MANDIBULAR ASYMMETRY CHARACTERIZATION USING GENERALIZED TENSOR-BASED MORPHOMETRY.
Quantitative assessment of facial asymmetry is crucial for successful planning of corrective surgery. We propose a tensor-based morphometry (TBM) framework to locate and quantify asymmetry using 3D CBCT images. To this end, we compute a rigid transformation between the mandible segmentation and its mirror image, which yields global rotation and translation with respect to the cranial base to guide the surgery's first stage. Next, we nonrigidly register the rigidly aligned images and use TBM methods to locally analyze the deformation field. This yields data on the location, amount and direction of "growth" (or "shrinkage") between the left and right sides. We visualize this data in a volumetric manner and via scalar and vector maps on the mandibular surface to provide the surgeon with optimal understanding of the patient's anatomy. We illustrate the feasibility and strength of our technique on 3 representative patients with a wide range of facial asymmetries.
Department of Orthodontics, University of North Carolina at Chapel Hill.
Beatriz
B
Paniagua
Department of Orthodontics, University of North Carolina at Chapel Hill.
Abeer
A
Alhadidi
Department of Orthodontics, University of North Carolina at Chapel Hill.
Lucia
L
Cevidanes
Department of Computer Science, University of North Carolina at Chapel Hill ; Department of Psychiatry, University of North Carolina at Chapel Hill.
Martin
M
Styner
Department of Psychiatry, University of North Carolina at Chapel Hill.
Ipek
I
Oguz
Tensor-based Morphometry; mandibular asymmetry; orthognatic surgical planning; shape analysis