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Empirical Inference Poster 2009

MR-Based Attenuation Correction for PET/MR

Thumb ticker sm thumb ilja bezrukov
Empirical Inference
Ilja Bezrukov
Thumb ticker sm l1170153
Empirical Inference
Bernhard Schölkopf
  • Director
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Empirical Inference
Matthias Hofmann
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Empirical Inference
Florian Steinke

There has recently been a growing interest in combining PET and MR. Attenuation correction (AC), which accounts for radiation attenuation properties of the tissue, is mandatory for quantitative PET. In the case of PET/MR the attenuation map needs to be determined from the MR image. This is intrinsically difficult as MR intensities are not related to the electron density information of the attenuation map. Using ultra-short echo (UTE) acquisition, atlas registration and machine learning, we present methods that allow prediction of the attenuation map based on the MR image both for brain and whole body imaging.

Author(s): Hofmann, M. and Steinke, F. and Bezrukov, I. and Kolb, A. and Aschoff, P. and Lichy, M. and Erb, M. and Nägele, T. and Brady, M. and Schölkopf, B. and Pichler, BJ.
Volume: 17
Number (issue): 260
Year: 2009
Month: April
Day: 0
Bibtex Type: Poster (poster)
Digital: 0
Electronic Archiving: grant_archive
Event Name: 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009)
Event Place: Honolulu, HI, USA
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik
Links:

BibTex 

@poster{5613,
  title = {MR-Based Attenuation Correction for PET/MR},
  abstract = {There has recently been a growing interest in combining PET and MR. Attenuation correction (AC), which accounts for radiation attenuation properties of the tissue, is mandatory for quantitative PET. In the case of PET/MR the attenuation map needs to be determined from the MR image. This is intrinsically difficult as MR intensities are not related to the electron density information of the attenuation map. Using ultra-short echo (UTE) acquisition, atlas registration and machine learning, we present methods that allow prediction of the attenuation map based on the MR image both for brain and whole body imaging.},
  volume = {17},
  number = {260},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = apr,
  year = {2009},
  slug = {5613},
  author = {Hofmann, M. and Steinke, F. and Bezrukov, I. and Kolb, A. and Aschoff, P. and Lichy, M. and Erb, M. and N{\"a}gele, T. and Brady, M. and Sch{\"o}lkopf, B. and Pichler, BJ.},
  month_numeric = {4}
}