Dataset Information

Accelerated model-based quantitative diffusion MRI: A feasibility study for musculoskeletal application.

ABSTRACT:

Purpose

To develop a model-based reconstruction technique for diffusion quantification based on accelerated two-dimensional echo planar data, obtained with multiple b-weightings. In combination with a dedicated undersampling pattern, acceleration factors above three were proven feasible in a clinical setting.

Methods

The proposed model-based method minimizes a cost function considering the l₂-norm of the difference between the Fourier transformation of a synthetic diffusion-model-generated k-space and the measured k-space data. Further regularization is performed by introduction of a total variation (TV) constraint to the cost function. Acceleration is achieved by a non-random undersampling pattern using acceleration factors that correspond to the total number of b-values. A rectangular region of variable size, centered in k-space, remains fully sampled for correction of phase variations, introduced by the different diffusion-encoding strengths.

Results

Qualitative analysis of the resulting images (S₀ and ADC) demonstrates the potential of the suggested undersampling pattern in combination with a model-based iterative reconstruction. An edge analysis highlights the preservation of high-frequency information for all investigated undersampling factors. In comparison to a conventional SENSE-accelerated reconstruction, the quantitative analysis of the ADC maps revealed a significantly (P<0.05) superior performance of the suggested technique, enabling acceleration factors of R=3.65 without compromising diffusion data fidelity.

Conclusion

The presented work shows the potential of model-based ADC quantification, which, in combination with a suited undersampling pattern for multiple b-values, enables more than three-fold acceleration using two-dimensional EPI without sacrificing ADC fidelity.

SUBMITTER: Hufken T

PROVIDER: S-EPMC9948881 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

Accelerated model-based quantitative diffusion MRI: A feasibility study for musculoskeletal application.

Hüfken Thomas T Arbogast Jannik M JM Bracher Anna-Katinka AK Beer Meinrad M Neubauer Henning H Rasche Volker V

Zeitschrift fur medizinische Physik 20210624 2

<h4>Purpose</h4>To develop a model-based reconstruction technique for diffusion quantification based on accelerated two-dimensional echo planar data, obtained with multiple b-weightings. In combination with a dedicated undersampling pattern, acceleration factors above three were proven feasible in a clinical setting.<h4>Methods</h4>The proposed model-based method minimizes a cost function considering the l<sub>2</sub>-norm of the difference between the Fourier transformation of a synthetic diffu ...[more]

PMID: 34175164

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Dataset Information

Accelerated model-based quantitative diffusion MRI: A feasibility study for musculoskeletal application.

Purpose

Methods

Results

Conclusion

Publications

Accelerated model-based quantitative diffusion MRI: A feasibility study for musculoskeletal application.

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