Paper
28 May 2019 Contrast-medium anisotropy-aware tensor total variation model for robust cerebral perfusion CT reconstruction with weak radiation: a preliminary study
Author Affiliations +
Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 110720A (2019) https://doi.org/10.1117/12.2534360
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States
Abstract
In this study we present a novel contrast-medium anisotropy-aware TTV (Cute-TTV) model to reflect intrinsic sparsity configurations of a cerebral perfusion Computed Tomography (PCT) object. We also propose a PCT reconstruction scheme via the Cute-TTV model to improve the performance of PCT reconstructions in the weak radiation tasks (referred as CuteTTV-RECON). An efficient optimization algorithm is developed for the CuteTTV-RECON. Preliminary simulation studies demonstrate that it can achieve significant improvements over existing state-of-the-art methods in terms of artifacts suppression, structures preservation and parametric maps accuracy with weak radiation.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuanke Zhang, Dong Zeng, Sui Li, Yuting Liao, Zhaoying Bian, Yongbo Wang, Ji He, Xiao Jia, Yuxiang Xing, Deyu Meng, Hongbing Lu, and Jianhua Ma "Contrast-medium anisotropy-aware tensor total variation model for robust cerebral perfusion CT reconstruction with weak radiation: a preliminary study", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110720A (28 May 2019); https://doi.org/10.1117/12.2534360
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Reconstruction algorithms

Algorithm development

Computed tomography

CT reconstruction

Matrices

Optimization (mathematics)

Biomedical engineering

Back to Top