Technology, Atlanta.

PMID: 26029473 PMCID: PMC4447523

Abstract

Two key aspects of coupled multi-object shape analysis and atlas generation are the choice of representation and subsequent registration methods used to align the sample set. For example, a typical brain image can be labeled into three structures: grey matter, white matter and cerebrospinal fluid. Many manipulations such as interpolation, transformation, smoothing, or registration need to be performed on these images before they can be used in further analysis. Current techniques for such analysis tend to trade off performance between the two tasks, performing well for one task but developing problems when used for the other. This article proposes to use a representation that is both flexible and well suited for both tasks. We propose to map object labels to vertices of a regular simplex,

Keywords: Registration; multi-object shape analysis; probabilistic atlas; richly labeled images

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