Literature DB >> 24770909

Elastic shape analysis of cylindrical surfaces for 3D/2D registration in endometrial tissue characterization.

Chafik Samir, Sebastian Kurtek, Anuj Srivastava, Michel Canis.   

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.

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Year:  2014        PMID: 24770909     DOI: 10.1109/TMI.2014.2300935

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  3 in total

1.  A novel Gravity-FREAK feature extraction and Gravity-KLT tracking registration algorithm based on iPhone MEMS mobile sensor in mobile environment.

Authors:  Zhiling Hong; Fan Lin; Bin Xiao
Journal:  PLoS One       Date:  2017-10-31       Impact factor: 3.240

Review 2.  Methods for Studying Endometrial Pathology and the Potential of Atomic Force Microscopy in the Research of Endometrium.

Authors:  Agnieszka Kurek; Estera Kłosowicz; Kamila Sofińska; Robert Jach; Jakub Barbasz
Journal:  Cells       Date:  2021-01-22       Impact factor: 6.600

Review 3.  Advances in the clinical application of ultrasound elastography in uterine imaging.

Authors:  Xia-Li Wang; Shu Lin; Guo-Rong Lyu
Journal:  Insights Imaging       Date:  2022-09-04
  3 in total

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