Posture matching and elastic registration of a mouse atlas to surface topography range data

  • Authors:
  • A. A. Joshi;A. J. Chaudhari;Changqing Li;D. W. Shattuck;J. Dutta;R. M. Leahy;A. W. Toga

  • Affiliations:
  • Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA;Department of Biomedical Engineering, University of California-Davis, Davis, CA;Department of Biomedical Engineering, University of California-Davis, Davis, CA;Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA;Signal and Image Processing Institute, University of Southern California, Los Angeles, CA;Signal and Image Processing Institute, University of Southern California, Los Angeles, CA;Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA

  • Venue:
  • ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Estimation of internal mouse anatomy is required for quantitative bioluminescence or fluorescence tomography. However, only surface range data can be recovered from all-optical systems. These data are at times sparse or incomplete. We present a method for fitting an elastically deformable mouse atlas to surface topographic range data acquired by an optical system. In this method, we first match the postures of a deformable atlas and the range data of the mouse being imaged. This is achieved by aligning manually identified landmarks. We then minimize the asymmetric L2 pseudodistance between the surface of the deformable atlas and the surface topography range data. Once this registration is accomplished, the internal anatomy of the atlas is transformed to the coordinate system of the range data using elastic energy minimization. We evaluated our method by using it to register a digital mouse atlas to a surface model produced from a manually labeled CT mouse data set. Dice coefficents indicated excellent agreement in the brain and heart, with fair agreement in the kidneys and bladder. We also present example results produced using our method to align the digital mouse atlas to surface range data.