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Quantitative X-ray fluorescence imaging of gold nanoparticles using joint L1 and total variation regularized reconstruction
Author(s) -
Junwei Shi,
Blaine Granger,
Keying Xu,
Yidong Yang
Publication year - 2019
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims.2019.10.15
Subject(s) - collimator , tomosynthesis , imaging phantom , materials science , detector , iterative reconstruction , optics , regularization (linguistics) , total variation denoising , tomography , physics , computer science , artificial intelligence , medicine , cancer , breast cancer , mammography , image (mathematics)
This work proposed a joint L1 and total variation (TV) regularized reconstruction method for X-ray fluorescence tomography (XFT), and investigated the performance of this method in quantitative imaging of gold nanoparticles (GNPs).

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