A novel weighted auxiliary set matching pursuit method for glioma in Cerenkov luminescence tomography reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200126
Abstract: Cerenkov luminescence tomography (CLT) is a promising three‐dimensional imaging technology that has been actively investigated in preclinical studies. However, because of the ill‐posedness in the inverse problem of CLT reconstruction, the reconstruction performance is still… read more here.
Keywords: cerenkov luminescence; weighted auxiliary; luminescence tomography; reconstruction ... See more keywords
X-ray Cherenkov-luminescence tomography reconstruction with a three-component deep learning algorithm: Swin transformer, convolutional neural network, and locality module
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.28.2.026004
Abstract: Abstract. Significance X-ray Cherenkov–luminescence tomography (XCLT) produces fast emission data from megavoltage (MV) x-ray scanning, in which the excitation location of molecules within tissue is reconstructed. However standard filtered backprojection (FBP) algorithms for XCLT sinogram… read more here.
Keywords: ray cherenkov; luminescence tomography; deep learning; cherenkov luminescence ... See more keywords