@inproceedings{db0ee7eb75c745b9bdfff01ddc98541b,
title = "Low-dose photon counting CT reconstruction bias reduction with multi-energy alternating minimization algorithm",
abstract = "Photon counting CT (PCCT) is an x-ray imaging technique that has undergone great development in the past decade. PCCT has the potential to improve dose efficiency and low-dose performance. In this paper, we propose a statistics-based iterative algorithm to perform a direct reconstruction of material-decomposed images. Compared with the conventional sinogram-based decomposition method which has degraded performance in low- dose scenarios, the multi-energy alternating minimization algorithm for photon counting CT (MEAM-PCCT) can generate accurate material-decomposed image with much smaller biases.",
keywords = "Alternating minimization, Iterative algorithm, Low-dose radiation, Photon counting, Spectral x-ray CT",
author = "Jingwei Lu and Shuangyue Zhang and Politte, {David G.} and O'Sullivan, {Joseph A.}",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019 ; Conference date: 02-06-2019 Through 06-06-2019",
year = "2019",
doi = "10.1117/12.2534897",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Samuel Matej and Metzler, {Scott D.}",
booktitle = "15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine",
}