Statistical interior tomography
WebJan 13, 2011 · Statistical Interior Tomography. Abstract: This paper presents a statistical interior tomography (SIT) approach making use of compressed sensing (CS) theory. With the projection data modeled by the Poisson distribution, an objective function with a total … WebThus, this work aims to recover fine features lost in the MLEM-TV algorithm from low-sampled data. Method: A feature refinement (FR) approach previously developed for statistical interior computed tomography (CT) reconstruction is applied to PET imaging to recover fine features in this study.
Statistical interior tomography
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WebA compressive sensing-based statistical interior tomography method is employed to reconstruct each channel in the local spectral imaging chain, where the reconstructed global gray-scale image from the conventional imaging chain served as the initial guess. WebInterior tomography is clinically desired to reduce the radiation dose rendered to patients. In this work, a new statistical interior tomography approach for computed tomography is proposed. The developed design focuses on taking into account the statistical nature of local projection data and recovering fine structures which are lost in the conventional total …
WebNov 1, 1994 · PURPOSE: To assess the feasibility of digital deconvolution techniques to improve longitudinal resolution of spiral computed tomography (CT) multiplanar reformations and evaluate how technical factors in deconvolution affect longitudinal resolution, noise, and edge ringing. WebThe Interior problem reconstructs a region of interest (ROI) inside a patient or an object from data along X-ray paths through the ROI [1]. This ROI reconstruction problem does not have a unique...
WebThe Interior problem reconstructs a region of interest (ROI) inside a patient or an object from data along X-ray paths through the ROI [ 1 ]. This ROI reconstruction problem does not … WebAug 22, 2024 · Interior tomography reconstructs a region of interest using truncated projection data, but it is subject to the ill-posedness of interior tomography. ... Xu Q, Mou X Q, Wang G, Sieren J, Hoffman E A and Yu H Y 2011 Statistical interior tomography IEEE Trans. Med. Imaging 30 1116–28. Go to reference in article Crossref Google Scholar. …
WebStatistical interior tomography. Q Xu, X Mou, G Wang, J Sieren, EA Hoffman, H Yu. Medical Imaging, IEEE Transactions on 30 (5), 1116-1128, 2011. 112: ... Implementation of penalized-likelihood statistical reconstruction for polychromatic dual-energy CT. Q Xu, X Mou, S Tang, W Hong, Y Zhang, T Luo. SPIE Medical Imaging, 72585I-72585I-9, 2009. 18:
WebOct 28, 2024 · Recently, we developed a feature refinement approach for statistical interior computed tomography (CT) reconstruction. Its potential usefulness have been demonstrated for feature preservation of interior tomography with truncated projection measurements. Inspired by this study, the feature refinement (FR) step is applied to PET … laureen mccloskey pittsburghWebSep 2, 2010 · Here we propose a statistical approach for interior tomography incorporating the aforementioned two ingredients as well. In our approach, projection data follows the … laureen maiWebJul 21, 2016 · Abstract. Interior tomography is clinically desired to reduce the radiation dose rendered to patients. In this work, a new statistical interior tomography approach … laureen marsatWebJan 16, 2024 · Statistical iterative reconstruction method [ 30, 31] can be used to reconstruct image. The rest paper is organized as follows. We present the projection and backprojection operations based on 3D DD algorithm using the coordinates as geometrical parameters, and also the statistical iterative reconstruction workflow. laureen marniellaWebNational Center for Biotechnology Information laureen lesiakWebSep 2, 2024 · Interior tomography of X-ray computed tomography (CT) has many advantages, such as a lower radiation dose and lower detector hardware cost compared … laureen mccloskeyWebJun 30, 2016 · In this work, a new statistical interior tomography approach for computed tomography is proposed. The developed design focuses on taking into account the … laureen miki