HDTV: a high-order directional total variation reconstruction algorithm from sparse and limited-angle data in electron paramagnetic resonance imaging

For the first time, we combined the limited-angle and sparse problems. The HDTV method may realize 16 times acceleration while ensuring the imaging quality in certain situations. The findings of this study can also extend to the field of limited-angle computed tomography (CT) image reconstruction.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-08-21
DOI
https://doi.org/10.21037/qims-2025-8
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

HDTV: a high-order directional total variation reconstruction algorithm from sparse and limited-angle data in electron paramagnetic resonance imaging

Yarui Xi, Chenyun Fang, Zhiwei Qiao, Yanjun Zhang et al.
Quantitative Imaging in Medicine and Surgery
Advanced MRI Techniques and Applications
article

HDTV: a high-order directional total variation reconstruction algorithm from sparse and limited-angle data in electron paramagnetic resonance imaging

Yarui Xi, Chenyun Fang, Zhiwei Qiao, Yanjun Zhang, Peng Liu
article en

Abstract

For the first time, we combined the limited-angle and sparse problems. The HDTV method may realize 16 times acceleration while ensuring the imaging quality in certain situations. The findings of this study can also extend to the field of limited-angle computed tomography (CT) image reconstruction.

Quantitative Imaging in Medicine and SurgeryVol. 15(9)
Chongqing University (CN), Shanxi University (CN)
Openalex Percentile: Top 70%
Advanced MRI Techniques and Applications
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