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).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom