Ultrasound Plane Wave Imaging as an Inverse Problem With Joint Sparse‐Based Regularized Solution

The joint sparse regularization model, by exploiting the correlation of image frequency-domain structures, effectively improves resolution (reducing FWHM by 26-61%) and contrast while preserving speckle textures. It provides an efficient and robust solution for ultrasound inverse problem reconstruction.

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Publication Details

Journal
Journal of Ultrasound in Medicine
Published
2025-10-21
DOI
https://doi.org/10.1002/jum.70095
Primary Topic
Ultrasound Imaging and Elastography
Type
article
Field-Weighted Citation Impact
0.00
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article

Ultrasound Plane Wave Imaging as an Inverse Problem With Joint Sparse‐Based Regularized Solution

Na Jiang, Jiaqi Wang, Miaomiao Zhang, Di Wang et al.
Journal of Ultrasound in Medicine
Ultrasound Imaging and Elastography
article

Ultrasound Plane Wave Imaging as an Inverse Problem With Joint Sparse‐Based Regularized Solution

Na Jiang, Jiaqi Wang, Miaomiao Zhang, Di Wang, Fanglue Lin
article en

Abstract

The joint sparse regularization model, by exploiting the correlation of image frequency-domain structures, effectively improves resolution (reducing FWHM by 26-61%) and contrast while preserving speckle textures. It provides an efficient and robust solution for ultrasound inverse problem reconstruction.

Journal of Ultrasound in MedicineVol. 45(3)
United Imaging Healthcare (China) (CN), Capital Normal University (CN)
Openalex Percentile: Top 56%
Ultrasound Imaging and Elastography
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