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.

Effects of Ultrasound-assisted Thawing on the Quality of Edamames [Glycine max (L.) Merrill] Frozen Using Different Freezing Methods

Xin-feng Cheng,Min Zhang,Benu Adhikari 한국식품과학회 2014 Food Science and Biotechnology Vol.23 No.4

The effects of different freezing and thawingmethods on the physicochemical indices and nutritive valueof edamame [Glycine max (L.) Merrill] were investigated. Air-blast freezing had less of an impact on the drip loss,color, chlorophyll and ascorbic acid contents, and texturalhardness of frozen shelled edamames. Ultrasound-assistedthawing significantly (p<0.05) shortened thawing time,compared to water immersion thawing. Ultrasound-assistedthawing at a 900 W power level showed the best retentionof ascorbic acid and chlorophyll, and original hardness,and minimized the drip loss of thawed samples. Ultrasonicassisted thawing at a power level of 1,200 W caused themost pronounced loss of ascorbic acid. A combination offast air-blast freezing and ultrasound-assisted thawing at apower level of 900 W most effectively retained ascorbicacid and chlorophyll, minimized drip loss, and maintainedthe textural hardness of shelled edamame samples.

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.

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.

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.

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.

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.

A novel M2e-multiple antigenic peptide providing heterologous protection in mice

Feng Wen,Ji-Hong Ma,Hai Yu,Fu-Ru Yang,Meng Huang,Yan-Jun Zhou,Ze-Jun Li,Xiu-Hui Wang,Guo-Xin Li,Yi-Feng Jiang,Wu Tong,Guangzhi Tong 대한수의학회 2016 Journal of Veterinary Science Vol.17 No.1

Swine influenza viruses (SwIVs) cause considerable morbidity and mortality in domestic pigs, resulting in a significant economic burden. Moreover, pigs have been considered to be a possible mixing vessel in which novel strains loom. Here, we developed and evaluated a novel M2e-multiple antigenic peptide (M2e-MAP) as a supplemental antigen for inactivated H3N2 vaccine to provide cross-protection against two main subtypes of SwIVs, H1N1 and H3N2. The novel tetra-branched MAP was constructed by fusing four copies of M2e to one copy of foreign T helper cell epitopes. A high-yield reassortant H3N2 virus was generated by plasmid based reverse genetics. The efficacy of the novel H3N2 inactivated vaccines with or without M2e-MAP supplementation was evaluated in a mouse model. M2e-MAP conjugated vaccine induced strong antibody responses in mice. Complete protection against the heterologous swine H1N1 virus was observed in mice vaccinated with M2e-MAP combined vaccine. Moreover, this novel peptide confers protection against lethal challenge of A/Puerto Rico/8/34 (H1N1). Taken together, our results suggest the combined immunization of reassortant inactivated H3N2 vaccine and the novel M2e-MAP provided cross-protection against swine and human viruses and may serve as a promising approach for influenza vaccine development.

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.

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.