Contrast-to-Noise based Metric of Denoising Algorithms for Liver Vein Segmentation

A. Nikonorov, A. Kolsanov, M. Petrov, Y. Yuzifovich, E. Prilepin, K. Bychenkov

2015

Abstract

We analyse CT image denoising when applied to vessel segmentation. Proposed semi-global quality metric based on the contrast-to-noise ratio allowed us to estimate initial image quality and efficiency of denoising procedures without prior knowledge about a noise-free image. We show that the total variance filtering in L1 metric provides the best denoising when compared to other well-known denoising procedures such as non-local means denoising or anisotropic diffusion. Computational complexity of this denoising algorithm is addressed by comparing its implementation for Intel MIC and for NVIDIA CUDA HPC systems.

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Paper Citation


in Harvard Style

Nikonorov A., Kolsanov A., Petrov M., Yuzifovich Y., Prilepin E. and Bychenkov K. (2015). Contrast-to-Noise based Metric of Denoising Algorithms for Liver Vein Segmentation . In Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2015) ISBN 978-989-758-118-2, pages 59-67. DOI: 10.5220/0005542400590067


in Bibtex Style

@conference{sigmap15,
author={A. Nikonorov and A. Kolsanov and M. Petrov and Y. Yuzifovich and E. Prilepin and K. Bychenkov},
title={Contrast-to-Noise based Metric of Denoising Algorithms for Liver Vein Segmentation},
booktitle={Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2015)},
year={2015},
pages={59-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005542400590067},
isbn={978-989-758-118-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2015)
TI - Contrast-to-Noise based Metric of Denoising Algorithms for Liver Vein Segmentation
SN - 978-989-758-118-2
AU - Nikonorov A.
AU - Kolsanov A.
AU - Petrov M.
AU - Yuzifovich Y.
AU - Prilepin E.
AU - Bychenkov K.
PY - 2015
SP - 59
EP - 67
DO - 10.5220/0005542400590067