Deep denoising approach to improve shear wave phase velocity map reconstruction in ultrasound elastography

The proposed approach demonstrates improvement in shear wave phase velocity image map reconstruction and holds promise that deep learning methods can be effectively utilized to extract true shear wave signal from measured noisy data.

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Publication Details

Journal
Medical Physics
Published
2024-12-23
DOI
https://doi.org/10.1002/mp.17581
Citations
4
Primary Topic
Ultrasound Imaging and Elastography
Type
article
Field-Weighted Citation Impact
1.62
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article

Deep denoising approach to improve shear wave phase velocity map reconstruction in ultrasound elastography

Karla P. Mercado‐Shekhar, Manish Bhatt, Akash Chandra, Phidakordor Sahshong
4 citations
Medical Physics
Ultrasound Imaging and Elastography
1.62
article

Deep denoising approach to improve shear wave phase velocity map reconstruction in ultrasound elastography

Karla P. Mercado‐Shekhar, Manish Bhatt, Akash Chandra, Phidakordor Sahshong
article en
4 citations

Abstract

The proposed approach demonstrates improvement in shear wave phase velocity image map reconstruction and holds promise that deep learning methods can be effectively utilized to extract true shear wave signal from measured noisy data.

Medical PhysicsVol. 52(3)
Indian Institute of Technology Guwahati (IN), Indian Institute of Technology Gandhinagar (IN)
Openalex Percentile: Top 15%
Ultrasound Imaging and Elastography
1.62
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Deep denoising approach to improve shear wave phase velocity map reconstruction in ultrasound elastography — Karla P. Mercado‐Shekhar, Manish Bhatt, et al. · Medical Physics (2024) | TGRS Research Map | TGRS