Cardiac CT Image Enhancement Method Based on Prior Knowledge

DOI

10.2991/fmsmt-17.2017.90How to use a DOI?

Keywords

CT image enhancement cardiac positioning prior knowledge

Abstract

Despite the application of contrast enhancement to image enhancement in medical image processing and in spite of a good enhancement effect achieved, since the priori knowledge of the relevant application domain is left out, the medical images affected by noise have yet to be further enhanced. Priori knowledge-based contrast enhancement can well eliminate noise effect by extracting known part of mechanism from an object as priori knowledge and combining it with sample data to build a reliable sample model. This paper proposed a priori knowledge-based cardiac CT image block adaptive contrast enhancement algorithm, which can be used to process various characteristics of a cardiac CT image flexibly to general an ideal enhanced image.

Copyright

© 2017, 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  - Zihang Xu
AU  - Rui Jiang
PY  - 2017/04
DA  - 2017/04
TI  - Cardiac CT Image Enhancement Method Based on Prior Knowledge
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 425
EP  - 428
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.90
DO  - 10.2991/fmsmt-17.2017.90
ID  - Xu2017/04
ER  -