@inproceedings{4ff4559f32bb43ffb543f4b44befc6e6,
title = "Improved sparse reconstruction for fluorescence molecular tomography with Poisson noise modeling",
abstract = "We present a maximum-likelihood-expectation-maximization (MLEM)-based method that models Poisson noise for improved reconstruction in fluoroscence molecular tomography with sparse fluroscence distribution.",
author = "Yansong Zhu and Jha, {Abhinav K.} and Wong, {Dean F.} and Arman Rahmim",
note = "Publisher Copyright: {\textcopyright} OSA 2018.; Clinical and Translational Biophotonics, TRANSLATIONAL 2018 ; Conference date: 03-04-2018 Through 06-04-2018",
year = "2018",
doi = "10.1364/TRANSLATIONAL.2018.JTu3A.51",
language = "English",
isbn = "9781943580415",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "Clinical and Translational Biophotonics, TRANSLATIONAL 2018",
}