D. Abraham

activity

20232026

most citedFast Reconstruction of Motion-Corrupted Data with Mobile-GRAPPA: Motion and dB0 Inhomogeneity Correction Leveraging Efficient GRAPPA

1 citations · 1 across the 3 of their papers we have counts for

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eess.IV2026

Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding

Yonatan Urman, Mark Nishimura, Daniel Abraham +2

Magnetic Resonance Fingerprinting (MRF) enables fast quantitative imaging, yet reconstructing high-resolution 3D data remains computationally demanding. Non-Cartesian reconstructio…

eess.IV2023

Sequence adaptive field-imperfection estimation (SAFE): retrospective estimation and correction of $B_{1}^{+}$ and $B_{0}$ inhomogeneities for enhanced MRF quantification

Mengze Gao, Xiaozhi Cao, Daniel Abraham +2

$B_{1}^{+}$ and $B_{0}$ field-inhomogeneities can significantly reduce accuracy and robustness of MRF's quantitative parameter estimates. Additional $B_{1}^{+}$ and $B_{0}$ calibration scans c…

Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding

Sequence adaptive field-imperfection estimation (SAFE): retrospective estimation and correction of B1+​ and B0​ inhomogeneities for enhanced MRF quantification

Sequence adaptive field-imperfection estimation (SAFE): retrospective estimation and correction of $B_{1}^{+}$ and $B_{0}$ inhomogeneities for enhanced MRF quantification