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Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI

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arxiv 2206.03630 v1 pith:BNW62OV5 submitted 2022-06-08 eess.SP

Mihir Joshi , Aaron Pruitt , Chong Chen , Yingmin Liu , Rizwan Ahmad This is my paper · ORCID
classification eess.SP
keywords samplingmethodspseudo-randomreportcartesiancinefiveflow
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For an effective application of compressed sensing (CS), which exploits the underlying compressibility of an image, one of the requirements is that the undersampling artifact be incoherent (noise-like) in the sparsifying transform domain. For cardiovascular MRI (CMR), several pseudo-random sampling methods have been proposed that yield a high level of incoherence. In this technical report, we present a collection of five pseudo-random Cartesian sampling methods that can be applied to 2D cine and flow, 3D volumetric cine, and 4D flow imaging. Four out of the five presented methods yield fast computation for on-the-fly generation of the sampling mask, without the need to create and store pre-computed look-up tables. In addition, the sampling distribution is parameterized, providing control over the sampling density. For each sampling method in the report, (i) we briefly describe the methodology, (ii) list default values of the pertinent parameters, and (iii) provide a publicly available MATLAB implementation.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 6 citations worldwide. Full citation record

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    DISCUS applies group sparsity to deep image prior code vectors, letting the method discover the low-dimensional manifold of a dynamic image series and improving single-shot cardiac MRI reconstruction.

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    physics.med-ph 2026-07 conditional novelty 6.0 of 10

    One minute of ungated Cartesian MRI on an MR-linac can be reconstructed into separated cardiac and respiratory 5D motion states in six minutes using low-rank deformation fields.

  4. Feasibility of Continuous Ventricular Volumetric Quantification in Arrhythmias using Real-Time 3D CMR-MOTUS

    physics.med-ph 2026-03 conditional novelty 6.0 of 10

    A 3D real-time CMR method produces continuous beat-to-beat ventricular ejection-fraction measurements and reveals bimodal EF distributions during PVC episodes.

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