Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering

Two-Step Image Hallucination and Its Application to 3D Medical Image Super-resolution

Authors
Y. Kondo, X.H. Han, X. Wei, Y.W. Chen
Corresponding Author
Y. Kondo
Available Online July 2015.
DOI
10.2991/aiie-15.2015.91How to use a DOI?
Keywords
image restoration; super-resolution; medical volumetric image
Abstract

In medical diagnosis, high resolution (HR) images are indispensable for giving more correct decision. However, in order to obtain high resolution medical images, it is necessary to impose long-time, hence it leads to heavy burden to the patient. Therefore Super Resolution technique, which can generate high resolution images from low resolution images using machine learning techniques, attracts hot attention recently. Therein, face hallucination is one of widely used super-resolution methods in image restoration field. However, the conventional face hallucination generally cannot recover high frequency information. Therefore, this paper integrates a further learning step into the conventional method, and proposes a 2-step image hallucination, which is prospected to recover most high frequency information lost in the available low-resolution input. Furthermore, we apply the proposed strategy to generate the high-resolution Z-direction data using self-similarity among different direction for 3D medical MR images. Experimental results show that the proposed strategy can reconstruct promising HR coronal or sagittal plane by using available LR and HR data pairs in axial plane.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-70-7
ISSN
1951-6851
DOI
10.2991/aiie-15.2015.91How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Y. Kondo
AU  - X.H. Han
AU  - X. Wei
AU  - Y.W. Chen
PY  - 2015/07
DA  - 2015/07
TI  - Two-Step Image Hallucination and Its Application to 3D Medical Image Super-resolution
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 326
EP  - 329
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.91
DO  - 10.2991/aiie-15.2015.91
ID  - Kondo2015/07
ER  -