Posture Matching and Elastic Registration of a Mouse Atlas to Surface Topography Range Data

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 pseudo-distance 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 coeffice...

• Type: Conference
• Year: 2009
• Where: ISBI
• Authors: Anand Joshi, Abhijit Chaudhari, Changqing Li, David W. Shattuck, Joyita Dutta, Richard M. Leahy, Arthur W. Toga
• Keywords: ISBI 2009, Medical Imaging, Mouse Atlas, Range Data, Surface Range Data