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学者姓名：刘有军
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摘要 ：
本发明公开了一种磷酸盐介导的矿化胶原及其自组装方法和应用，具体涉及生物医用材料技术领域。所述方法包括在弱碱性条件下，利用可溶性多聚磷酸盐改性胶原纤维，得改性胶原纤维溶液；再在改性胶原纤维溶液中加入钙盐继续反应，得初始胶原纤维溶液；接着在初始胶原纤维溶液中加入碱性磷酸酶，控制pH，利用碱性磷酸酶调控胶原纤维的矿化，得矿化骨基质溶液；最后矿化骨基质溶液经清洗、离心、浓缩和冷冻干燥得磷酸盐介导的矿化胶原。本发明充分考虑了离子来源、化学反应平衡及化学因素添加顺序在矿化中的影响，构建了多因素协同调控体系，更好的模拟了体内复杂的骨基质矿化组装过程。
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| GB/T 7714 | 杜田明 , 乔爱科 , 杨海胜 et al. 一种磷酸盐介导的矿化胶原及其自组装方法和应用 : CN202310744975.4[P]. | 2023-06-21 . |
| MLA | 杜田明 et al. "一种磷酸盐介导的矿化胶原及其自组装方法和应用" : CN202310744975.4. | 2023-06-21 . |
| APA | 杜田明 , 乔爱科 , 杨海胜 , 刘有军 . 一种磷酸盐介导的矿化胶原及其自组装方法和应用 : CN202310744975.4. | 2023-06-21 . |
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摘要 ：
一种基于集中参数模型计算冠状动脉FFR并三维可视化的方法属于数值模拟领域，该方法包括以下步骤：基于患者真实冠脉CT图像进行三维建模，并对三维模型进行平滑、切割等一系列处理；基于最大内切球法的中心线提取算法对该模型进行中心线提取，得到其几何拓扑结构，同时得到血管几何参数(管腔半径、长度、狭窄入口面积、狭窄长度等)；基于集中参数模型，结合深度学习预测得到的冠状动脉狭窄阻力，进行个性化数值计算，得到该冠脉的FFR值；基于纹理映射等计算机图形学方法，把FFR值以彩色可视化的方式显示到冠脉三维模型上。
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| GB/T 7714 | 刘有军 , 郝耀东 , 李鲍 et al. 一种基于集中参数模型计算冠状动脉FFR并三维可视化的方法 : CN202310880011.2[P]. | 2023-07-18 . |
| MLA | 刘有军 et al. "一种基于集中参数模型计算冠状动脉FFR并三维可视化的方法" : CN202310880011.2. | 2023-07-18 . |
| APA | 刘有军 , 郝耀东 , 李鲍 , 冯懿俐 . 一种基于集中参数模型计算冠状动脉FFR并三维可视化的方法 : CN202310880011.2. | 2023-07-18 . |
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摘要 ：
本申请公开了一种基于神经血管耦合脑血流量预测系统，包括：结构连接矩阵生成模块，根据弥散张量成像数据得到结构连接矩阵；重新构建局部场电位模块，根据磁共振成像数据和头皮脑电数据建立局部场电位；功能连接矩阵生成模块，根据局部场电位生成功能连接矩阵；脑网络融合矩阵生成模块，将结构连接矩阵和功能矩阵融合生成脑网络融合矩阵；全脑逆向神经质量模型网络生成模块，建立单个逆向神经质量模型并形成全脑逆向神经质量模型网络；神经活动获取模块，根据逆向神经质量模型和局部场电位获取神经活动；脑血流量计算模块，神经活动输入到神经调控血流动力学系统得到脑血流量。通过本申请，提高脑血流量预测准确性，不会对检测对象造成伤害。
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| GB/T 7714 | 张丽媛 , 王同娜 , 刘有军 et al. 一种基于神经血管耦合脑血流量的预测系统 : CN202310580124.0[P]. | 2023-05-22 . |
| MLA | 张丽媛 et al. "一种基于神经血管耦合脑血流量的预测系统" : CN202310580124.0. | 2023-05-22 . |
| APA | 张丽媛 , 王同娜 , 刘有军 , 李鲍 . 一种基于神经血管耦合脑血流量的预测系统 : CN202310580124.0. | 2023-05-22 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Sigmoid sinus wall dehiscence (SSWD) is a common pathophysiology of patients with pulsatile tinnitus (PT). However, the pathological mechanism of SSWD is unclear. This study aimed to investigate the relationship between the position of the SSWD and blood flow pattern of the transverse sinus and sigmoid sinus (TS-SS) junction. The impact of the blood flow was hypothesized to be the pathological mechanism of SSWD. Twenty patients and two healthy volunteers were analyzed retrospectively, and transient computer fluid dynamics was used to verify this hypothesis. A 4D flow magnetic resonance imaging experiment was performed to validate the numerical simulation. The position of high-velocity blood flow impacting the vessel wall (17/20) was consistent with SSWD. In healthy volunteers, the temporal bone was thin where the blood flow impacted the blood vessel wall. The average wall shear stress (20/20) and pressure (18/20) of the SSWD area (peak) were higher than those of sigmoid sinus wall anomalies (the contact area between the vessel wall and the temporal bone at the TS-SS junction). The average wall pressure percentage differences of 16/20, 11/20, and 4/20 patients were more than 5%, 10%, and 20%, respectively. The average wall shear stress percentage differences of 20/20, 18/20, and 16/ 20 patients were more than 5%, 10%, and 20%, respectively. In brief, the blood flow of the TS-SS junction impacted the vessel wall and increased wall pressure, which might be an important pathological mechanism of SSWD. This study could serve as a basis for the diagnosis and SSWD resurfacing surgery of patients with PT induced by SSWD.
关键词 ：
Computational fluid dynamics Computational fluid dynamics Transverse sinus and sigmoid sinus junction Transverse sinus and sigmoid sinus junction Pulsatile tinnitus Pulsatile tinnitus 4D flow MRI 4D flow MRI Sigmoid sinus wall dehiscence Sigmoid sinus wall dehiscence
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| GB/T 7714 | Mu, Zhenxia , Li, Xiaoshuai , Zhao, Dawei et al. Hemodynamics study on the relationship between the sigmoid sinus wall dehiscence and the blood flow pattern of the transverse sinus and sigmoid sinus junction [J]. | JOURNAL OF BIOMECHANICS , 2022 , 135 . |
| MLA | Mu, Zhenxia et al. "Hemodynamics study on the relationship between the sigmoid sinus wall dehiscence and the blood flow pattern of the transverse sinus and sigmoid sinus junction" . | JOURNAL OF BIOMECHANICS 135 (2022) . |
| APA | Mu, Zhenxia , Li, Xiaoshuai , Zhao, Dawei , Qiu, Xiaoyu , Dai, Chihang , Meng, Xuxu et al. Hemodynamics study on the relationship between the sigmoid sinus wall dehiscence and the blood flow pattern of the transverse sinus and sigmoid sinus junction . | JOURNAL OF BIOMECHANICS , 2022 , 135 . |
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摘要 ：
Objective: After coronary artery bypass grafting (CABG) surgery, the main causes of poor instant patency of left internal mammary arteries (LIMAs) are competitive flow and anastomotic stenosis, but how to determine the cause of LIMA non-patency without interfering with the native coronary artery is still a difficult problem to be solved urgently.Methods: In this study, a 0D-3D coupled multiscaled CABG model of anastomotic stenosis and competitive flow was constructed. After calculation, the flow waveform of the LIMA was extracted, and the waveform shape, common clinical parameters (average flow, PI, and DF), and graft flow FFT ratio results (F0/H1 and F0/H2) were analyzed.Results: For LIMA, these three common clinical parameters did not differ significantly between the anastomotic stenosis group and competitive flow group. However, the waveform shape and FFT ratio (especially F0/H2) of the competitive flow group were significantly different from those of the anastomotic stenosis group. When the cause was competitive flow, there was systolic backflow, and F0/H2 was too high (>14.89). When the cause was anastomotic stenosis, the waveform maintained a bimodal state and F0/H2 was in a normal state (about 1.17).Conclusion: When poor instant patency of the LIMA is found after CABG, the causes can be determined by graft flow waveform shape and F0/H2.
关键词 ：
graft patency graft patency multiscaled model multiscaled model lumped parameter model lumped parameter model computational fluid dynamics computational fluid dynamics coronary artery bypass grafting coronary artery bypass grafting
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| GB/T 7714 | Mao, Boyan , Feng, Yue , Duan, Mengyao et al. A Novel Method to Determine the Cause of Left Internal Mammary Artery Instant Non-Patency Based on Transit Time Flow Measurement [J]. | FRONTIERS IN PHYSIOLOGY , 2022 , 13 . |
| MLA | Mao, Boyan et al. "A Novel Method to Determine the Cause of Left Internal Mammary Artery Instant Non-Patency Based on Transit Time Flow Measurement" . | FRONTIERS IN PHYSIOLOGY 13 (2022) . |
| APA | Mao, Boyan , Feng, Yue , Duan, Mengyao , Dong, Yihang , Li, Gaoyang , Li, Bao et al. A Novel Method to Determine the Cause of Left Internal Mammary Artery Instant Non-Patency Based on Transit Time Flow Measurement . | FRONTIERS IN PHYSIOLOGY , 2022 , 13 . |
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摘要 ：
Background: The underuse of invasive fraction flow reserve (FFR) in clinical practice has motivated research towards its non-invasive prediction. The early attempts relied on solving the incompressible three-dimensional Navier-Stokes equations in segmented coronary arteries. However, transient boundary condition has a high resource intensity in terms of computational time. Herein, a method for calculating FFR based on steady-state geometric multiscale (FFRSS) is proposed.Methods: A total of 154 moderately stenotic vessels (40-80% diameter stenosis) from 136 patients with stable angina were included in this study to validate the clinical diagnostic performance of FFRSS. The method was based on the coronary artery model segmented from the patient's coronary CTA image. The average pressure was used as the boundary condition for the inlet, and the microcirculation resistance calculated by the coronary flow was used as the boundary condition for the outlet to calculate the patient-specific coronary hyperemia. Then, the flow velocity and pressure distribution and the FFRss of each coronary artery branch were calculated to evaluate the degree of myocardial ischemia caused by coronary stenosis. Also, the FFRSS and FFRCT of all patients were calculated, and the clinically measured FFR was used as the "gold standard" to verify the diagnostic performance of FFRSS and to compare the correlation between FFRSS and FFRCT.Results: According to the FFRSS calculation results of all patients, FFRSS and FFR have a good correlation (r = 0.68, p < 0.001). Similarly, the correlation of FFRSS and FFRCT demonstrated an r of 0.75 (95%CI: 0.67-0.72) (p < 0.001). On receiver-operating characteristic analysis, the optimal FFRSS cut point for FFR <= 0.80 was 0.80 (AUC:0.85 [95% confidence interval: 0.79 to 0.90]; overall accuracy:88.3%). The overall sensitivity, specificity, PPV, and NPV for FFRSS <= 0.80 versus FFR <= 0.80 was 68.18% (95% CI: 52.4-81.4), 93.64% (95% CI: 87.3-97.4), 82.9%, and 91.1%, respectively.Conclusion: FFRSS is a reliable diagnostic index for myocardial ischemia. This method was similar to the closed-loop geometric multiscale calculation of FFR accuracy but improved the calculation efficiency. It also improved the clinical applicability of the non-invasive computational FFR model, helped the clinicians diagnose myocardial ischemia, and guided percutaneous coronary intervention.
关键词 ：
non-invasive diagnosis of myocardial ischemia non-invasive diagnosis of myocardial ischemia geometric multiscale geometric multiscale coronary heart disease coronary heart disease fast calculation of FFR fast calculation of FFR fractional flow reserve fractional flow reserve
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| GB/T 7714 | Liu, Jincheng , Wang, Xue , Li, Bao et al. Non-Invasive Quantification of Fraction Flow Reserve Based on Steady-State Geometric Multiscale Models [J]. | FRONTIERS IN PHYSIOLOGY , 2022 , 13 . |
| MLA | Liu, Jincheng et al. "Non-Invasive Quantification of Fraction Flow Reserve Based on Steady-State Geometric Multiscale Models" . | FRONTIERS IN PHYSIOLOGY 13 (2022) . |
| APA | Liu, Jincheng , Wang, Xue , Li, Bao , Huang, Suqin , Sun, Hao , Zhang, Liyuan et al. Non-Invasive Quantification of Fraction Flow Reserve Based on Steady-State Geometric Multiscale Models . | FRONTIERS IN PHYSIOLOGY , 2022 , 13 . |
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摘要 ：
一种基于元学习神经网络预测中心动脉压的方法，涉及人工智能领域。包括以下步骤：S1.获取患者中心动脉压力波形及生理指标(性别、身高、体重、身体指数、年龄、心率、收缩压、舒张压、平均动脉压、心输出量)；S2.基于高斯函数叠加法进行波形分解，获取高斯特征参数(ai, bi, ci, i＝1, 2, 3, 4)；S3.探究患者生理指标与高斯特征参数之间的显著性关系，选择具有显著相关性的生理指标作为输入数据；S4.基于生理指标和高斯特征参数建立元学习数据集；S5.搭建神经网络，基于元学习算法预测高斯特征参数，进而获得中心动脉压，并将预测波形与临床实测波形进行对比验证。
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| GB/T 7714 | 刘有军 , 马俊玲 , 李鲍 et al. 一种基于元学习神经网络预测中心动脉压的方法 : CN202211483496.3[P]. | 2022-11-24 . |
| MLA | 刘有军 et al. "一种基于元学习神经网络预测中心动脉压的方法" : CN202211483496.3. | 2022-11-24 . |
| APA | 刘有军 , 马俊玲 , 李鲍 , 刘金城 , 李娜 , 王雪 et al. 一种基于元学习神经网络预测中心动脉压的方法 : CN202211483496.3. | 2022-11-24 . |
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摘要 ：
一种预测个性化体外反搏血流动力学效应的仿真方法，属于血流动力学建模领域。本发明包括以下步骤：基于三参数windkessel理论建立血液循环系统零维集中参数模型；基于患者真实血流动力学参数，开发优化算法实现集中参数模型的个性化；利用个性化模型模拟不同反搏模式下患者的体外反搏血流动力学效应，计算血流动力学指标，从而实现个性化体外反搏血流动力学效应的预测。
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| GB/T 7714 | 李鲍 , 刘有军 , 陈明岩 et al. 一种预测个性化体外反搏血流动力学效应的仿真方法 : CN202211552512.X[P]. | 2022-12-05 . |
| MLA | 李鲍 et al. "一种预测个性化体外反搏血流动力学效应的仿真方法" : CN202211552512.X. | 2022-12-05 . |
| APA | 李鲍 , 刘有军 , 陈明岩 , 许可 , 温传棋 . 一种预测个性化体外反搏血流动力学效应的仿真方法 : CN202211552512.X. | 2022-12-05 . |
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摘要 ：
一种基于物理驱动预测静息冠状动脉微循环阻力的方法，属于组合优化算法领域。该方法基于患者的CTA图像，重建个性化冠状动脉三维血管解剖模型；并通过解剖模型，利用基于自然生长法则的血管标度率，分配患者在理想状态的冠脉血流量，建立一种模拟理想状态微循环阻力的方法；依据冠脉微循环阻力代偿机制，使用基于物理驱动的方法迭代优化调整微循环阻力值，使冠脉模型入口压力与患者个性化主动脉压力值相匹配，从而建立一种符合生理机制的高保真静息状态血流动力学的方法。本发明实现了冠脉静息状态的模拟，构建了一种精确模拟静息状态冠脉微循环阻力的方法，为实现无创计算瞬时无波幅比提供精确的个性化边界条件。
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| GB/T 7714 | 刘有军 , 刘金城 , 李鲍 et al. 一种基于物理驱动预测静息冠状动脉微循环阻力的方法 : CN202211446149.3[P]. | 2022-11-18 . |
| MLA | 刘有军 et al. "一种基于物理驱动预测静息冠状动脉微循环阻力的方法" : CN202211446149.3. | 2022-11-18 . |
| APA | 刘有军 , 刘金城 , 李鲍 , 黄素琴 , 孙昊 , 马俊玲 . 一种基于物理驱动预测静息冠状动脉微循环阻力的方法 : CN202211446149.3. | 2022-11-18 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
一种针对头颈动脉狭窄患者的脑血流自调节模拟方法，属于血流动力学领域。建立脑部微动脉交感神经和迷走神经信号数学模型，模拟脑灌注压变化时神经活动，从而建立脑血流自调节机制的自主神经调节数学模型；模拟脑灌注压变化时脑部微动脉血管平滑肌运动，从而建立脑血流自调节机制的血管平滑肌反射调节数学模型；模拟脑灌注压变化时脑部微动脉血管剪切应力调节促使血管产生舒缩运动，从而建立脑血流自调节机制的剪切应力调节数学模型；针对头颈动脉狭窄患者，依据不同狭窄程度优化自主神经调节功能，建立脑血流自调节数学模型；建立人体血液循环系统集中参数模型，将脑血流自调节模型加入集中参数模型，模拟不同体外反搏压力下的脑血流‑灌注压。
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| GB/T 7714 | 李鲍 , 刘有军 , 刘金城 et al. 一种针对头颈动脉狭窄患者的脑血流自调节模拟方法 : CN202211550873.0[P]. | 2022-12-05 . |
| MLA | 李鲍 et al. "一种针对头颈动脉狭窄患者的脑血流自调节模拟方法" : CN202211550873.0. | 2022-12-05 . |
| APA | 李鲍 , 刘有军 , 刘金城 , 孙昊 . 一种针对头颈动脉狭窄患者的脑血流自调节模拟方法 : CN202211550873.0. | 2022-12-05 . |
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