A practical statistical polychromatic image reconstruction for computed tomography using spectrum binning
Author(s): Wu M, Yang Q, Maier A, Fahrig R
Title edited volumes: Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Publication year: 2014
Conference Proceedings Title: Proc. SPIE Medical Imaging 2014
Pages range: 9033-26
Event: SPIE Medical Imaging 2014
Event location: San Diego, California, United States
Start date of the event: 17/02/2014
End date of the event: 20/02/2014
Polychromatic statistical reconstruction algorithms have very high computational demands due To The difficulty of The optimization problems and The large number of spectrum bins. We want To develop a more practical algorithm That has a simpler optimization problem, a faster numerical solver, and requires only a small amount of prior knowledge. In This paper, a modified optimization problem for polychromatic statistical reconstruction algorithms is proposed. The modified optimization problem utilizes The idea of determining scanned materials based on a first pass FBP reconstruction To fix The ratios between photoelectric and Compton scattering components of all image pixels. The reconstruction of a density image is easy To solve by a separable quadratic surrogate algorithm That is also applicable To The multi-material case. In addition, a spectrum binning method is introduced so That The full spectrum information is not required. The energy bins sizes and attenuations are optimized based on The True spectrum and object. With These approximations, The expected line integral values using only a few energy bins are very closed To The True polychromatic values. Thus both The problem size and computational demand caused by The large number of energy bins That are Typically used To model a full spectrum are reduced. Simulation showed That Three energy bins using The generalized spectrum binning method could provide an accurate approximation of The polychromatic X-ray signals. The average absolute error of The logarithmic detector signal is less Than 0.003 for a 120 kVp spectrum. The proposed modified optimization problem and spectrum binning approach can effectively suppress beam hardening artifacts while providing low noise images. © 2014 SPIE.
FAU Authors / FAU Editors How to cite
APA: Wu, M., Yang, Q., Maier, A., & Fahrig, R. (2014). A practical statistical polychromatic image reconstruction for computed tomography using spectrum binning. In Proc. SPIE Medical Imaging 2014 (pp. 9033-26).
MLA: Wu, Meng, et al. "A practical statistical polychromatic image reconstruction for computed tomography using spectrum binning." Proceedings of the SPIE Medical Imaging 2014, San Diego, California, United States 2014. 9033-26.