open access

Ahead of Print
ORIGINAL ARTICLES
Published online: 2019-04-11
Submitted: 2019-03-11
Accepted: 2019-04-09
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Semi-automatic segmentation and surface reconstruction of CT images by using rotoscoping and warping techniques

Sang Kyu Park, Bo Kyun Kim, Dongsun Shin
DOI: 10.5603/FM.a2019.0045
·
Pubmed: 30993664

open access

Ahead of Print
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 optimized 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 optimized surface models from any set of serially sectioned images quickly and conveniently. Moreover, these optimized 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 optimized 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 optimized surface models from any set of serially sectioned images quickly and conveniently. Moreover, these optimized 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)
surface models of body landmarks
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About this article
Title

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

Journal

Folia Morphologica

Issue

Ahead of Print

Published online

2019-04-11

DOI

10.5603/FM.a2019.0045

Pubmed

30993664

Keywords

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

Authors

Sang Kyu Park
Bo Kyun Kim
Dongsun Shin

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