导师风采
隋滨滨
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个人信息

Personal Information

  • 主任医师
  • 导师类别:硕士,博士生导师
  • 性别: 女
  • 学历:博士研究生
  • 学位:博士

联系方式

Contact Information

  • 所属院系:附属北京天坛医院
  • 所属专业: 放射影像学
  • 邮箱 : reneesui@163.com
  • 工作电话 : 010-59975695

个人简介

Personal Profile

主任医师,教授,硕士,博士生导师。现任首都医科大学附属北京天坛医院天坛神经影像中心副主任。2012年入选美国华盛顿大学血管放射实验室交流访问学者。专长为神经系统影像诊断与研究,主要研究方向为脑血管病成像、颅颈动脉血管成像及超高场MR成像。现任中国研究型医院神经影像与神经再生专委会常委;北京放射学分会科研转化学组、磁共振学组委员;中国卒中学会青年理事、血流与代谢分会委员;北京神经内科学会神经影像专委会常委、脑科学与人工智能专委会常委;福建省海医会智能影像与信息化分会副主委。Society for Magnetic Resonance Angiography, Educational Committee member;Acta Radiologica杂志编委。中华放射学杂志、国际医学放射学杂志、放射学实践杂志通讯编委。

  • 研究方向Research Directions
颅颈血管成像,超高场MR成像,磁共振新技术应用,动脉粥样硬化斑块成像,基于影像数据的人工智能
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
项目情况

1. 国家自然科学基金,62271061,基于颈动脉高危斑块—复杂血流图像特征分析的脑卒中风险智能评估方法研究,2023.1-2026.12,在研,主持;

2.北京市自然科学基金,L232130,基于人工智能和多模态影像数据的颅内动脉粥样硬化病变精准 评估及预测模型研究,2023.11-2026.12,在研,主持;

3.北京市自然科学基金,7212028,基于7T 超高场 MR 成像的脑小血管病患者颅内动脉搏动性血流动力学研究,2021.1-2023.12,已结题,主持;

3. 国家重点研发计划,神经变性病影像大数据管理与判读分析平台建立,分中心拨款24万,2018.06-2020.06 子课题分中心负责人;已结题,主持;

4. 北京市自然科学基金,7162056,基于4Dflow MR成像的大脑中动脉狭窄相关在体血流动力学研究,2016.1-2019.12,已结题,主持;

5. 北京市卫生系统高层次卫生技术人才-学术骨干,2015-3-037,颅内动脉高分辨MR成像及血流动力学研究,2015.12-2018.12,已结题,主持;

6. 国家自然科学基金, 81301193, 基于MR成像的颅内willis环结构与颈动脉血流动力学状态相关性的实验研究,2014.1- 2016.12, 已结题,主持;

7. 北京市自然科学基金,7133238,基于MR成像的颈动脉分叉三维几何形态分析及在体血流动力学研究,2013.01-2014.06,已结题,主持;

8. 首都卫生发展科研专项,首发2011-1015-05,功能磁共振成像对面神经损伤患者功能区定位及面神经重建术预后评估研究,2012.06-2015.05,已结题,主持;

9. 北京市优秀人才培养资助项目,2011D003400024,颈动脉粥样硬化斑块MR高分辨成像与局部流场重建研究,2011.12-2013.12,已结题,主持;

10. 北京市卫生局青年科学研究资助项目,Q2010-016,应用MR技术评估动脉粥样硬化斑块易损性与血流动力学相关性研究,2010.06-2012.06,已结题,主持;

11. 北京市科技新星项目 (2009A30)2009.12-2012.12,已结题,主持;


科研项目

1. 国家自然科学基金,62271061,基于颈动脉高危斑块—复杂血流图像特征分析的脑卒中风险智能评估方法研究,2023.1-2026.12,在研,主持;

2.北京市自然科学基金,L232130,基于人工智能和多模态影像数据的颅内动脉粥样硬化病变精准 评估及预测模型研究,2023.11-2026.12,在研,主持;

3.北京市自然科学基金,7212028,基于7T 超高场 MR 成像的脑小血管病患者颅内动脉搏动性血流动力学研究,2021.1-2023.12,已结题,主持;

3. 国家重点研发计划,神经变性病影像大数据管理与判读分析平台建立,分中心拨款24万,2018.06-2020.06 子课题分中心负责人;已结题,主持;

4. 北京市自然科学基金,7162056,基于4Dflow MR成像的大脑中动脉狭窄相关在体血流动力学研究,2016.1-2019.12,已结题,主持;

5. 北京市卫生系统高层次卫生技术人才-学术骨干,2015-3-037,颅内动脉高分辨MR成像及血流动力学研究,2015.12-2018.12,已结题,主持;

6. 国家自然科学基金, 81301193, 基于MR成像的颅内willis环结构与颈动脉血流动力学状态相关性的实验研究,2014.1- 2016.12, 已结题,主持;

7. 北京市自然科学基金,7133238,基于MR成像的颈动脉分叉三维几何形态分析及在体血流动力学研究,2013.01-2014.06,已结题,主持;

8. 首都卫生发展科研专项,首发2011-1015-05,功能磁共振成像对面神经损伤患者功能区定位及面神经重建术预后评估研究,2012.06-2015.05,已结题,主持;

9. 北京市优秀人才培养资助项目,2011D003400024,颈动脉粥样硬化斑块MR高分辨成像与局部流场重建研究,2011.12-2013.12,已结题,主持;

10. 北京市卫生局青年科学研究资助项目,Q2010-016,应用MR技术评估动脉粥样硬化斑块易损性与血流动力学相关性研究,2010.06-2012.06,已结题,主持;

11. 北京市科技新星项目 (2009A30)2009.12-2012.12,已结题,主持;

作为主要研究人员参与项目:

1.     重金属蓄积通过磁性机制影响颈动脉斑块稳定性的研究, 国家自然科学基金(81971090)2020.1-2023.12

2.     急性脑梗死的责任病灶:组织学及磁共振成像评估研究,国自然-NIH 合作课题 2014.01 - 2016.12 课题组中方协调员

3.     急性缺血性脑卒中影像学早期识别关键技术与评估研究,国家十二五科技支撑计划课题 2011.09-2015.12 

4.     基于 MRA 的颈动脉分叉复杂血流管壁切应力建模研究,北京市自然科学基金 2009.01-2012.12 

5.     脑血管疾病的早期综合影像学诊断和比较影像学研究,国家十一五科技支撑计划重点课题 2007.10-2010.12 子课题负责人


发表文章

1.    Zhang X, Pei X, Shi Y, Yang Y,Bai X, Chen T, Zhao Y, Yang Q, Ye J, Leng X, Yang Q, Bai R, Wang Y, Sui B.Unveiling connections between venous disruption and cerebral small vesseldisease using diffusion tensor image analysis along perivascular space(DTI-ALPS): A 7-T MRI study. Int J Stroke. 2024 Nov 6:17474930241293966.

2.    Mei Y, Qiu D, Xiong Z, Li X,Zhang P, Zhang M, Zhang X, Zhang Y, Yu X, Ge Z, Wang Z, Sui B, Wang Y, Tang H.Disrupted topologic efficiency of white matter structural connectome inmigraine: a graph-based connectomics study. J Headache Pain. 2024 Nov 25;25(1):204.

3.    Zhang D, Zong F, Mei Y, Zhao K,Qiu D, Xiong Z, Li X, Tang H, Zhang P, Zhang M, Zhang Y, Yu X, Wang Z, Liu Y,Sui B, Wang Y. Morphological similarity and white matter structural mapping ofnew daily persistent headache: a structural connectivity and tract-specificstudy. J Headache Pain. 2024 Nov 4;25(1):191.

4.    Sui B, Sannananja B, Zhu C,Balu N, Eisenmenger L, Baradaran H, Edjlali M, Romero JM, Rajiah PS, Li R,Mossa-Basha M. Report from the society of magnetic resonance angiography:clinical applications of 7T neurovascular MR in the assessment of intracranialvascular disease. J Neurointerv Surg. 2024 Jul 16;16(8):846-851.

5.    Kang H, Tian DC, Yang X, ZhangY, Li W, Sui B, Duan Y, Zhang Y, Liu J, Wang K, Wang A, Turhon M, Mossa-BashaM, Levitt MR, Hasan D, Zhu C. A Randomized Controlled Trial of Statins toReduce Inflammation in Unruptured Cerebral Aneurysms. JACC Cardiovasc Imaging.2022 Sep;15(9):1668-1670.

6.    Chen T, Bai X, Wang W, Zhang X,Pei X, Zhang X, Yuan Z, Zhao Y, Yang Q, Wang Y, Sui B. Gamma-aminobutyric acidand glutamate/glutamine levels in the dentate nucleus and periaqueductal grayin new daily persistent headache: a magnetic resonance spectroscopy study. JHeadache Pain. 2024 Aug 29;25(1):142.

7.    Bai X, Fan P, Li Z, Mossa-BashaM, Ju Y, Zhao X, Kong Q, Pei X, Zhang X, Sui B, Zhu C. Evaluating MiddleCerebral Artery Plaque Characteristics and Lenticulostriate Artery MorphologyAssociated With Subcortical Infarctions at 7T MRI. J Magn Reson Imaging. 2024Mar;59(3):1045-1055.

8.    Zhang X, Wang Y, Jiao B, WangZ, Shi J, Zhang Y, Bai X, Li Z, Li S, Bai R, Sui B. Glymphatic systemimpairment in Alzheimer's disease: associations with perivascular space volumeand cognitive function. Eur Radiol. 2024 Feb;34(2):1314-1323.

9.    Wang W, Qiu D, Mei Y, Bai X,Yuan Z, Zhang X, Xiong Z, Tang H, Zhang P, Zhang Y, Yu X, Wang Z, Ge Z, Sui B,Wang Y. Altered functional connectivity of brainstem nuclei in new dailypersistent headache: Evidence from resting-state functional magnetic resonanceimaging. CNS Neurosci Ther. 2024 Mar;30(3):e14686.

10. 裴迅 , 张雪 , 白晓燕 , 李雨桉 , 陈通 , 赵元宾 , 隋滨滨. 7 T 与3 T MRI对健康人脑内灰质核团铁沉积的定量比较[J]. 国际医学放射学杂志,2024, 47(4): 418-424

11. 白晓燕 , 隋滨滨. 7 T MR血管成像对颅内动脉粥样硬化病变评估的进展[J]. 国际医学放射学杂志,2024, 47(4): 425-430

12. Sui B*, Sannananja B, ZhuC, Balu N, Eisenmenger L, Baradaran H, Edjlali M, Romero J, Rajiah P, Li R,Mossa-Basha M*. Report from the Society of Magnetic Resonance Angiography:Clinical applications of 7T Neurovascular MR in the assessment of intracranialvascular disease. JNIS Accepted.

13. Zhang X, Wang Y, Jiao B, WangZ, Shi J, Zhang Y, Bai X, Li Z, Li S, Bai R, Sui B. Glymphatic systemimpairment in Alzheimer's disease: associations with perivascular space volumeand cognitive function. Eur Radiol. 2023 Aug 23.

14. Shen M, Gao P, Chen S, Zhao X,Li R, Du W, Yuan C, Hatsukami T, Sui B*. Differences in Distribution andFeatures of Carotid and Middle Cerebral Artery Plaque in patients with PialInfarction and Perforating Artery Infarction: a 3D Vessel Wall Imaging Study.EJR In Press. 2023Oct;167:111045. 

15. Bi J#, Li Z#, Zhang X#, Bai X,Kong Q, An J, Mo D, Sui B*. Differentiation between the low and hightrans-stenotic pressure gradient in patients with idiopathic intracranialhypertension using 4D flow MRI-derived hemodynamic parameters. J Magn ResonImaging. J Magn Reson Imaging. 2023 Aug 14. 

16. Mei Y, Wang W, Qiu D, Yuan Z,Bai X, Tang H, Zhang P, Zhang X, Zhang Y, Yu X, Sui B*, Wang Y*.Micro-structural white matter abnormalities in new daily persistent headache: aDTI study using TBSS analysis. J Headache Pain. 2023 Jul 2;24(1):80.

17. Bai X, Fan P, Li Z, Mossa-BashaM, Ju Y, Zhao X, Kong Q, Pei X, Zhang X, Sui B*, Zhu C. Evaluating MiddleCerebral Artery Plaque Characteristics and Lenticulostriate Artery MorphologyAssociated with Subcortical Infarctions at 7T MRI. J Magn Reson Imaging. 2023Jun 1. 

18. Zhang X#, Wang Y#, Jiao B, WangZ, Shi J, Zhang Y, Bai X, Li Z, Li S*, Bai R*, Sui B*. Glymphatic systemimpairment in Alzheimer's Disease: relationships with perivascular space volumeand cognitive function. European Radiology, In Press.

19. Wang W, Yuan Z, Zhang X, Bai X,Tang H, Mei Y, Qiu D, Zhang Y, Zhang P, Zhang X, Zhang Y, Yu X, Sui B*, WangY*. Mapping the aberrant brain functional connectivity in new daily persistentheadache: a resting-state functional magnetic resonance imaging study. JHeadache Pain. 2023 Apr 26;24(1):46. 

20. Zhang X, Wang W, Zhang X, BaiX, Yuan Z, Zhang P, Bai R, Jiao B, Zhang Y, Li Z, Tang H, Zhang Y, Yu X, WangY*, Sui B*. Normal glymphatic system function in patients with new dailypersistent headache using diffusion tensor image analysis along the perivascularspace. Headache. 2023 May;63(5):663-671.

21. Zhang X#, Wang W#, Bai X, MeiY, Tang H, Yuan Z, Zhang X, Li Z, Zhang P, Hu Z, Zhang Y, Yu X, Sui B*, WangY*. Alterations in regional homogeneity and multiple frequency amplitudes oflow-frequency fluctuation in patients with new daily persistent headache: aresting-state functional magnetic resonance imaging study. J Headache Pain.2023 Feb 23;24(1):14.

22. Zhang Y, Wang Y, Li Z, Wang Z,Cheng J, Bai X, Hsu YC, Sun Y, Li S, Shi J*, Sui B*, Bai R*.Vascular-water-exchange MRI (VEXI) enables the detection of subtle AXRalterations in Alzheimer's disease without MRI contrast agent, which may relateto BBB integrity. Neuroimaging. 2023 Feb 18;270:119951. 

23. Zhang X, Wang W, Bai X, ZhangY, Yuan Z, Tang H, Zhang X, Li Z, Zhang P, Hu Z, Zhang Y, Yu X, Man X, Sui B*,Wang Y*. Changes in gamma-aminobutyric acid and glutamate/glutamine levels inthe right thalamus of patients with episodic and chronic migraine: A protonmagnetic resonance spectroscopy study. Headache. 2023 Jan;63(1):104-113.

24. Bai X#, Wang W#, Zhang X#, HuZ, Zhang Y, Li Z, Zhang X, Yuan Z, Tang H, Zhang Y, Yu X, Zhang P, Wang Y*, SuiB*. Cerebral perfusion variance in new daily persistent headache and chronicmigraine: an arterial spin-labeled MR imaging study. J Headache Pain 2022, 23(156). 

25. Kang H#, Bai X#, Zhang Y, ZhouW, Ju Y, Yang X, Sui B*, Zhu C. Predictors of improvement for patients with CNSvasculitis stenoses: A high-resolution vessel wall MRI follow-up study. Eur JRadiol. 2022 Nov 25;158:110619. 

26. Yuan Z#, Wang W#, Zhang X, BaiX, Tang H, Mei Y, Zhang P, Qiu D, Zhang X, Zhang Y, Yu X, Sui B*, Wang Y*.Altered functional connectivity of the right caudate nucleus in chronicmigraine: a resting-state fMRI study. J Headache Pain. 2022 Dec 2;23(1):154.

27. Bai X, Fu M, Li Z, Gao P, ZhaoH, Li R*, Sui B*. Distribution and regional variation of wall shear stress inthe curved middle cerebral artery using four-dimensional flow magneticresonance imaging. Quant Imaging Med Surg. 2022 Dec;12(12):5462-5473.

28. Kou WY, Wang XM, ZhengYC, ZhaoJJ, Cai HH, Chen HM, Sui BB*, Feng T*. Freezing of gait in Parkinson'sdiseaseis associated with the microstructural andfunctional changes of GPi.Frontiersin Aging Neuroscience. Accepted. 

29. Peng F, Liu L, Niu H, Feng X,Zhang H, He X, Xia J, Xu B, Bai X, Li Z,Sui B*, Liu A*. Comparisons betweencross-section and long-axis-section inquantification of aneurysmal wallenhancement of fusiform intracranialaneurysms in identifying aneurysmal symptoms.Front. Neurol.10.3389/fneur.2022.945526. 

30. Wang W#, Zhang X#,Bai X#, ZhangY, Yuan Z, Tang H, Li Z, Hu Z, Zhang Y, Yu X, Sui B*, WangY*.Gamma-aminobutyric acid and glutamate/glutamine levels in the dentatenucleusand periaqueductal gray with episodic and chronic migraine: a protonmagneticresonance spectroscopy study. J Headache Pain. 2022 Jul15;23(1):83. 

31. Wang L, Zhang Y, Sui B*,Zhao X,Ji R*. Microaneurysm Diagnosed With 7T Magnetic Resonance Imaging.Stroke. 2022Jun; 53(6):e224-e225. 

32. Fan P, Shan W, Yang H,Zheng Y,Wu Z, Chan SW, Wang Q, Gao P, Liu Y*, He K*, Sui B*. CerebralMicrobleedAutomatic Detection System Based on the "Deep Learning".Front Med(Lausanne). 2022 Mar 24;9:807443. 

33. Li Z, Bai X, Gao P, LinY, Ju Y,Sui B*. Changes of prominent vessel sign and susceptibility vesselsign in acuteischemic stroke patients with and without successful recanalization:a studybased on susceptibility weighted images. Neurol Res. 2022 Jan 10:1-8.

34. Kang H, Liang J, ZhangY, Li Z,Yang X, Sui B*. Imaging Features of Symptomatic MCA Stenosis inPatients ofDifferent Ages: A Vessel Wall MR Imaging Study. AJNR Am JNeuroradiol. 2021Nov;42(11):1934-194\.

35. Sui B, Bai X, Gao P*,Lin Y,Zhang Y, Liang J, Yang X. High-resolution vessel wall magnetic resonanceimagingfor depicting imaging features of unruptured intracranialvertebrobasilardissecting aneurysms. J Int Med Res. 2021 Feb;49(2):300060520977388.

36. Li Z, Cao J, Bai X, GaoP, ZhangD, Lu X, Sui B*. Utility of Dual-Layer Spectral Detector CTA toCharacterizeCarotid Atherosclerotic Plaque Components: AnImaging-Histopathology Comparisonin Patients Undergoing Endarterectomy. AJR AmJ Roentgenol. 2022 Mar;218(3):517-525.

37. Bai X, Gao P, Zhang D,Zhang S,Liang J, Lu X, Sui B*. Plaque burden assessment and attenuationmeasurement ofcarotid atherosclerotic plaque using virtual monoenergeticimages in comparisonto conventional polyenergetic images from dual-layerspectral detector CT. Eur JRadiol. 2020 Nov; 132: 109302.

38. 白晓燕, 隋滨滨*. 基于四维血流MRI的颅内血流动力学评估进展. 中华放射学杂志, 2021, 55(4) :461-464. 

39. Sui B*, Gao P.High-resolutionvessel wall magnetic resonance imaging of carotid andintracranial vessels. ActaRadiol. 2019 Oct; 60(10):1329-1340. 

40. Sui B*. Flow Diversion ofCerebral Aneursyms. Acta Radiologica. 2018

41. Sui B*, Gao P.Imagingevaluation of acute ischemic stroke. J Int Med Res.2020Jan;48(1):300060518802530. 

42. Ma N, Xu Z, Lyu J, Li M, Hou Z,Liu Y, Yang M, Mo D, Gao F, Song L, Sun X, Liu L, Liu X, Sui B, Shen M, Ma L,Wang Y, Wang Y, Miao Z, Lou X. Association of Perforator Stroke After BasilarArtery Stenting With Negative Remodeling. Stroke. 2019 Mar;50(3):745-749.

43. 崔勇, 金光玉, 孙胜军, 李良,金鹤,隋滨滨*. 颈动脉狭窄患者术前 CT 灌注成像特点及临床意义研究.中国全科医学, 2018,21(24):2997-3000.

44. Liang J, GaoP, Lin Y, Song L,Qin H, Sui B*. Susceptibility-weighted imaging inpost-treatment evaluation inthe early stage in patients with acute ischemicstroke. J Int Med Res. 2019Jan;47(1):196-205. 

45. 隋滨滨, 高培毅*, 林燕, 赵海清, 宋立刚. 应用磁共振 4D flow 成像对正常颅内前循环动脉血流动力学参数定量评估的可重复性研究. 首都医科大学学报 2018; 39 (2): 157-162.

46. 隋滨滨, 高培毅*, 林燕, 赵海清, 荆利娜, 沈宓, 宋立刚, 邓一鸣.  4D 血流 MR 成像评估颅内动脉血流动力学状态的实验研究. 国际医学放射学杂志2017Nov40(6):641-646.

47. Tian Z, Chen J, ZhangY, Liu J,Wang Y, Sui B*, Yang X*. Quantitative Analysis of Intracranial VertebrobasilarDissectingAneurysm with Intramural Hematoma after Endovascular Treatment Using3THigh-resolution MRI. World Neurosurg. 2017 Dec;108:236-243. 

48. 颅内动脉夹层的影像学诊断中国专家共识. 中华神经外科杂志2016;32(11):1085-1094. 杨新健, 高培毅, 隋滨滨, 张义森共同执笔.

49. 隋滨滨, 高培毅*, 林燕, 荆利娜, 薛静. CT灌注成像评估Moyamoya病再灌注术后脑血流灌注状态的实验研究。医学研究杂志2015 44(9):26-30. 

50. 隋滨滨, 高培毅*, 林燕, 孙胜军, 薛静. 脑血管病影像教学中多元立体化教学模式的应用初探. 中国卒中杂志.201510 (5): 447-449

51. Sui B, Gao P*, Lin Y,Jing L,Qin H. Distribution and features of middle cerebral arteryatheroscleroticplaques in symptomatic patients: a 3.0 T high-resolution MRIstudy. Neurol Res.2015 May;37(5):391-6. 

52. Sui B, Gao P*, Lin Y,Jing L,Sun S, Qin H. Hemodynamic parameters distribution of upstream, stenosiscenter,and downstream sides of plaques in carotid artery with differentstenosis: a MRIand CFD study. Acta Radiol. 2015 Mar;56(3):347-54. 

53. 隋滨滨,  高培毅*,  林燕, 荆利娜,  秦海强. 三维可变翻转角快速自旋回波成像技术在颈动脉高分辨磁共振成像中的应用. 中国卒中杂志.2014;9 (11): 911-916.

54. 隋滨滨, 薛蕴菁, 高培毅*. 基于磁共振成像的颈动脉粥样硬化相关血流动力学研究进展. 中国卒中杂志. 2014;9(2):158-162.

55. 隋滨滨, 高培毅*, 林燕, 荆利娜, 薛静, 顾卫彬. 应用弓上CTA成像评估缺血患者颈动脉粥样硬化斑块的临床研究. 医学研究杂志. 2013;42(12):42-46.

56. Sui B, Gao P*, Lin Y,Jing L,Qin H, Wang T, An J. Association of plaque compositions and stenosispatterns incarotid bifurcation using MR imaging. Neurol Res. 2012May;34(4):366-72.

57. 隋滨滨, 高培毅*, 林燕, 薛静, 沈宓, 王辉, 王琼. 时间飞跃法磁共振血管成像原始图像评估脑微出血病灶的应用价值. 中国卒中杂志.2012;7(6): 466-471.

58. 隋滨滨, 马军*, 袁菁, 张巍, 汤劼.  医学英语教学中学生科研读写能力的培养. 西北医学教育. 2011;19(6):1268-70.

59. 隋滨滨, 高培毅*, 林燕, 等. 不同年龄组正常颈总动脉血流动力学参数的比较. 中国卒中杂志. 2009;4(9):726-729.

60. 隋滨滨, 高培毅*, 林燕. MR技术在体评估颈动脉血管壁切应力的方法学研究. 中华放射学杂志2008;42(8):854-857.

61. 隋滨滨, 高培毅*, 林燕, 等. 应用影像学技术计算颈动脉血管壁切应力的方法学研究. 影像诊断与介入治疗杂志.2007; 5(5) 60-63.

62. Sui B, Gao P*, Lin Y,Qin H, LiuL, Liu G. Noninvasive determination of spatial distribution andtemporalgradient of wall shear stress at common carotid artery. J Biomech.2008 Oct20;41(14):3024-30.

63. Sui B, Gao P*, Lin Y,Gao B, LiuL, An J. Blood flow pattern and wall shear stress in the internalcarotidarteries of healthy subjects. Acta Radiol. 2008 Sep;49(7):806-14. 

64. Sui B, Gao P*, Lin Y,Gao B, LiuL, An J. Assessment of wall shear stress in the common carotidartery of healthysubjects using 3.0-tesla magnetic resonance. Acta Radiol.2008May;49(4):442-9. 

 


学术获奖及人才项目

北京市科技新星,北京市优秀人才培养资助项目,北京市卫生系统第五批“215”高层次人才学术骨干

曾获北京市科技进步奖三等奖一项,中华医学科技奖三等奖一项,首都医科大学教育教学成果二等奖一项。


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