Paper Info
Title
Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization
Abstract
We study the problem of joint registration and deformation analysis of endometrial tissue using 3D magnetic resonance imaging (MRI) and 2D trans-vaginal ultrasound (TVUS) measurements. In addition to the different imaging techniques involved in the two modalities, this problem is complicated due to: 1) different patient pose during MRI and TVUS observations, 2) the 3D nature of MRI and 2D nature of TVUS measurements, 3) the unknown intersecting plane for TVUS in MRI volume, and 4) the potential deformation of endometrial tissue during TVUS measurement process. Focusing on the shape of the tissue, we use expert manual segmentation of its boundaries in the two modalities and apply, with modification, recent developments in shape analysis of parametric surfaces to this problem. First, we extend the 2D TVUS curves to generalized cylindrical surfaces through replication, and then we compare them with MRI surfaces using elastic shape analysis. This shape analysis provides a simultaneous registration (optimal reparameterization) and deformation (geodesic) between any two parametrized surfaces. Specifically, it provides optimal curves on MRI surfaces that match with the original TVUS curves. This framework results in an accurate quantification and localization of the deformable endometrial cells for radiologists, and growth characterization for gynecologists and obstetricians. We present experimental results using semi-synthetic data and real data from patients to illustrate these ideas.
Year
DOI
Venue
2014
10.1109/TMI.2014.2300935
Medical Imaging, IEEE Transactions
Keywords
Field
DocType
biological tissues,biomechanics,biomedical MRI,biomedical ultrasonics,cellular biophysics,deformation,differential geometry,elasticity,image registration,image segmentation,medical image processing,2D TVUS curves,2D trans-vaginal ultrasound measurements,3D magnetic resonance imaging,3D-2D registration,TVUS measurements,cylindrical surfaces,deformable endometrial cells,deformation analysis,elastic shape analysis,endometrial tissue characterization,generalized cylindrical surfaces,geodesics,gynecologists,image segmentation,joint registration,obstetricians,parametric surfaces,patient pose,radiologists,3D-2D registration,Elastic deformation,elastic geodesics,endo metriosis,generalized cylinders,multi-modal registration,reparametrization,shape analysis
Parametric surface,Computer vision,Segmentation,Image segmentation,Artificial intelligence,Geodesic,Image registration,Mathematics,Ultrasound,Shape analysis (digital geometry),Magnetic resonance imaging
Journal
Volume
Issue
ISSN
33
5
0278-0062
Citations 
PageRank 
References 
9
0.68
15
Authors
4
Name
Order
Citations
PageRank
Chafik Samir118517.69
Kurtek, Sebastian224621.52
Anuj Srivastava32853199.47
Michel Canis4263.91