Crutchfield Information Metric for Quantifying the Inter-sequence Relationship of Multiparametric MRI Data

Jens Kleesiek, Armin Biller, Kai Ueltzhöffer

2015

Abstract

A plethora of different MRI sequences exists. To automatically structure this ’zoo’ of available sequences we propose the usage of a framework rooted in information theory. In this paper we show that the Crutchfield information metric is a suitable distance measure for this purpose. It is demonstrated that the physical relationship can be inferred with this metric solely based on the voxel intensities. As future applications we envisage MRI sequence quality control and standardization.

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Paper Citation


in Harvard Style

Kleesiek J., Biller A. and Ueltzhöffer K. (2015). Crutchfield Information Metric for Quantifying the Inter-sequence Relationship of Multiparametric MRI Data . In Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015) ISBN 978-989-758-072-7, pages 5-12. DOI: 10.5220/0005181800050012


in Bibtex Style

@conference{bioimaging15,
author={Jens Kleesiek and Armin Biller and Kai Ueltzhöffer},
title={Crutchfield Information Metric for Quantifying the Inter-sequence Relationship of Multiparametric MRI Data},
booktitle={Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)},
year={2015},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005181800050012},
isbn={978-989-758-072-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)
TI - Crutchfield Information Metric for Quantifying the Inter-sequence Relationship of Multiparametric MRI Data
SN - 978-989-758-072-7
AU - Kleesiek J.
AU - Biller A.
AU - Ueltzhöffer K.
PY - 2015
SP - 5
EP - 12
DO - 10.5220/0005181800050012