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@ARTICLE{Barendsz:305533,
      author       = {L. J. C. Barendsz and K. Sumser and T. Gerhalter and R. M.
                      C. Mestrom and A. Nagel$^*$ and M. M. Paulides},
      title        = {{T}icept: {W}ideband {E}lectrical {P}roperties {T}omography
                      by {T}issue {C}omposition {A}ssessment {W}ith {Q}uantitative
                      $^{1}${H}$^{23}${N}a$^{39}${K} {M}ultinuclear {MRI}.},
      journal      = {Magnetic resonance in medicine},
      volume       = {95},
      number       = {3},
      issn         = {1522-2594},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley-Liss},
      reportid     = {DKFZ-2025-02207},
      pages        = {1503-1512},
      year         = {2026},
      note         = {2026 Mar;95(3):1503-1512. doi: 10.1002/mrm.70139. Epub 2025
                      Oct 24},
      abstract     = {To develop a noninvasive method for estimating dielectric
                      properties over a wide frequency range from 50 to 600 MHz.
                      Existing methods are limited in accuracy and provide
                      single-frequency results. Furthermore, accurate knowledge of
                      dielectric properties becomes more important, since medical
                      device design and safety evaluation increasingly rely on
                      computational modeling-based evaluation.Tissue composition
                      assessment was performed to find the most important factors
                      for the dielectric properties, which were sodium, potassium,
                      and water. These were measured with a 3D
                      acquisition-weighted density-adapted stack-of-stars scheme
                      ($^{23}$ Na and $^{39}$ K) and an inversion recovery turbo
                      spin echo sequence ($^{1}$H). Measurements were conducted in
                      muscle-representative phantoms and six healthy volunteers.
                      These measurements were used as input for mixture models,
                      which were used to correlate the dielectric properties of
                      the mixture with its constituents. Four different mixture
                      models were tested to assess the feasibility of this
                      method.With the Maxwell-Garnett mixture model, a 7.9\% error
                      in the real relative permittivity and a 4.0\% error in the
                      effective conductivity are found for the phantoms. The in
                      vivo values are in a similar range to those reported in
                      literature.We presented the feasibility of estimating
                      dielectric properties over a wide frequency band with
                      quantitative MRI, leading to a new method:
                      $^{1}$H$^{23}$Na$^{39}$K-TiCEPT. A discrepancy can be
                      observed in the 50-200 MHz range, but the data aligns with
                      literature from 200-600 MHz. These results show substantial
                      intersubject differences in effective conductivity (29\%),
                      supporting the need for an accurate method to provide in
                      vivo dielectric tissue properties.},
      keywords     = {electrical conductivity (Other) / electrical properties
                      tomography (EPT) (Other) / mixture theory (Other) /
                      permittivity (Other) / potassium MRI (Other) / sodium MRI
                      (Other) / tissue water content (Other)},
      cin          = {E020},
      ddc          = {610},
      cid          = {I:(DE-He78)E020-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41133303},
      doi          = {10.1002/mrm.70139},
      url          = {https://inrepo02.dkfz.de/record/305533},
}