Non-Contrast Cine Cardiac Magnetic Resonance Derived-Radiomics for the Prediction of Left Ventricular Adverse Remodeling in Patients With ST-Segment Elevation Myocardial Infarction

A Xin,Liu Mingliang,Chen Tong,Chen Feng,Qian Geng,Zhang Ying,Chen Yundai 대한영상의학회 2023 Korean Journal of Radiology Vol.24 No.9

Objective: To investigate the predictive value of radiomics features based on cardiac magnetic resonance (CMR) cine images for left ventricular adverse remodeling (LVAR) after acute ST-segment elevation myocardial infarction (STEMI). Materials and Methods: We conducted a retrospective, single-center, cohort study involving 244 patients (random-split into 170 and 74 for training and testing, respectively) having an acute STEMI (88.5% males, 57.0 ± 10.3 years of age) who underwent CMR examination at one week and six months after percutaneous coronary intervention. LVAR was defined as a 20% increase in left ventricular end-diastolic volume 6 months after acute STEMI. Radiomics features were extracted from the oneweek CMR cine images using the least absolute shrinkage and selection operator regression (LASSO) analysis. The predictive performance of the selected features was evaluated using receiver operating characteristic curve analysis and the area under the curve (AUC). Results: Nine radiomics features with non-zero coefficients were included in the LASSO regression of the radiomics score (RAD score). Infarct size (odds ratio [OR]: 1.04 (1.00–1.07); P = 0.031) and RAD score (OR: 3.43 (2.34–5.28); P < 0.001) were independent predictors of LVAR. The RAD score predicted LVAR, with an AUC (95% confidence interval [CI]) of 0.82 (0.75–0.89) in the training set and 0.75 (0.62–0.89) in the testing set. Combining the RAD score with infarct size yielded favorable performance in predicting LVAR, with an AUC of 0.84 (0.72–0.95). Moreover, the addition of the RAD score to the left ventricular ejection fraction (LVEF) significantly increased the AUC from 0.68 (0.52–0.84) to 0.82 (0.70–0.93) (P = 0.018), which was also comparable to the prediction provided by the combined microvascular obstruction, infarct size, and LVEF with an AUC of 0.79 (0.65–0.94) (P = 0.727). Conclusion: Radiomics analysis using non-contrast cine CMR can predict LVAR after STEMI independently and incrementally to LVEF and may provide an alternative to traditional CMR parameters.

ON THE GENERALIZED SOR-LIKE METHODS FOR SADDLE POINT PROBLEMS

Xin-Long Feng,Long Shao 한국전산응용수학회 2010 Journal of applied mathematics & informatics Vol.28 No.3

In this paper, the generalized SOR-like methods are presented for solving the saddle point problems. Based on the SOR-like methods, we introduce the uncertain parameters and the preconditioned matrixes in the splitting form of the coefficient matrix. The necessary and sufficient conditions for guaranteeing its convergence are derived by giving the restrictions imposed on the parameters. Finally, numerical experiments show that this methods are more effective by choosing the proper values of parameters.

GENERALIZED PROJECTION AND APPROXIMATION FOR GENERALIZED VARIATIONAL INEQUALITIES SYSTEM IN BANACH SPACES

Xin-Feng He,Yong-Chun Xu,Zhen He 영남수학회 2008 East Asian mathematical journal Vol.24 No.1

The approximate solvability of a generalized system for nonlinear variational inequality in Hilbert spaces was studied, based on the convergence of projection methods. But little research was done in Banach space. The primary reason was that projection mapping lacked preferably property in Banach space. In this paper, we introduced the generalized projection methods. By using these methods, the results presented in this paper extended the main results of S. S. Chang [3] from Hilbert spaces to Banach space.

Experimental study on the effect of EC-TMD on the vibration control of plant structure of PSPPs

Xin Feng,Tengfei Zhong,Yu Zhang,Jing Zhou 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.3

A high-frequency vibration control method is proposed in this paper for Pumped Storage Power Plants (PSPPs) using Eddy Current Tuned Mass Damper (EC-TMD), based on which a new type of EC-TMD device is designed. The eddy current damper parameters are optimized by numerical simulation. On this basis, physical simulation model tests are conducted to compare and study the effect of structural performance with and without damping, different control strategies, and different arrangement positions of TMD. The test results show that EC-TMD can effectively reduce the control effect under high-frequency vibration of the plant structure, and after the additional damping device forms EC-TMD, the energy dissipation is further realized due to the intervention of eddy current damping, and the control effect is subsequently improved. The Multi-Tuned Mass Damper (MTMD) control strategy broadens the tuning band to improve the robustness of the system, and the vibration advantage is more obvious. Also, some suggestions are made for the placement of the dampers to promote their application.

Perceptual Fusion of Infrared and Visible Image through Variational Multiscale with Guide Filtering

Feng, Xin,Hu, Kaiqun Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.6

To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailed information in current fusion methods, an infrared and visible light image fusion method based on variational multiscale decomposition is proposed. Firstly, the fused images are separately processed through variational multiscale decomposition to obtain texture components and structural components. The method of guided filter is used to carry out the fusion of the texture components of the fused image. In the structural component fusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightness comprehensive information. Finally, the texture components of the two images are fused. The structure components are added to obtain the final fused image. The experimental results show that the proposed method displays very good noise robustness, and it also helps realize better fusion quality.

Perceptual Fusion of Infrared and Visible Image through Variational Multiscale with Guide Filtering

Xin Feng,Kaiqun Hu 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.6

To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailedinformation in current fusion methods, an infrared and visible light image fusion method based on variationalmultiscale decomposition is proposed. Firstly, the fused images are separately processed through variationalmultiscale decomposition to obtain texture components and structural components. The method of guidedfilter is used to carry out the fusion of the texture components of the fused image. In the structural componentfusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightnesscomprehensive information. Finally, the texture components of the two images are fused. The structurecomponents are added to obtain the final fused image. The experimental results show that the proposed methoddisplays very good noise robustness, and it also helps realize better fusion quality.

Infrared and Visible Image Fusion Based on NSCT and Deep Learning

Feng, Xin Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.6

An image fusion method is proposed on the basis of depth model segmentation to overcome the shortcomings of noise interference and artifacts caused by infrared and visible image fusion. Firstly, the deep Boltzmann machine is used to perform the priori learning of infrared and visible target and background contour, and the depth segmentation model of the contour is constructed. The Split Bregman iterative algorithm is employed to gain the optimal energy segmentation of infrared and visible image contours. Then, the nonsubsampled contourlet transform (NSCT) transform is taken to decompose the source image, and the corresponding rules are used to integrate the coefficients in the light of the segmented background contour. Finally, the NSCT inverse transform is used to reconstruct the fused image. The simulation results of MATLAB indicates that the proposed algorithm can obtain the fusion result of both target and background contours effectively, with a high contrast and noise suppression in subjective evaluation as well as great merits in objective quantitative indicators.

Infrared and Visible Image Fusion Based on NSCT and Deep Learning

Xin Feng 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.6

An image fusion method is proposed on the basis of depth model segmentation to overcome theshortcomings of noise interference and artifacts caused by infrared and visible image fusion. Firstly, the deepBoltzmann machine is used to perform the priori learning of infrared and visible target and backgroundcontour, and the depth segmentation model of the contour is constructed. The Split Bregman iterativealgorithm is employed to gain the optimal energy segmentation of infrared and visible image contours. Then,the nonsubsampled contourlet transform (NSCT) transform is taken to decompose the source image, and thecorresponding rules are used to integrate the coefficients in the light of the segmented background contour. Finally, the NSCT inverse transform is used to reconstruct the fused image. The simulation results ofMATLAB indicates that the proposed algorithm can obtain the fusion result of both target and backgroundcontours effectively, with a high contrast and noise suppression in subjective evaluation as well as great meritsin objective quantitative indicators.

Caveolin-₁ is involved in high glucose accelerated human glomerular mesangial cell senescence

( Xin Feng ),( Wei Gao ),( Yao Li ) 대한내과학회 2017 The Korean Journal of Internal Medicine Vol.32 No.5

Background/Aims: We demonstrated the role of caveolin-₁ involved in high glu-cose (HG)-induced glomerular mesangial cells (GMCs) senescence. Methods: HG was used to stimulate GMCs. The telomere lengths were analyzed by Southern blot. β-Galactosidase staining was determined. The expressions of caveolin-1 and P₅₃ proteins were determined by Western blot. Results: Treatment with high concentrations of glucose induced GMC senescence accompanied by shortened telomere length and increase of β-galactosidase stain-ing as well as P₅₃ protein, which was abrogated after application of caveolin-₁- siRNA. Conclusions: This study proved that HG induced cell senescence in GMCs. The caveolin-₁ is involved in HG-induced mesangial cell senescence, and blocking ca-veolin-₁ significantly reduced cell senescence. The effect of caveolin-1 is mediated by P₅₃ pathway.

PROXIMAL POINTS METHODS FOR GENERALIZED IMPLICIT VARIATIONAL-LIKE INCLUSIONS IN BANACH SPACES

Xin-feng He,Zhen He,Jian Lou 영남수학회 2012 East Asian mathematical journal Vol.28 No.1

In this paper, we study generalized implicit variational-like inclusions and J^n-proximal operator equations in Banach spaces.It is es-tablished that generalized implicit variational-like inclusions in real Ba-nach spaces are equivalent to xed point problems.We also establish a relationship between generalized implicit variational-like inclusions and J^n-proximal operator equations. This equivalence is used to suggest an iterative algorithm for solving J^n-proximal operator equations.