open access

Vol 79, No 1 (2020)
ORIGINAL ARTICLES
Published online: 2019-04-11
Submitted: 2019-03-11
Accepted: 2019-04-09
Get Citation

Semi-automatic segmentation and surface reconstruction of computed tomography images by using rotoscoping and warping techniques

S. K. Park, B. K. Kim, D. S. Shin
DOI: 10.5603/FM.a2019.0045
·
Pubmed: 30993664
·
Folia Morphol 2020;79(1):156-161.

open access

Vol 79, No 1 (2020)
ORIGINAL ARTICLES
Published online: 2019-04-11
Submitted: 2019-03-11
Accepted: 2019-04-09

Abstract

Background: Quick and large-scale segmentation along with three-dimensional (3D) reconstruction is necessary to make precise 3D musculoskeletal models for surface anatomy education, palpation training, medical communication, morphology research, and virtual surgery simulation. However, automatic segmentation of the skin and muscles remain undeveloped.

Materials and methods: Therefore, in this study, we developed workflows for semi-automatic segmentation and surface reconstruction, using rotoscoping and warping techniques.

Results: The techniques were applied to multi detector computed tomography images, which were optimised to quickly generate surface models of the skin and the anatomical structures underlying the fat tissue.

Conclusions: The workflows developed in this study are expected to enable researchers to create segmented images and optimised surface models from any set of serially sectioned images quickly and conveniently. Moreover, these optimised surface models can easily be modified for further application or educational use.

Abstract

Background: Quick and large-scale segmentation along with three-dimensional (3D) reconstruction is necessary to make precise 3D musculoskeletal models for surface anatomy education, palpation training, medical communication, morphology research, and virtual surgery simulation. However, automatic segmentation of the skin and muscles remain undeveloped.

Materials and methods: Therefore, in this study, we developed workflows for semi-automatic segmentation and surface reconstruction, using rotoscoping and warping techniques.

Results: The techniques were applied to multi detector computed tomography images, which were optimised to quickly generate surface models of the skin and the anatomical structures underlying the fat tissue.

Conclusions: The workflows developed in this study are expected to enable researchers to create segmented images and optimised surface models from any set of serially sectioned images quickly and conveniently. Moreover, these optimised surface models can easily be modified for further application or educational use.

Get Citation

Keywords

cross-sectional anatomy, segmentation, surface reconstruction, three-dimensional imaging, landmark, surface anatomy, rotoscoping

Supplementary Files (1)
Supplementary Figure 1. Surface models of body landmarks
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About this article
Title

Semi-automatic segmentation and surface reconstruction of computed tomography images by using rotoscoping and warping techniques

Journal

Folia Morphologica

Issue

Vol 79, No 1 (2020)

Pages

156-161

Published online

2019-04-11

DOI

10.5603/FM.a2019.0045

Pubmed

30993664

Bibliographic record

Folia Morphol 2020;79(1):156-161.

Keywords

cross-sectional anatomy
segmentation
surface reconstruction
three-dimensional imaging
landmark
surface anatomy
rotoscoping

Authors

S. K. Park
B. K. Kim
D. S. Shin

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