OBJECTIVES: We propose a sparse-view cone-beam CT reconstruction algorithm based on bidirectional flow field guided projection completion (BBC-Recon) to solve the ill-posed inverse problem in sparse-view cone-beam CT imaging. METHODS: The BBC-Recon method consists of two main modules: the projection completion module and the image restoration module. Based on flow field estimation, the projection completion module, through the designed bidirectional and multi-scale correlators, fully calculates the correlation information and redundant information among projections to precisely guide the generation of bidirectional flow fields and missing frames, thus achieving high-precision completion of missing projections and obtaining pseudo complete projections. The image restoration module reconstructs the obtained pseudo complete projections and then refines the image to remove the residual artifacts and further improve the image quality. RESULTS: The experimental results on the public datasets of Mayo Clinic and Guilin Medical University showed that in the case of a 4-fold sparse angle, compared with the suboptimal method, the BBC-Recon method increased the PSNR index by 1.80% and the SSIM index by 0.29%, and reduced the RMSE index by 4.12%; In the case of an 8-fold sparse angle, the BBC-Recon method increased the PSNR index by 1.43% and the SSIM index by 1.49%, and reduced the RMSE index by 0.77%. CONCLUSIONS The BBC-Recon algorithm fully exploits the correlation information between projections to allow effective removal of streak artifacts while preserving image structure information, and demonstrates significant advantages in maintaining inter-slice consistency.
Algorithms ; Cone-Beam Computed Tomography/methods* ; Image Processing, Computer-Assisted/methods* ; Humans

Objective: To explore the relationship between dietary behavior, dietary frequency and central precocious puberty (CPP) among children in Wuhan, so as to provide a scientific basis for elucidating the possible and related dietary factors leading to precocious puberty. Methods: From February to December 2023, 100 children with CPP and 100 healthy children were collected in Wuhan Children s Hospital for a case control study. Questionnaires and interviews were used to collect demographic information, child lifestyle, as well as dietary behavior and dietary frequency in the past six months. Conditional Logistic regression model was used to analyze the relationship of children s dietary behavior and dietary frequency with CPP. Results: No associations were found between three dietary behavior, including emotional eating, restrictive eating, and external eating, with CPP at baseline ( P >0.05). In the association analysis of dietary frequency and CPP, the risk of CPP was higher in those who consumed red meat >5 times/week ( OR =1.93, 95% CI =1.01-3.68), carbonated beverages ≥4 times/month ( OR =2.70, 95% CI =1.03-7.08), fruit juices ≥4 times/month ( OR =2.31, 95% CI =1.02-5.25), and nutritional supplementation ( OR =2.77, 95% CI =1.47- 5.22 ), whereas the risk of CPP was lower in those who consumed nuts ≥4 times/month ( OR =0.21, 95% CI =0.08-0.57) ( P < 0.05 ). Conclusion Consumption of higher amounts of red meat, high frequency of carbonated and juice based sugary drinks, and nutrient supplementation may be contributing factors to the development of CPP, whereas regular consumption of nuts is less likely to be associated with the development of CPP.

AIM:To investigate the effects of adipose-derived stem cells(ADSCs)with overexpression or si-lencing of long noncoding RNA(lncRNA)SNHG8 on the viability,migration,angiogenesis,and the expression of vasoac-tive factors in human umbilical vein endothelial cells(HUVECs).METHODS:Identification of ADSCs derived from morbidly obese patients(O-ADSCs)was conducted using flow cytometry and induction of lipogenesis and osteogenesis.The expression of lncRNA SNHG8 in healthy human ADSCs(H-ADSCs)and O-ADSCs was detected by RT-qPCR.Tran-swell method was used to establish the indirect co-culture system of ADSCs and HUVECs for 48 h,and the cells were di-vided into O-ADSCs+HUVECs group,H-ADSCs+HUVECs group,and HUVECs alone group.The mRNA and protein ex-pression levels of angiotensin Ⅱ(Ang Ⅱ),endothelin-1(ET-1)and endothelial nitric oxide synthase(eNOS)in HUVECs were detected by RT-qPCR and Western blot.The lncRNA SNHG8 overexpression and silencing lentiviruses were con-structed and used to infect O-ADSCs.The indirect co-cultured ADSCs and HUVECs were divided into O-ADSCs-OE-SNHG8+ HUVECs group,O-ADSCs-OE-NC+HUVECs group,O-ADSCs-sh-SNHG8+HUVECs group,and O-ADSCs-sh-NC+HUVECs group.After co-culture for 48 h,the viability,migration and tubule formation of HUVECs were detected by CCK-8,scratch and angiogenesis assays,respectively.The mRNA and protein expression levels of Ang Ⅱ,ET-1 and eNOS in HU-VECs were detected by RT-qPCR and Western blot,respectively.The nitrate reductase method was used to detect the con-tent of NO in HUVECs.RESULTS:(1)The cultured cells were identified as ADSCs.(2)Compared with H-ADSCs,ln-cRNA SNHG8 expression was significantly up-regulated in O-ADSCs(P<0.01).(3)Compared with H-ADSCs+HUVECs group and HUVECs group,the mRNA and protein expression levels of Ang Ⅱ and ET-1 in HUVECs in O-ADSCs+HU-VECs group were up-regulated(P<0.01).(4)Overexpression of lncRNA SNHG8 in O-ADSCs enhanced the viability,mi-gration and tube formation ability of HUVECs,up-regulated the mRNA and protein expression levels of Ang Ⅱ and ET-1,down-regulated the mRNA and protein expression levels of eNOS,and decreased the content of NO in HUVECs(P<0.05).However,silencing of lncRNA SNHG8 in O-ADSCs exerted opposite results(P<0.05).CONCLUSION:(1)The O-ADSCs can promote endothelial cell viability,migration and tubule formation through paracrine effects.(2)The O-ADSCs with overexpression of lncRNA SNHG8 promote the imbalance of diastolic and contractile factors secreted by endo-thelial cells,and induce the dysfunction of vascular endothelial cells.

Objective:To investigate the association between gestational blood pressure and neurodevelopment in 2-year-old children.Methods:Based on the"Wuhan Healthy Baby Birth Cohort", 3 754 mother-infant pairs were enrolled in this study. Based on multiple blood pressure measurements during pregnancy, the mean, cumulative, and variability of blood pressure throughout the entire pregnancy and each trimester were calculated. Blood pressure variability was evaluated using standard deviation (SD), coefficient of variability (CV), and variability independent of mean (VIM). Follow-up testing of neurodevelopment in infants and young children at the age of two was conducted to obtain the Mental Development Index (MDI) and the Psychomotor Development Index (PDI). The multivariate linear regression and generalized estimation equation were used to analyze the association between gestational blood pressure data and neurodevelopmental index.Results:The age of 3 754 pregnant women was (29.1±3.6) years, with a pre-pregnancy BMI of (20.9±2.7) kg/m2 and a gestational age of (39.3±1.2) weeks. The birth weight of 3 754 children was (3 330.9±397.7) grams, and the birth length was (50.3±1.6) centimeters. The results of the multivariate linear regression analysis showed that after adjusting for relevant confounding factors, the mean blood pressure, cumulative blood pressure, standard deviation of blood pressure, coefficient of variation of blood pressure, independent blood pressure variability of systolic blood pressure, diastolic blood pressure, and pulse pressure throughout pregnancy were negatively associated with the MDI and PDI scores of 2-year-old children. The analysis results of the generalized estimation equation showed that after adjusting for relevant confounding factors, the average systolic blood pressure in the first, second, and third trimesters was negatively associated with MDI/PDI. The negative association between cumulative blood pressure and MDI/PDI was only found in the first trimester. The negative association between blood pressure variation during pregnancy and MDI/PDI was mainly concentrated in the second and third trimesters.Conclusion:There is a negative association between gestational blood pressure and the neurodevelopmental index of 2-year-old children.

Polygala tenuifolia,commonly known as Yuanzhi(YZ)in Chinese,has been shown to possess anti-insomnia properties.However,the material basis and the mechanism underlying its sedative-hypnotic effects remain unclear.Herein,we investigated the active components and neurochemical mechanism of YZ extracts using liquid chromatography tandem mass spectrometry(LC-MS/MS)-based pharmaco-metabolomics and mass spectrometry imaging(MSI)-based spatial resolved metabolomics.According to the results,17 prototypes out of 101 ingredients in the YZ extract were detected in both the plasma and brain,which might be the major components contributing to the sedative-hypnotic effects.Network pharmacology analysis revealed that these prototypes may exert their effects through neuroactive ligand-receptor interaction,serotonergic synapse,dopaminergic synapse,and dopaminergic synapse,among other pathways.LC-MS/MS-based targeted metabolomics and Western blot(WB)revealed that tryptophan-serotonin-melatonin(Trp-5-HT-Mel)and tyrosine-norepinephrine-adrenaline(Tyr-Ne-Ad)are the key regulated pathways.Dopa decarboxylase(DDC)upregulation and phenylethanolamine N-methyltransferase(PNMT)downregulation further confirmed these pathways.Furthermore,MSI-based spatially resolved metabolomics revealed notable alterations in 5-HT in the pineal gland(PG),and Ad in the brainstem,including the middle brain(MB),pons(PN),and hypothalamus(HY).In summary,this study illustrates the efficacy of an integrated multidimensional metabolomics approach in unraveling the sedative-hypnotic effects and neurochemical mechanisms of a Chinese herbal medicine,YZ.

Objective To propose a CT truncated data reconstruction model(DDTrans)based on projection and image dual-domain Transformer coupled feature learning for reducing truncation artifacts and image structure distortion caused by insufficient field of view(FOV)in CT scanning.Methods Transformer was adopted to build projection domain and image domain restoration models,and the long-range dependency modeling capability of the Transformer attention module was used to capture global structural features to restore the projection data information and enhance the reconstructed images.We constructed a differentiable Radon back-projection operator layer between the projection domain and image domain networks to enable end-to-end training of DDTrans.Projection consistency loss was introduced to constrain the image forward-projection results to further improve the accuracy of image reconstruction.Results The experimental results with Mayo simulation data showed that for both partial truncation and interior scanning data,the proposed DDTrans method showed better performance than the comparison algorithms in removing truncation artifacts at the edges and restoring the external information of the FOV.Conclusion The DDTrans method can effectively remove CT truncation artifacts to ensure accurate reconstruction of the data within the FOV and achieve approximate reconstruction of data outside the FOV.

Objective:To investigate the association between gestational blood pressure and neurodevelopment in 2-year-old children.Methods:Based on the"Wuhan Healthy Baby Birth Cohort", 3 754 mother-infant pairs were enrolled in this study. Based on multiple blood pressure measurements during pregnancy, the mean, cumulative, and variability of blood pressure throughout the entire pregnancy and each trimester were calculated. Blood pressure variability was evaluated using standard deviation (SD), coefficient of variability (CV), and variability independent of mean (VIM). Follow-up testing of neurodevelopment in infants and young children at the age of two was conducted to obtain the Mental Development Index (MDI) and the Psychomotor Development Index (PDI). The multivariate linear regression and generalized estimation equation were used to analyze the association between gestational blood pressure data and neurodevelopmental index.Results:The age of 3 754 pregnant women was (29.1±3.6) years, with a pre-pregnancy BMI of (20.9±2.7) kg/m2 and a gestational age of (39.3±1.2) weeks. The birth weight of 3 754 children was (3 330.9±397.7) grams, and the birth length was (50.3±1.6) centimeters. The results of the multivariate linear regression analysis showed that after adjusting for relevant confounding factors, the mean blood pressure, cumulative blood pressure, standard deviation of blood pressure, coefficient of variation of blood pressure, independent blood pressure variability of systolic blood pressure, diastolic blood pressure, and pulse pressure throughout pregnancy were negatively associated with the MDI and PDI scores of 2-year-old children. The analysis results of the generalized estimation equation showed that after adjusting for relevant confounding factors, the average systolic blood pressure in the first, second, and third trimesters was negatively associated with MDI/PDI. The negative association between cumulative blood pressure and MDI/PDI was only found in the first trimester. The negative association between blood pressure variation during pregnancy and MDI/PDI was mainly concentrated in the second and third trimesters.Conclusion:There is a negative association between gestational blood pressure and the neurodevelopmental index of 2-year-old children.

Objective To propose a CT truncated data reconstruction model(DDTrans)based on projection and image dual-domain Transformer coupled feature learning for reducing truncation artifacts and image structure distortion caused by insufficient field of view(FOV)in CT scanning.Methods Transformer was adopted to build projection domain and image domain restoration models,and the long-range dependency modeling capability of the Transformer attention module was used to capture global structural features to restore the projection data information and enhance the reconstructed images.We constructed a differentiable Radon back-projection operator layer between the projection domain and image domain networks to enable end-to-end training of DDTrans.Projection consistency loss was introduced to constrain the image forward-projection results to further improve the accuracy of image reconstruction.Results The experimental results with Mayo simulation data showed that for both partial truncation and interior scanning data,the proposed DDTrans method showed better performance than the comparison algorithms in removing truncation artifacts at the edges and restoring the external information of the FOV.Conclusion The DDTrans method can effectively remove CT truncation artifacts to ensure accurate reconstruction of the data within the FOV and achieve approximate reconstruction of data outside the FOV.

Brain computer interface(BCI)is a rapidly developing rehabilitation technology in recent years, which has been gradually used for cognitive rehabilitation of stroke patients.BCI can activate brain regions related to cognition to a greater extent through motor imagery and neural feedback technology, promote functional connectivity between brain regions, and ameliorate cognitive impairment after stroke.This paper summarized the mechanisms involved in BCI promoting cognitive rehabilitation and current applications of BCI in post-stroke cognitive impairment, and identifies the shortcomings of BCI in the treatment of post-stroke cognitive impairment, in order to provide insight for the research and clinical practice of BCI in post-stroke cognitive rehabilitation.

Tongue diagnosis is an indispensable objective basis for TCM diagnosis and treatment of epidemic diseases.To understand its application in an epidemic situation and to support in the diagnosis and treatment of infectious diseases using traditional Chinese medicine,the tongue image APP was implemented in this study to monitor the tongue image features of patients with new coronavirus pneumonia.It has been discovered through practice that the tongue image APP enables medical professionals to objectively,conveniently,quickly,and flexibly collect the patient's tongue image.It has also been discovered through the analysis of the tongue image characteristic data that the tongue image APP can,to a certain extent,objectively reflect the general law of the tongue image characteristics of the new crown pneumonia.According to the tongue image data gathered by the Tongue Image APP,Xinguan pneumonia patients'tongues were typically red,their fur was typically white,yellow,or both white and yellow,and they had a greater amount of thick and greasy fur.Nevertheless,there are still several issues with the Tongue APP application that have been noted:①The consistency of tongue shape and coating was poor;for instance,the inconsistency rate between a thin and fat tongue was as high as 62.96%;②The tongue image analysis index in the APP is still mostly a qualitative index,and the degree of discriminating is insufficient.The results of this study demonstrate that the tongue image information of different ages,sexes,disease classifications,and onset times does not reflect obvious differences and certain rules.③The tongue image characteristic indexes gathered by the tongue image APP are insufficient and do not include information on glossiness of tongue image(such as dark tongue)and tongue state.To promote the adoption of the tongue image APP and better support the prevention and treatment of epidemic diseases by traditional Chinese medicine,we should fully integrate modern advanced science and technology,improve the short videos of tongue coating,quantification of qualitative indicators,comprehensive collection of tongue image characteristic indicators,etc.