Paper Info
Title
Mandibular asymmetry characterization using generalized tensor-based morphometry
Abstract
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.
Year
DOI
Venue
2011
10.1109/ISBI.2011.5872611
Chicago, IL
Keywords
Field
DocType
computerised tomography,deformation,medical image processing,surgery,3D CBCT imaging,corrective surgery,facial asymmetries,mandible segmentation,mandibular asymmetry characterization,mirror imaging,quantitative assessment,rigidly aligned imaging,tensor-based morphometry framework,Tensor-based Morphometry,mandibular asymmetry,orthognatic surgical planning,shape analysis
Computer vision,Pattern recognition,Tensor,Computer science,Segmentation,Scalar (physics),Rigid transformation,Mirror image,Facial symmetry,Artificial intelligence,Asymmetry,Shape analysis (digital geometry)
Conference
Volume
ISSN
ISBN
2011
1945-7928 E-ISBN : 978-1-4244-4128-0
978-1-4244-4128-0
Citations 
PageRank 
References 
0
0.34
10
Authors
4
Name
Order
Citations
PageRank
Beatriz Paniagua13414.25
Alhadidi, A.200.34
Cevidanes, L.301.01
Martin Styner41349116.30