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Optimizing b-values schemes for diffusion MRI of the brain with segmented Intravoxel Incoherent Motion (IVIM) model.
Paganelli, Chiara; Zampini, Marco Andrea; Morelli, Letizia; Buizza, Giulia; Fontana, Giulia; Anemoni, Luca; Imparato, Sara; Riva, Giulia; Iannalfi, Alberto; Orlandi, Ester; Baroni, Guido.
Afiliação
  • Paganelli C; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Zampini MA; MR Solutions Americas LLC, Acton (MA), USA.
  • Morelli L; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Buizza G; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
  • Fontana G; Bioengineering Unit, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
  • Anemoni L; Radiation Therapy Technologist Unit, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
  • Imparato S; Radiology Unit, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
  • Riva G; Clinical Department, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
  • Iannalfi A; Clinical Department, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
  • Orlandi E; Clinical Department, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
  • Baroni G; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
J Appl Clin Med Phys ; 24(6): e13986, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37031365
ABSTRACT

PURPOSE:

To define an optimal set of b-values for accurate derivation of diffusion MRI parameters in the brain with segmented Intravoxel Incoherent Motion (IVIM) model.

METHODS:

Simulations of diffusion signals were performed to define an optimal set of b-values targeting different perfusion regimes, by relying on an optimization procedure which minimizes the total relative error on estimated IVIM parameters computed with a segmented fitting procedure. Then, the optimal b-values set was acquired in vivo on healthy subjects and skull base chordoma patients to compare the optimized protocol with a clinical one.

RESULTS:

The total relative error on simulations decreased of about 40% when adopting the optimal set of 13 b-values (0 10 20 40 50 60 200 300 400 1200 1300 1400 1500 s/mm2 ), showing significant differences and increased precision on D and f estimates with respect to simulations with a non-optimized b-values set. Similarly, in vivo acquisitions demonstrated a dependency of IVIM parameters on the b-values array, with differences between the optimal set of b-values and a clinical non-optimized acquisition. IVIM parameters were compatible to literature values, with D (0.679/0.701 [0.022/0.008] ·10-3 mm2 /s), f (5.49/5.80 [0.70/1.14] %), and D* (8.25/7.67 [0.92/0.83] ·10-3 mm2 /s) median [interquartile range] estimates for white matter/gray matter in volunteers and D (0.709/0.715/1.06 [0.035/0.023/0.271] ·10-3 mm2 /s), f (7.08/7.84/21.54 [1.20/1.06/6.05] %), and D* (10.85/11.84/2.32 [1.38/2.32/4.94] ·10-3 mm2 /s) for white matter/gray matter/Gross Tumor Volume in patients with skull-base chordoma tumor.

CONCLUSIONS:

The definition of an optimal b-values set can improve the estimation of quantitative IVIM parameters. This allows setting up an optimized approach that can be adopted for IVIM studies in the brain.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cordoma Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: J Appl Clin Med Phys Assunto da revista: BIOFISICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cordoma Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: J Appl Clin Med Phys Assunto da revista: BIOFISICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália