Detail publikace

The statistical evaluation of MRI data of a plant tissue

MARCOŇ, P. ČÁP, M. BARTUŠEK, K. FIALA, P. KŘÍŽ, T.

Originální název

The statistical evaluation of MRI data of a plant tissue

Anglický název

The statistical evaluation of MRI data of a plant tissue

Jazyk

en

Originální abstrakt

The authors present a statistical evaluation of the MRI images of a plant tissue. Therefore, we compare the commonly used MRI contrast and looking for the best contrast to evaluation of MRI data of a plant tissue. The acquired images are classified in terms of the signal-to-noise ratio, intensity difference and steepness of the edges. We focused on the manual evaluation of the statistical data in the area of the plant tissue.

Anglický abstrakt

The authors present a statistical evaluation of the MRI images of a plant tissue. Therefore, we compare the commonly used MRI contrast and looking for the best contrast to evaluation of MRI data of a plant tissue. The acquired images are classified in terms of the signal-to-noise ratio, intensity difference and steepness of the edges. We focused on the manual evaluation of the statistical data in the area of the plant tissue.

Dokumenty

BibTex 


@inproceedings{BUT129790,
  author="Petr {Marcoň} and Martin {Čáp} and Karel {Bartušek} and Pavel {Fiala} and Tomáš {Kříž}",
  title="The statistical evaluation of MRI data of a plant tissue",
  annote="The authors present a statistical evaluation of the MRI images of a plant tissue. Therefore, we compare the commonly used MRI contrast and looking for the best contrast to evaluation of MRI data of a plant tissue. The acquired images are classified in terms of the signal-to-noise ratio, intensity difference and steepness of the edges. We focused on the manual evaluation of the statistical data in the area of the plant tissue.",
  address="Institute of Electrical and Electronics Engineers, Inc.",
  booktitle="2016 Progress In Electromagnetics Research Symposium (PIERS)",
  chapter="129790",
  doi="10.1109/PIERS.2016.7735153",
  howpublished="online",
  institution="Institute of Electrical and Electronics Engineers, Inc.",
  year="2016",
  month="november",
  pages="2908--2911",
  publisher="Institute of Electrical and Electronics Engineers, Inc.",
  type="conference paper"
}