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| 1 | Pharmacokinetics of sarafloxacin in pigs and broilers following intravenous, intramuscular, and oral single‐dose applications显示文摘 | H. Z.Ding Z. L.Zeng K. F.Fung Z. L.Chen G. L.Qiao | 2008 | Journal of Veterinary Pharmacology and Therapeutics2008，，5： | 1 |
| 2 | QTL analysis of seed storability in rice显示文摘 | D. L.Zeng L. B.Guo Y. B.Xu K.Yasukumi L. H.Zhu Q.Qian | 2006 | Plant Breeding2006，，1： | 1 |
| 3 | A projection-domain iterative algorithm for metal artifact reduction by minimizing the total-variation norm and the negative-pixel energy显示文摘Metal objects in X-ray computed tomography can cause severe artifacts.The state-of-the-art metal artifact reduction methods are in the sinogram inpainting category and are iterative methods.This paper proposes a projectiondomain algorithm to reduce the metal artifacts.In this algorithm,the unknowns are the metal-affected projections,while the objective function is set up in the image domain.The data fidelity term is not utilized in the objective function.The objective function of the proposed algorithm consists of two terms:the total variation of the metalremoved image and the energy of the negative-valued pixels in the image.After the metal-affected projections are modified,the final image is reconstructed via the filtered backprojection algorithm.The feasibility of the proposed algorithm has been verified by real experimental data. | Gengsheng L.Zeng | 2022 | Visual Computing for Industry,Biomedicine,and Art2022，5，1： | 1 |
| 4 | Sparse-view tomography via displacement function interpolation显示文摘Sparse-view tomography has many applications such as in low-dose computed tomography(CT).Using undersampled data,a perfect image is not expected.The goal of this paper is to obtain a tomographic image that is better than the naïve filtered backprojection(FBP)reconstruction that uses linear interpolation to complete the measurements.This paper proposes a method to estimate the un-measured projections by displacement function interpolation.Displacement function estimation is a non-linear procedure and the linear interpolation is performed on the displacement function(instead of,on the sinogram itself).As a result,the estimated measurements are not the linear transformation of the measured data.The proposed method is compared with the linear interpolation methods,and the proposed method shows superior performance. | Gengsheng L.Zeng | 2019 | Visual Computing for Industry,Biomedicine,and Art2019，2，1： | 0 |
| 5 | Extension of emission expectation maximization lookalike algorithms to Bayesian algorithms显示文摘We recently developed a family of image reconstruction algorithms that look like the emission maximum-likelihood expectation-maximization(ML-EM)algorithm.In this study,we extend these algorithms to Bayesian algorithms.The family of emission-EM-lookalike algorithms utilizes a multiplicative update scheme.The extension of these algorithms to Bayesian algorithms is achieved by introducing a new simple factor,which contains the Bayesian information.One of the extended algorithms can be applied to emission tomography and another to transmission tomography.Computer simulations are performed and compared with the corresponding un-extended algorithms.The total-variation norm is employed as the Bayesian constraint in the computer simulations.The newly developed algorithms demonstrate a stable performance.A simple Bayesian algorithm can be derived for any noise variance function.The proposed algorithms have properties such as multiplicative updating,non-negativity,faster convergence rates for bright objects,and ease of implementation.Our algorithms are inspired by Green’s one-steplate algorithm.If written in additive-update form,Green’s algorithm has a step size determined by the future image value,which is an undesirable feature that our algorithms do not have. | Gengsheng L.Zeng Ya Li | 2019 | Visual Computing for Industry,Biomedicine,and Art2019，2，1： | 0 |
| 6 | Analytic time-of-flight positron emission tomography reconstruction: twodimensional case显示文摘In a positron emission tomography(PET)scanner,the time-of-flight(TOF)information gives us rough event position along the line-of-response(LOR).Using the TOF information for PET image reconstruction is able to reduce image noise.The state-of-the-art TOF PET image reconstruction uses iterative algorithms.Analytical image reconstruction algorithm exits for TOF PET which emulates the iterative Landweber algorithm.This paper introduces such an algorithm,focusing on two-dimensional(2D)reconstruction.The proposed algorithm is in the form of backprojection filtering,in which the backprojection is performed first,and then a 2D filter is applied to the backprojected image.For the list-mode data,the backprojection is carried out in the event-by-event fashion,and a profile function may be used along the projection LOR.The 2D filter depends on the TOF timing resolution as well as the backprojection profile function.In order to emulate the iterative algorithm effects,a Fourier-domain window function is suggested.This window function has a parameter,k,which corresponds to the iteration number in an iterative algorithm. | Gengsheng L.Zeng Ya Li Qiu Huang | 2019 | Visual Computing for Industry,Biomedicine,and Art2019，2，1： | 0 |
| 7 | Analytic time-of-flight positron emission tomography reconstruction: threedimensional case显示文摘In a positron emission tomography(PET)scanner,the time-of-flight(TOF)information gives us rough event position along the line-of-response(LOR).Using the TOF information for PET image reconstruction is able to reduce image noise.The state-of-the-art TOF PET image reconstruction uses iterative algorithms.This study introduces an analytic TOF PET algorithm that focuses on three-dimensional(3D)reconstruction.The proposed algorithm is in the form of backprojection filtering,in which the backprojection is performed first by using a time-resolution profile function,and then a 3D filter is applied to the backprojected image.For the list-mode data,the backprojection is carried out in the event-by-event fashion,and the timing resolution determined weighting function is used along the projection LOR.Computer simulations are carried out to verify the feasibility of the proposed algorithm. | Gengsheng L.Zeng Ya Li Qiu Huang | 2020 | Visual Computing for Industry,Biomedicine,and Art2020，3，1： | 0 |
| 8 | Non-iterative image reconstruction from sparse magnetic resonance imaging radial data without priors显示文摘The state-of-the-art approaches for image reconstruction using under-sampled k-space data are compressed sensing based.They are iterative algorithms that optimize objective functions with spatial and/or temporal constraints.This paper proposes a non-iterative algorithm to estimate the un-measured data and then to reconstruct the image with the efficient filtered backprojection algorithm.The feasibility of the proposed method is demonstrated with a patient magnetic resonance imaging study.The proposed method is also compared with the state-of-the-art iterative compressed-sensing image reconstruction method using the total-variation optimization norm. | Gengsheng L.Zeng Edward V.DiBella | 2020 | Visual Computing for Industry,Biomedicine,and Art2020，3，1： | 0 |
| 9 | Poisson-noise weighted filter for time-offlight positron emission tomography显示文摘Image reconstruction for list-mode time-of-flight(TOF)positron emission tomography(PET)can be achieved by analytic algorithms.The backprojection filtering(BPF)algorithm is an efficient algorithm for this task.The conventional noise control method for analytic image reconstruction is the use of a stationary lowpass filter,which does not model the Poisson noise properly.This study proposes a nonstationary filter for Poisson noise control.The filter is implemented in the spatial domain in a form similar to convolution. | Gengsheng L.Zeng Li Lv Qiu Huang | 2020 | Visual Computing for Industry,Biomedicine,and Art2020，3，1： | 0 |
| 10 | Pre-filter that incorporates the noise model显示文摘A linear denoising filter is usually of lowpass type,and the main parameter in a lowpass filter is the cutoff frequency.The lowpass filters are normally shift invariant and can be implemented as convolution in the spatial domain or as multiplication in the Fourier domain.This paper presents a linear filter that is not characterized by its cutoff frequency but is characterized by the noise model.An example of such a linear filter is presented for lowdose X-ray computed tomography(CT). | Gengsheng L.Zeng | 2020 | Visual Computing for Industry,Biomedicine,and Art2020，3，1： | 0 |
| 11 | Projection-domain iteration to estimate unreliable measurements显示文摘Due to the beam-hardening effect of the broad energy spectrum of the X-ray source in computed tomography,the reconstructed images usually suffer from severe artifacts when metallic objects are being imaged.Metal artifact correction methods are usually sophisticated and not practical,especially in some non-medical applications,in which the linear attenuation coefficients are unknown.This paper suggests a simple and effective algorithm to estimate the unreliable measurements.The proposed algorithm is an iterative algorithm,in which the iteration is performed in the projection domain,while the objective function is set up in the image domain.The final image is reconstructed with the conventional filtered backprojection algorithm.The feasibility of the proposed method is verified with airport bags that contain some unknown metals. | Gengsheng L.Zeng | 2020 | Visual Computing for Industry,Biomedicine,and Art2020，3，1： | 0 |
| 12 | Reducing metal artifacts by restricting negative pixels显示文摘When the object contains metals,its x-ray computed tomography(CT)images are normally affected by streaking artifacts.These artifacts are mainly caused by the x-ray beam hardening effects,which deviate the measurements from their true values.One interesting observation of the metal artifacts is that certain regions of the metal artifacts often appear as negative pixel values.Our novel idea in this paper is to set up an objective function that restricts the negative pixel values in the image.We must point out that the naïve idea of setting the negative pixel values in the reconstructed image to zero does not give the same result.This paper proposes an iterative algorithm to optimize this objective function,and the unknowns are the metal affected projections.Once the metal affected projections are estimated,the filtered backprojection algorithm is used to reconstruct the final image.This paper applies the proposed algorithm to some airport bag CT scans.The bags all contain unknown metallic objects.The metal artifacts are effectively reduced by the proposed algorithm. | Gengsheng L.Zeng Megan Zeng | 2021 | Visual Computing for Industry,Biomedicine,and Art2021，4，1： | 0 |
| 13 | Iterative analytic extension in tomographic imaging显示文摘If a spatial-domain function has a finite support,its Fourier transform is an entire function.The Taylor series expansion of an entire function converges at every finite point in the complex plane.The analytic continuation theory suggests that a finite-sized object can be uniquely determined by its frequency components in a very small neighborhood.Trying to obtain such an exact Taylor expansion is difficult.This paper proposes an iterative algorithm to extend the measured frequency components to unmeasured regions.Computer simulations show that the proposed algorithm converges very slowly,indicating that the problem is too ill-posed to be practically solvable using available methods. | Gengsheng L.Zeng | 2022 | Visual Computing for Industry,Biomedicine,and Art2022，5，1： | 0 |
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