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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 潘斯文 | zh_TW |
| dc.contributor.advisor | Stephen Payne | en |
| dc.contributor.author | 黃國翔 | zh_TW |
| dc.contributor.author | Guo-Xiang Huang | en |
| dc.date.accessioned | 2024-08-08T16:28:19Z | - |
| dc.date.available | 2024-08-09 | - |
| dc.date.copyright | 2024-08-08 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-08-05 | - |
| dc.identifier.citation | [1] PAYNE, Stephen J. Cerebral Autoregulation：Control of Blood Flow in the Brain. 2016.
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Regular aerobic exercise prevents and restores age-related declines in endothelium-dependent vasodilation in healthy men. Circulation, 2000, 12.102: 1351-7. [42] GUINEY, H, et al. Evidence cerebral blood-flow regulation mediates exercise-cognition links in healthy young adults. Neuropsychology, 2015, 1.29: 1-9. [43] COLCOMBE, SJ, et al. Aerobic exercise training increases brain volume in aging humans. J Gerontol A Biol Sci Med Sci, 2006, 11.61: 1166-70. [44] https://www.fda.gov/radiation-emitting-products/medical-x-ray-imaging/computed-tomography-ct [45] ANTONELLO, D, et al. Transcranial Doppler Ultrasound: Physical Principles and Principal Applications in Neurocritical Care Unit. J Cardiovasc Echogr, 2016, 2.26: 28-41. [46] HANZHANG, L, et al. Alterations in Cerebral Metabolic Rate and Blood Supply across the Adult Lifespan. Cerebral Cortex, 2011, 6.21: 1426-34. [47] IRGENS, F. Tensor Analysis. 2019. [48] QUERIDO, JS, et al. Regulation of Cerebral Blood Flow During Exercise. Sports Medicine, 2007, 9.37: 765-782. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/93835 | - |
| dc.description.abstract | 腦血流自動調節的干擾可能會嚴重影響大腦健康，並可能導致各種疾病，如老化和高血壓。因此，有了病人的血壓和血流量等臨床數據，我們可以利用數學模型來觀察自動調節曲線，並預測疾病的潛在發生。
然而，一氧化氮模型參數過多，使臨床分析和預測變得複雜。出於需要有效處理腦血流自動調節涉及的不同時間尺度的必要，提出了新的數學模型的需求。在擬合參數之後，建立了新的腦血流自動調節曲線，顯著減少了參數的數量。 此外，新的數學模型引入了進行性血管活性功能障礙公式，以觀察不同年齡組的腦血流自動調節。 我們的結果顯示，在新的數學模型中，我們調整了11個參數，顯著減少了總參數數量，同時滿足了自動調節曲線分佈的預期。 在穩態分析中，引入進行性血管活性功能障礙公式後，不同年齡組的自動調節曲線分佈符合預期，使得能夠對不同年齡組的高血壓患者進行可測試的預測。在動態狀態分析中，趨勢保持一致，顯示隨著年齡增長，血管半徑和血流量下降，表明新模型能有效預測老化和高血壓患者的病情。 | zh_TW |
| dc.description.abstract | Disruptions in cerebral blood flow autoregulation can significantly impact brain health, potentially leading to various diseases such as ageing and hypertension. Therefore, with clinical data on a patient's blood pressure and blood flow, we can use mathematical models to observe the autoregulation curve and predict the potential onset of diseases.
However, the nitro-oxide model had too many parameters, complicating clinical analysis and predictions. The need for a new mathematical model arises from the necessity to effectively address different time scales involved in cerebral blood flow autoregulation. After fitting the parameters, a new cerebral blood flow autoregulation curve is established, significantly reducing the number of parameters. In addition, the new mathematical model introduces a progressive vasoactive dysfunction formula to observe cerebral blood flow autoregulation across different age groups. Our results show that in the new mathematical model, we adjusted 11 parameters, reducing the total number significantly while meeting expectations for the autoregulation curve's distribution. In steady state analysis, after incorporating the progressive vasoactive dysfunction formula, the distribution of autoregulation curves across different age groups met expectations, allowing testable predictions for hypertensive patients across age groups. In dynamic state analysis, the trends remained consistent, showing a decline in blood vessel radius and blood flow with ageing, indicating the new model can effectively be used to predict conditions in ageing and hypertension patients. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-08-08T16:28:19Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-08-08T16:28:19Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 致謝 i
Acknowledgements ii 中文摘要 iv Abstract v Contents vii List of Figures xi List of Tables xiv Introduction 1 1.1 Cerebral Blood Flow 2 1.1.1 Basic Function of Blood Flow 3 1.1.2 Cerebral Autoregulation 5 1.2 Diseases Related to CBF 6 1.2.1 Ageing 7 1.2.2 Hypertension 10 1.3 Clinical Measurements 12 1.3.1 Computed Tomography (CT) 12 1.3.2 Positron Emission Tomography (PET) 13 1.3.3 Magnetic Resonance Imaging (MRI) 14 1.3.4 4D flow MRI 16 1.3.5 Transcranial Doppler (TCD) 17 1.4 Conclusions 19 Models and Methods 20 2.1 Multiscale Model of Cerebral Autoregulation 20 2.1.1 Nitric Oxide Model 21 2.1.2 Simplified Myogenic Response Model 23 2.1.3 4-State Kinetic Model 25 2.1.4 Mechanical Model 26 2.2 Cauchy Stress Tensor 28 2.2.1 Introduction 29 2.2.2 Assumptions and Simplifications 30 2.2.3 Parameters Adjustment 34 2.2.4 Progressive Vasoactive Dysfunction 35 2.3 Haemodynamic Model 36 2.3.1 Steady State 37 2.3.2 Dynamic State 38 2.4 Numerical Methods 40 2.5 Conclusions 41 Results and Discussions 42 3.1 Results of Original Model in Steady State 42 3.1.1 Steady State Blood Vessel Radius 43 3.1.2 Steady State CBF Autoregulation 44 3.2 Results of New Mathematical Model in Steady State 46 3.2.1 Optimization 46 3.2.2 Progressive Vasoactive Dysfunction 48 3.3 Results of Dynamic State 50 3.3.1 The Results of Dynamic State 50 3.3.2 Progressive Vasoactive Dysfunction 55 3.4 Conclusions 59 Conclusions and Future Work 60 4.1 Summary of Findings 60 4.2 Limitations 62 4.3 Future Work 64 References 67 | - |
| dc.language.iso | en | - |
| dc.subject | 腦血流 | zh_TW |
| dc.subject | 腦血流自動調節 | zh_TW |
| dc.subject | 柯西應力張量 | zh_TW |
| dc.subject | 老化 | zh_TW |
| dc.subject | 高血壓 | zh_TW |
| dc.subject | 進行性血管活性功能障礙 | zh_TW |
| dc.subject | Cauchy stress tensor | en |
| dc.subject | Cerebral blood flow | en |
| dc.subject | Progressive vasoactive dysfunction | en |
| dc.subject | Hypertension | en |
| dc.subject | Ageing | en |
| dc.subject | Cerebral blood flow autoregulation | en |
| dc.title | 利用新的數學模型分析老化與高血壓對腦血流自動調節的影響 | zh_TW |
| dc.title | Analysing the effects of ageing and hypertension on dynamic cerebral autoregulation using a new mathematical model | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 梅文逢;湯瑪士尤薩 | zh_TW |
| dc.contributor.oralexamcommittee | Van-Phung Mai;Tamàs Jòzsa | en |
| dc.subject.keyword | 腦血流,腦血流自動調節,柯西應力張量,老化,高血壓,進行性血管活性功能障礙, | zh_TW |
| dc.subject.keyword | Cerebral blood flow,Cerebral blood flow autoregulation,Cauchy stress tensor,Ageing,Hypertension,Progressive vasoactive dysfunction, | en |
| dc.relation.page | 72 | - |
| dc.identifier.doi | 10.6342/NTU202403077 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2024-08-08 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 應用力學研究所 | - |
| 顯示於系所單位： | 應用力學研究所 | |
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