Semi-Automated Registration of 3D Torso Images from Breast Reconstruction Surgery - 12.179

L. Zhao et al., "Semi-Automated Registration of 3D Torso Images from Breast Reconstruction Surgery", in Proc. of 3rd Int. Conf. on 3D Body Scanning Technologies, Lugano, Switzerland, 2012, pp. 179-188, https://doi.org/10.15221/12.179.

Title:

Semi-Automated Registration of 3D Torso Images from Breast Reconstruction Surgery

Authors:

Lijuan ZHAO 1, Shishir K. SHAH 1, Gregory P. REECE 2, Melissa A. CROSBY 2, Elisabeth K. BEAHM 2, Michelle C. FINGERET 3, Mia K. MARKEY 4,5, Fatima A. MERCHANT 1,6

1 Dept. of Computer Science, University of Houston, Houston (TX), USA;
2 Dept. of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston (TX), USA;
3 Dept. of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston (TX), USA;
4 Dept. of Biomedical Engineering, The University of Texas at Austin, Austin (TX), USA;
5 Dept. of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston (TX), USA;
6 Dept. of Engineering Technology, University of Houston, Houston (TX), USA

Abstract:

The applications for three-dimensional (3D) scanners in breast reconstruction surgery, which is a multi-step process lasting at times 2-3 years are increasing. In order to quantify changes occurring in the reconstructed breasts over time, it is necessary to register images acquired from patients during multiple clinical visits. In this study we present a semi-automated approach that allows registration of 3D images such that the differences in image-coordinate systems are removed, while optimizing correspondence of the breasts. Achieving this initial correspondence is essential to quantify differences between the two surfaces and to record the local morphological changes in the breast.

Keywords:

3D image, torso matching, 3D rigid registration, breast reconstruction, and breast morphology

Details:

Full paper: 12.179.pdf
Proceedings: 3DBST 2012, 16-17 Oct. 2012, Lugano, Switzerland
Pages: 179-188
DOI: https://doi.org/10.15221/12.179

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Proceedings: © Hometrica Consulting - Dr. Nicola D'Apuzzo, Switzerland, hometrica.ch.
Authors retain all rights to individual papers, which are licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The papers appearing in the proceedings reflect the author's opinions. Their inclusion in the proceedings does not necessary constitute endorsement by the editor or by the publisher.

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