Publication detail

Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images

MARCOŇ, P. BARTUŠEK, K. ČÁP, M.

Original Title

Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images

English Title

Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images

Type

conference paper

Language

en

Original Abstract

The introduction for MRI revolutionized bone marrow imaging because this technique provides images with excellent soft tissue contrast. To determine the properties of bone and bone marrow and their pathology, we have to know the properties of surrounding tissues. It is also important for the segmentation of individual tissues. The size and shape of tissues can often help to diagnose various pathologies. In this paper, we focused on multiparametric data collection of animals' tissues. As the source images was these weighted images chosen: PD, T1, T2, and SWI tissue parameters in terms of a multivariate. As a measured sample chicken wing was used. Several parameters (maximal value, minimal value, mean value and standard deviation) were evaluated in this sample in displayed tissues: skin, fat, muscle, bone and bone marrow. The obtained data could be used with advantage for multi-parametric analysis and for image segmentation.

English abstract

The introduction for MRI revolutionized bone marrow imaging because this technique provides images with excellent soft tissue contrast. To determine the properties of bone and bone marrow and their pathology, we have to know the properties of surrounding tissues. It is also important for the segmentation of individual tissues. The size and shape of tissues can often help to diagnose various pathologies. In this paper, we focused on multiparametric data collection of animals' tissues. As the source images was these weighted images chosen: PD, T1, T2, and SWI tissue parameters in terms of a multivariate. As a measured sample chicken wing was used. Several parameters (maximal value, minimal value, mean value and standard deviation) were evaluated in this sample in displayed tissues: skin, fat, muscle, bone and bone marrow. The obtained data could be used with advantage for multi-parametric analysis and for image segmentation.

Keywords

Animal tissues, data processing, MRI, multiparametric data collection

RIV year

2012

Released

19.08.2012

Location

Moscow

ISBN

978-1-934142-22-6

Book

PIERS 2012 in Moscow Proceedings

Pages from

369

Pages to

372

Pages count

4

BibTex


@inproceedings{BUT93398,
  author="Petr {Marcoň} and Karel {Bartušek} and Martin {Čáp}",
  title="Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images",
  annote="The introduction for MRI revolutionized bone marrow imaging because this technique provides images with excellent soft tissue contrast. To determine the properties of bone and bone marrow and their pathology, we have to know the properties of surrounding tissues. It is also important for the segmentation of individual tissues. The size and shape of tissues can often help to diagnose various pathologies. In this paper, we focused on multiparametric data collection of animals' tissues. As the source images was these weighted images chosen: PD, T1, T2, and SWI tissue parameters in terms of a multivariate. As a measured sample chicken wing was used. Several parameters (maximal value, minimal value, mean value and standard deviation) were evaluated in this sample in displayed tissues: skin, fat, muscle, bone and bone marrow. The obtained data could be used with advantage for multi-parametric analysis and for image segmentation.",
  booktitle="PIERS 2012 in Moscow Proceedings",
  chapter="93398",
  howpublished="electronic, physical medium",
  year="2012",
  month="august",
  pages="369--372",
  type="conference paper"
}