title: Low-dose dynamic myocardial perfusion CT image reconstruction using pre-contrast normal-dose CT scan induced structure tensor total variation regularization.
abstract: Dynamic myocardial perfusion CT (DMP-CT) imaging provides quantitative functional information for diagnosis and risk stratification of coronary artery disease by calculating myocardial perfusion hemodynamic parameter (MPHP) maps. However, the level of radiation delivered by dynamic sequential scan protocol can be potentially high. The purpose of this work is to develop a pre-contrast normal-dose scan induced structure tensor total variation regularization based on the penalized weighted least-squares (PWLS) criteria to improve the image quality of DMP-CT with a low-mAs CT acquisition. For simplicity, the present approach was termed as 'PWLS-ndiSTV'. Specifically, the ndiSTV regularization takes into account the spatial-temporal structure information of DMP-CT data and further exploits the higher order derivatives of the objective images to enhance denoising performance. Subsequently, an effective optimization algorithm based on the split-Bregman approach was adopted to minimize the associative objective function. Evaluations with modified dynamic XCAT phantom and preclinical porcine datasets have demonstrated that the proposed PWLS-ndiSTV approach can achieve promising gains over other existing approaches in terms of noise-induced artifacts mitigation, edge details preservation, and accurate MPHP maps calculation.
authors.affiliation: Department of Radiotherapy and Chemotherapy, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
authors.forename: Changfei
authors.initials: C
authors.lastname: Gong
authors.forename: Ce
authors.initials: C
authors.lastname: Han
authors.forename: Guanghui
authors.initials: G
authors.lastname: Gan
authors.forename: Zhenxiang
authors.initials: Z
authors.lastname: Deng
authors.forename: Yongqiang
authors.initials: Y
authors.lastname: Zhou
authors.forename: Jinling
authors.initials: J
authors.lastname: Yi
authors.forename: Xiaomin
authors.initials: X
authors.lastname: Zheng
authors.forename: Congying
authors.initials: C
authors.lastname: Xie
authors.forename: Xiance
authors.initials: X
authors.lastname: Jin
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D005260:Female; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016018:Least-Squares Analysis; D017202:Myocardial Ischemia / Q000000981:diagnostic imaging*; D009206:Myocardium / Q000473:pathology*; D055420:Perfusion Imaging / Q000379:methods*; D019047:Phantoms, Imaging; D013552:Swine; D014057:Tomography, X-Ray Computed / Q000379:methods*