全部文献期刊会议图书|学者科研项目
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作者:Evgueni Ovtchinnikov , Richard Brown , Christoph Kolbitsch ...
来源:[J].Computer Physics Communications(IF 3.078), 2020, Vol.249
摘要:... At present, the data acquired by PET-MR scanners are essentially processed separately, but the opportunity to improve accuracy of the tomographic reconstruction via synergy of the two imaging techniques is an active area of research.(#br)In this paper, we present Release 2.1...
作者:Hongcheng Wang , Igor Fedchenia , Serge L. Shishkin ...
来源:[J].Flow Measurement and Instrumentation(IF 0.971), 2015, Vol.43, pp.59-71
摘要:Abstract(#br)We present a new image reconstruction method for Electrical Capacitance Tomography (ECT). ECT image reconstruction is generally ill-posed because the number of measurements is small whereas the image dimensions are large. Here, we present a sparsity-inspired approach...
作者:Qiang Wang , Dan Li , Yi Shen
来源:[J].Neurocomputing(IF 1.634), 2017, Vol.224, pp.71-81
摘要:Abstract(#br)Image reconstruction by sparse representation, which is based on the fact that natural images are intrinsically sparse under some over-completed dictionaries, has shown promising results in many applications. However, due to the down-sampled measurements, the results...
作者:Palak Wadhwa , Kris Thielemans , Nikos Efthimiou ...
来源:[J].Methods(IF 3.641), 2020
摘要:Abstract(#br)This work demonstrates how computational and physical modelling of the positron emission tomography (PET) image acquisition process for a state-of-the-art integrated PET and magnetic resonance imaging (PET-MR) system can produce images comparable to the manufacture...
作者:Yarui Xi , Zhiwei Qiao , Wenjie Wang ...
来源:[J].Optik(IF 0.524), 2020, Vol.204
摘要:Abstract(#br)The traditional total variation (TV) minimization algorithm is an image reconstruction algorithm based on compressed sensing, which can accurately reconstruct images from sparse data or highly noisy data and has been widely used in low-dose computed tomography (CT). ...
作者:Zhiyang Yao , Yongshun Xiao , Bo Wang ...
来源:[J].Nuclear Inst. and Methods in Physics Research, A(IF 1.142), 2020, Vol.954
摘要:Abstract(#br)In this paper, we present an algebraic method to acquire the point on the event conical surface using dimension-reduction and canonical form, for direct reconstruction, pre-calculation of list-mode maximum likelihood expectation maximization(LM-MLEM) algorithm as a f...
作者:Qingyong Deng , Hongqing Zeng , Jian Zhang ...
来源:[J].Signal Processing(IF 1.851), 2019, Vol.157, pp.280-287
摘要:Abstract(#br)Image reconstruction is an important research topic in the field of multimedia processing. It aims to represent a high-resolution image with highly compressed features that can be used to reconstruct the original image as well as possible, and has been widely used fo...
作者:Dan Li , Qiang Wang , Yi Shen
来源:[J].Neurocomputing(IF 1.634), 2017, Vol.260, pp.221-234
摘要:Abstract(#br)Image reconstruction by l 0 minimization is an NP-hard problem with high computational complexity and the results are sometimes not accurate enough due to the down-sampled measurements. In this paper, we propose a novel geometric structure based intelligent collabora...
作者:Stephen H. Taylor , Suresh V. Garimella
来源:[J].Flow Measurement and Instrumentation(IF 0.971), 2015, Vol.46, pp.155-162
摘要:Abstract(#br)A new electrical capacitance tomography (ECT) image reconstruction method, termed Sensitivity Factor Regularization (SFR), is developed. The SFR method provides an explicit formulation for solving the image reconstruction problem that performs better than other expli...
作者:Dan Li , Zhaojun Wu , Qiang Wang
来源:[J].Journal of Visual Communication and Image Representation(IF 1.195), 2019, Vol.59, pp.461-474
摘要:Abstract(#br)In compressive sensing framework, the results of image reconstruction are sometimes not accurate enough due to the downsampled measurements, especially when the sampling rate is relatively small. This paper proposes a novel edge guided compressive sensing (EGCS) algo...

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