Search Results for author: Justin P. Haldar

Found 8 papers, 0 papers with code

On Optimality in ROVir

no code implementations20 Jul 2023 Justin P. Haldar

We recently published an approach named ROVir (Region-Optimized Virtual coils) that uses the beamforming capabilities of a multichannel magnetic resonance imaging (MRI) receiver array to achieve coil compression (reducing an original set of receiver channels into a much smaller number of virtual channels for the purposes of dimensionality reduction), while simultaneously preserving the MRI signal from desired spatial regions and suppressing the MRI signal arising from unwanted spatial regions.

Dimensionality Reduction

Extended Version of "New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI''

no code implementations26 Feb 2023 Rodrigo A. Lobos, Chin-Cheng Chan, Justin P. Haldar

(Due to length restrictions, we were forced to remove substantial amounts of content from the version that was submitted to the journal, including more detailed theoretical explanations, additional figures, and a more comprehensive bibliography.

Robust Autocalibrated Structured Low-Rank EPI Ghost Correction

no code implementations30 Jul 2019 Rodrigo A. Lobos, W. Scott Hoge, Ahsan Javed, Congyu Liao, Kawin Setsompop, Krishna S. Nayak, Justin P. Haldar

First, it does not completely trust the information from autocalibration data, and instead considers the autocalibration and EPI data simultaneously when estimating low-rank matrix structure.

LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space

no code implementations20 Apr 2019 Tae Hyung Kim, Pratyush Garg, Justin P. Haldar

We propose and evaluate a new MRI reconstruction method named LORAKI that trains an autocalibrated scan-specific recurrent neural network (RNN) to recover missing k-space data.

MRI 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

Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods

no code implementations16 Aug 2017 Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar

Structured low-rank matrix models have previously been introduced to enable calibrationless MR image reconstruction from sub-Nyquist data, and such ideas have recently been extended to enable navigator-free echo-planar imaging (EPI) ghost correction.

Image Reconstruction

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