Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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"
}