Deep Learning‐Based Denoising for High‐Resolution Carotid Vessel Wall <scp>MRI</scp> Using Standard Neurovascular Coils

A DL-based method was developed to improve high-resolution, multi-contrast carotid vessel wall MRI acquired using low-SNR standard head-and-neck coils. The resulting image quality was comparable to that obtained with specialized neck surface coils, potentially enabling broader access to advanced carotid imaging without the need for additional hardware.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2025-12-19
DOI
https://doi.org/10.1002/mrm.70226
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Deep Learning‐Based Denoising for High‐Resolution Carotid Vessel Wall MRI Using Standard Neurovascular Coils

Magnetic Resonance in Medicine
Advanced MRI Techniques and Applications
article

Deep Learning‐Based Denoising for High‐Resolution Carotid Vessel Wall MRI Using Standard Neurovascular Coils

article en

Abstract

A DL-based method was developed to improve high-resolution, multi-contrast carotid vessel wall MRI acquired using low-SNR standard head-and-neck coils. The resulting image quality was comparable to that obtained with specialized neck surface coils, potentially enabling broader access to advanced carotid imaging without the need for additional hardware.

Magnetic Resonance in MedicineVol. 95(5)
Cedars-Sinai Medical Center (US), University of Arizona (US), University of California, San Francisco (US), University of Utah (US), Walter Reed National Military Medical Center (US), VA Salt Lake City Healthcare System (US), Medical Solutions (GB), Banner - University Medical Center Tucson (US), La Jolla Bioengineering Institute (US), Bioengineering Center (RU), VA Greater Los Angeles Healthcare System (US)
Openalex Percentile: Top 43%
Advanced MRI Techniques and Applications
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Deep Learning‐Based Denoising for High‐Resolution Carotid Vessel Wall <scp>MRI</scp> Using Standard Neurovascular Coils · Magnetic Resonance in Medicine (2025) | TGRS Research Map | TGRS