Share Email Print
cover

Proceedings Paper

Multi-energy computed tomography reconstruction using an average image induced low-rank tensor decomposition with spatial-spectral total variation regularization
Author(s): Lisha Yao; Dong Zeng; Sui Li; Zhaoying Bian; Jianhua Ma Sr.
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

With an advanced photon counting detector, multi-energy computed tomography (MECT) can classify the photons according to the presetting thresholds and then acquire CT measurements from multiple energy bins. However, the number of the photons at one energy bin is limited compared with that in the conventional polychromatic spectrum. Therefore, the MECT images could suffer from noise-induced artifacts. To address this issue, in this work, we present a MECT reconstruction scheme which incorporates a low-rank tensor decomposition with spatial-spectral total variation (LRTD_SSTV) regularization. Additionally, the prior information from the whole energy, i.e., the average image from the MECT images, is introduced to the LRTDSSTV regularization to further improve reconstruction performance. This reconstruction scheme is termed as “LRTD_SSTVavi”. Experimental results with a digital phantom demonstrate that the presented method produces better MECT images and more accurate basis images compared with the RPCA, TDL and LRTD_STTV methods.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110722O (28 May 2019);
Show Author Affiliations
Lisha Yao, Southern Medical Univ. (China)
Dong Zeng, Southern Medical Univ. (China)
South China Univ. of Technology (China)
Sui Li, Southern Medical Univ. (China)
Zhaoying Bian, Southern Medical Univ. (China)
Jianhua Ma Sr., Southern Medical Univ. (China)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray