Detail publikace

Bone marrow analysis in multi-contrast MR images

Originální název

Bone marrow analysis in multi-contrast MR images

Anglický název

Bone marrow analysis in multi-contrast MR images

Jazyk

en

Originální abstrakt

In the article a magnetic resonance multi-contrast data collection and analysis are described. MRI imaging of small bones is problematic, because the measured are loaded with susceptibility artifacts and low signal to noise ratio. Therefore, we focus on the comparison between commonly used MRI contrast (Proton Density-PD, relaxation time T1, relaxation time T2 and Susceptibility Weighted Imaging – SWI) and multi-contrast weighted imaging (T1/T2, SWI/T1, SWI/PD). Acquired images are classified in terms of signal to noise ratio, intensity difference and steepness of edges.

Anglický abstrakt

In the article a magnetic resonance multi-contrast data collection and analysis are described. MRI imaging of small bones is problematic, because the measured are loaded with susceptibility artifacts and low signal to noise ratio. Therefore, we focus on the comparison between commonly used MRI contrast (Proton Density-PD, relaxation time T1, relaxation time T2 and Susceptibility Weighted Imaging – SWI) and multi-contrast weighted imaging (T1/T2, SWI/T1, SWI/PD). Acquired images are classified in terms of signal to noise ratio, intensity difference and steepness of edges.

BibTex


@inproceedings{BUT98870,
  author="Petr {Marcoň} and Karel {Bartušek}",
  title="Bone marrow analysis in multi-contrast MR images",
  annote="In the article a magnetic resonance multi-contrast data collection and analysis are described. MRI imaging of small bones is problematic, because the measured are loaded with susceptibility artifacts and low signal to noise ratio. Therefore, we focus on the comparison between commonly used MRI contrast (Proton Density-PD, relaxation time T1, relaxation time T2 and Susceptibility Weighted Imaging – SWI) and multi-contrast weighted imaging (T1/T2, SWI/T1, SWI/PD). Acquired images are classified in terms of signal to noise ratio, intensity difference and steepness of edges.",
  booktitle="PIERS 2013 in Taipei Proceedings",
  chapter="98870",
  howpublished="electronic, physical medium",
  year="2013",
  month="march",
  pages="29--32",
  type="conference paper"
}