Search Results for author: Lawrence L. Wald

Found 4 papers, 0 papers with code

Accelerated MR Fingerprinting with Low-Rank and Generative Subspace Modeling

no code implementations18 May 2023 Hengfa Lu, Huihui Ye, Lawrence L. Wald, Bo Zhao

To address this problem, we present a new image reconstruction method for MR Fingerprinting, integrating low-rank and subspace modeling with a deep generative prior.

Image Reconstruction

Rapid head-pose detection for automated slice prescription of fetal-brain MRI

no code implementations8 Oct 2021 Malte Hoffmann, Esra Abaci Turk, Borjan Gagoski, Leah Morgan, Paul Wighton, M. Dylan Tisdall, Martin Reuter, Elfar Adalsteinsson, P. Ellen Grant, Lawrence L. Wald, André J. W. van der Kouwe

In fetal-brain MRI, head-pose changes between prescription and acquisition present a challenge to obtaining the standard sagittal, coronal and axial views essential to clinical assessment.

Highly Accelerated Multishot EPI through Synergistic Machine Learning and Joint Reconstruction

no code implementations8 Aug 2018 Berkin Bilgic, Itthi Chatnuntawech, Mary Kate Manhard, Qiyuan Tian, Congyu Liao, Stephen F. Cauley, Susie Y. Huang, Jonathan R. Polimeni, Lawrence L. Wald, Kawin Setsompop

While msEPI can mitigate these artifacts, high-quality msEPI has been elusive because of phase mismatch arising from shot-to-shot variations which preclude the combination of the multiple-shot data into a single image.

BIG-bench Machine Learning Image Reconstruction

Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

no code implementations23 Oct 2017 Bo Zhao, Justin P. Haldar, Congyu Liao, Dan Ma, Yun Jiang, Mark A. Griswold, Kawin Setsompop, Lawrence L. Wald

Magnetic resonance (MR) fingerprinting is a new quantitative imaging paradigm, which simultaneously acquires multiple MR tissue parameter maps in a single experiment.

Signal Processing

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