Low-dose Liver CT Images Segmentation and 3D Reconstruction

DOI

10.2991/icectt-15.2015.59How to use a DOI?

Keywords

low-dose CT, liver, image segmentation, interpolation, 3D reconstruction

Abstract

Computed tomography (CT) technology and three-dimensional (3D) reconstruction technology based on CT both play a significant part in many medical applications such as auxiliary diagnosis and surgery simulation [1]. But the radiation in CT may induce other diseases such as cancer. Therefore, low-dose CT becomes a research hot spot. In low-dose CT images, the random noise is more serious, and the spacing between adjacent CT images is also bigger. These features have brought challenges to the segmentation and 3D reconstruction in low-dose CT images. A new framework of segmentation and 3D reconstruction is proposed in this paper to process low-dose CT images. Then we conduct an experiment with low-dose liver CT images provided by a cooperation hospital in Zhejiang province, and the final results in segmentation and reconstruction are satisfactory.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fan Liu
AU  - Xinyu Jin
AU  - Wenyuan Qiu
AU  - Lanjuan Li
PY  - 2015/11
DA  - 2015/11
TI  - Low-dose Liver CT Images Segmentation and 3D Reconstruction
BT  - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
PB  - Atlantis Press
SP  - 309
EP  - 313
SN  - 2352-5401
UR  - https://doi.org/10.2991/icectt-15.2015.59
DO  - 10.2991/icectt-15.2015.59
ID  - Liu2015/11
ER  -