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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/26764完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 鍾孝文(Hsiao-Wen Chung) | |
| dc.contributor.author | Hua-Shan Liu | en |
| dc.contributor.author | 劉華姍 | zh_TW |
| dc.date.accessioned | 2021-06-08T07:24:31Z | - |
| dc.date.copyright | 2008-07-24 | |
| dc.date.issued | 2008 | |
| dc.date.submitted | 2008-07-17 | |
| dc.identifier.citation | Chap1
References 1. Henry RG VD, Fischbein NJ, Grant PE, Day MR, Noworolski SM, Star-Lack JM, Wald LL, Dillon WP, Chang SM, Nelson SJ. Comparison of relative cerebral blood volume and proton spectroscopy in patients with treated gliomas. AJNR Am J Neuroradiol 2000;21:357-366 2. Yang S LM, Zagzag D, Wu HH, Cha S, Golfinos JG, Knopp EA, Johnson G. Dynamic contrast-enhanced perfusion MR imaging measurements of endothelial permeability: differentiation between atypical and typical meningiomas. AJNR Am J Neuroradiol 2003;24:1554-1559 3. Law M YS, Babb JS, Knopp EA, Golfinos JG, Zagzag D, Johnson G. Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. AJNR Am J Neuroradiol 2004;25:746-755 4. Lupo JM CS, Chang SM, Nelson SJ. Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity. AJNR Am J Neuroradiol 2005;26:1446-1454 5. Cao Y SZ, Chenevert TL, Ewing JR. Estimate of vascular permeability and cerebral blood volume using Gd-DTPA contrast enhancement and dynamic T2*-weighted MRI. J Magn Reson Imaging 2006;24:288-296 6. Zhu XP LK, Kamaly-Asl ID, Checkley DR, Tessier JJ, Waterton JC, Jackson A. Quantification of endothelial permeability, leakage space, and blood volume in brain tumors using combined T1 and T2* contrast-enhanced dynamic MR imaging. J Magn Reson Imaging 2000;11:575-585 7. Patankar TF HH, Mills SJ, Balériaux D, Buckley DL, Parker GJ, Jackson A. Is volume transfer coefficient (K(trans)) related to histologic grade in human gliomas. AJNR Am J Neuroradiol 2005;26:2455-2465 8. Bell BA SL, Branston NM. CBF and time thresholds for the formation of ischemic cerebral edema, and effect of reperfusion in baboons. J Neurosurg 1985;62:31-41 9. Gotoh O AT, Koide T, Takakura K. Ischemic brain edema following occlusion of the middle cerebral artery in the rat. I: The time courses of the brain water, sodium and potassium contents and blood-brain barrier permeability to 125I-albumin. Stroke 1985;16:101-109 10. Bogousslavsky J RF. Unilateral watershed cerebral infarcts. Neurology 1986;36:373-377 11. Belayev L BR, Zhao W, Ginsberg MD. Quantitative evaluation of blood-brain barrier permeability following middle cerebral artery occlusion in rats. Brain Res 1996;739:88-96 12. Essig M vKR, Egelhof T, Winter R, Sartor K. Vascular MR contrast enhancement in cerebrovascular disease. AJNR Am J Neuroradiol 1996;17:887-894 13. Jiang Q EJ, Ding GL, Zhang L, Zhang ZG, Li L, Whitton P, Lu M, Hu J, Li QJ, Knight RA, Chopp M. Quantitative evaluation of BBB permeability after embolic stroke in rat using MRI. J Cereb Blood Flow Metab 2005;25:583-592 14. Haroon HA BD, Patankar TA, Dow GR, Rutherford SA, Balériaux D, Jackson A. A comparison of Ktrans measurements obtained with conventional and first pass pharmacokinetic models in human gliomas. J Magn Reson Imaging 2004;19:527-536 15. Rydland J BA, Haugen O, Torheim G, Torres C, Kvistad KA, Haraldseth O. New intravascular contrast agent applied to dynamic contrast enhanced MR imaging of human breast cancer. Acta Radiol 2003;44:275-283 16. Marti HJ BM, Bellail A, Schoch H, Euler M, Petit E, Risau W. Hypoxia-induced vascular endothelial growth factor expression precedes neovascularization after cerebral ischemia. Am J Pathol 2000;156:965-976 17. Zhang ZG ZL, Jiang Q, Zhang R, Davies K, Powers C, Bruggen N, Chopp M. VEGF enhances angiogenesis and promotes blood-brain barrier leakage in the ischemic brain. J Clin Invest 2000;106:829-838 18. Schoch HJ FS, Marti HH. Hypoxia-induced vascular endothelial growth factor expression causes vascular leakage in the brain. Brain 2002;123:2549-2557 Chap2 References 1. Daldrup HE SD, Husseini W, Wendland MF, Okuhata Y, Brasch RC. Quantification of the extraction fraction for gadopentetate across breast cancer capillaries. Magn Reson Med 1998;40:537-543 2. Tofts PS KA. Measurement of the blood-brain barrier permeability and leakage space using dynamic MR imaging. 1. Fundamental concepts. Magn Reson Med 1991;17:357-367. 3. Tofts PS BB, Schnall MD. Quantitative analysis of dynamic Gd-DTPA enhancement in breast tumors using a permeability model. Magn Reson Med 1995;33:564-568 4. Tofts PS BG, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, Larsson HB, Lee TY, Mayr NA, Parker GJ, Port RE, Taylor J, Weisskoff RM. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 1999;10:223-232 5. Padhani AR HC, Landau S, Leach MO. Reproducibility of quantitative dynamic MRI of normal human tissues. NMR Biomed 2002;15:143-153 6. Larsson HB SM, Søndergaard L, Henriksen O. In vivo quantification of the unidirectional influx constant for Gd-DTPA diffusion across the myocardial capillaries with MR imaging. J Magn Reson Imaging 1994;4:433-440 7. Brix G SW, Port R, Schad LR, Layer G, Lorenz WJ. Pharmacokinetic parameters in CNS Gd-DTPA enhanced MR imaging. J Comput Assist Tomogr 1991;15:621-628 8. JL E. Key factors in the acquisition of contrast kinetic data for oncology. J Magn Reson Imaging 1999 10:254-259 9. Padhani AR HJ. Dynamic contrast-enhanced MRI studies in oncology with an emphasis on quantification, validation and human studies. Clin Radiol 2001;56:607-620 10. Hoffmann U BG, Knopp MV, Hess T, Lorenz WJ. Pharmacokinetic mapping of the breast: a new method for dynamic MR mammography. Magn Reson Med 1995;33:506-514 11. PS. T. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J Magn Reson Imaging 1997;7:91-101 12. Hawighorst H ER, Knopp MV, Brix G, Grandy M, Essig M, Miltner P, Zuna I, Fuss M, van Kaick G. Intracranial meningeomas: time- and dose-dependent effects of irradiation on tumor microcirculation monitored by dynamic MR imaging.Magn Reson Imaging. Magn Reson Imaging 1997;15:423 13. Law M YS, Babb JS, Knopp EA, Golfinos JG, Zagzag D, Johnson G. Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. AJNR Am J Neuroradiol 2004;25:746-755 14. Johnson G WS, Cha S, Babb J, Tofts PS. Measuring blood volume and vascular transfer constant from dynamic, T(2)*-weighted contrast-enhanced MRI. MRM 2004;51:961-968 15. L A. Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis. Radiology 1980;137:679-686 Chapter 3 References 1. Nie NH, H.C., SPSS update 7-9. 1981, NY: McGraw-Hill Book Company. 234. 2. Sato A, T.S., Soma Y, Ishii K, Kikuchi Y, Watanabe T, Sakamoto K, Cerebral infarction: early detection by means of contrast-enhanced cerebral arteries at MR imaging. Radiology, 1991. 178(2): p. 433-439. 3. Müller TB, H.O., Jones RA, Sebastiani G, Godtliebsen F, Lindboe CF, Unsgård G, Combined perfusion and diffusion-weighted magnetic resonance imaging in a rat model of reversible middle cerebral artery occlusion. Stroke, 1995. 26(3): p. 451-457. 4. Sorensen AG, W.S., Weisskoff RM, Boxerman JL, Davis TL, Caramia F, Kwong KK, Stern CE, Baker JR, Breiter H, Functional MR of brain activity and perfusion in patients with chronic cortical stroke. AJNR Am J Neuroradiol, 1995. 16(9): p. 1753-1762. 5. Essig M, v.K.R., Egelhof T, Winter R, Sartor K, Vascular MR contrast enhancement in cerebrovascular disease. AJNR Am J Neuroradiol, 1996. 17(5): p. 887-894. 6. Hawighorst H, E.R., Knopp MV, Brix G, Grandy M, Essig M, Miltner P, Zuna I, Fuss M, van Kaick G, Intracranial meningeomas: time- and dose-dependent effects of irradiation on tumor microcirculation monitored by dynamic MR imaging.Magn Reson Imaging. Magn Reson Imaging, 1997. 15(4): p. 423. 7. Reith W, H.S., Erb G, Benner T, Forsting M, Sartor K., Dynamic contrast-enhanced T2*-weighted MRI in patients with cerebrovascular disease. Neuroradiology, 1997. 39(4): p. 250-257. 8. Henry RG, V.D., Fischbein NJ, Grant PE, Day MR, Noworolski SM, Star-Lack JM, Wald LL, Dillon WP, Chang SM, Nelson SJ, Comparison of relative cerebral blood volume and proton spectroscopy in patients with treated gliomas. AJNR Am J Neuroradiol, 2000. 21(2): p. 357-366. 9. Johnson G, W.S., Cha S, Babb J, Tofts PS, Measuring blood volume and vascular transfer constant from dynamic, T(2)*-weighted contrast-enhanced MRI. MRM, 2004. 51(5): p. 961-968. 10. Harrer JU, P.G., Haroon HA, Buckley DL, Embelton K, Roberts C, Balériaux D, Jackson A, Comparative study of methods for determining vascular permeability and blood volume in human gliomas. J Magn Reson Imaging, 2004. 20(5): p. 748-757. Chapter 4 References 1. Zhu XP LK, Kamaly-Asl ID, Checkley DR, Tessier JJ, Waterton JC, Jackson A. Quantification of endothelial permeability, leakage space, and blood volume in brain tumors using combined T1 and T2* contrast-enhanced dynamic MR imaging. J Magn Reson Imaging 2000;11:575-585 2. Machein MR PK. Role of VEGF in developmental angiogenesis and in tumor angiogenesis in the brain. Cancer Treat Res 2004;117:191-218 3. Manley PW BG, Brüggen J, Fendrich G, Furet P, Mestan J, Schnell C, Stolz B, Meyer T, Meyhack B, Stark W, Strauss A, Wood J. Advances in the structural biology, design and clinical development of VEGF-R kinase inhibitors for the treatment of angiogenesis. Biochim Biophys Acta 2004;1697:17-27 4. Harry LE PE. From the cradle to the clinic: VEGF in developmental, physiological, and pathological angiogenesis. Birth Defects Res C Embryo Today 2003 69:363-374. 5. M S. VEGF-receptor inhibitors for anti-angiogenesis. Nippon Yakurigaku Zasshi 2003; 122:498-503 6. Schoch HJ FS, Marti HH. Hypoxia-induced vascular endothelial growth factor expression causes vascular leakage in the brain. Brain 2002;123:2549-2557 7. Zhang ZG ZL, Jiang Q, Zhang R, Davies K, Powers C, Bruggen N, Chopp M. VEGF enhances angiogenesis and promotes blood-brain barrier leakage in the ischemic brain. J Clin Invest 2000;106:829-838 8. Cha S LS, Johnson G, Knopp EA. Dynamic susceptibility contrast MR imaging: correlation of signal intensity changes with cerebral blood volume measurements. J Magn Reson Imaging 2000;11:114-119 9. Patankar TF HH, Mills SJ, Balériaux D, Buckley DL, Parker GJ, Jackson A. Is volume transfer coefficient (K(trans)) related to histologic grade in human gliomas. AJNR Am J Neuroradiol 2005;26:2455-2465 10. Law M YS, Babb JS, Knopp EA, Golfinos JG, Zagzag D, Johnson G. Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. AJNR Am J Neuroradiol 2004;25:746-755 11. Yang S LM, Zagzag D, Wu HH, Cha S, Golfinos JG, Knopp EA, Johnson G. Dynamic contrast-enhanced perfusion MR imaging measurements of endothelial permeability: differentiation between atypical and typical meningiomas. AJNR Am J Neuroradiol 2003;24:1554-1559 12. Law M YS, Wang H, Babb JS, Johnson G, Cha S, Knopp EA, Zagzag D. Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging. AJNR Am J Neuroradiol 2003;24:1989-1998 13. Johnson G WS, Cha S, Babb J, Tofts PS. Measuring blood volume and vascular transfer constant from dynamic, T(2)*-weighted contrast-enhanced MRI. MRM 2004;51:961-968 14. Bulakbasi N KM, Farzaliyev A, Tayfun C, Ucoz T, Somuncu I. Assessment of diagnostic accuracy of perfusion MR imaging in primary and metastatic solitary malignant brain tumors. AJNR Am J Neuroradiol 2005;26:2187-2199 15. Tofts PS BG, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, Larsson HB, Lee TY, Mayr NA, Parker GJ, Port RE, Taylor J, Weisskoff RM. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 1999;10:223-232 16. Haroon HA BD, Patankar TA, Dow GR, Rutherford SA, Balériaux D, Jackson A. A comparison of Ktrans measurements obtained with conventional and first pass pharmacokinetic models in human gliomas. J Magn Reson Imaging 2004;19:527-536 17. Belayev L BR, Zhao W, Ginsberg MD. Quantitative evaluation of blood-brain barrier permeability following middle cerebral artery occlusion in rats. Brain Res 1996;739:88-96 18. Gotoh O AT, Koide T, Takakura K. Ischemic brain edema following occlusion of the middle cerebral artery in the rat. I: The time courses of the brain water, sodium and potassium contents and blood-brain barrier permeability to 125I-albumin. Stroke 1985;16:101-109 19. Jiang Q EJ, Ding GL, Zhang L, Zhang ZG, Li L, Whitton P, Lu M, Hu J, Li QJ, Knight RA, Chopp M. Quantitative evaluation of BBB permeability after embolic stroke in rat using MRI. J Cereb Blood Flow Metab 2005;25:583-592 20. Lorberboym M LY, Sadeh M. Correlation of 99mTc-DTPA SPECT of the blood-brain barrier with neurologic outcome after acute stroke. J Nucl Med 2003;44:1898-1904 21. Marti HJ BM, Bellail A, Schoch H, Euler M, Petit E, Risau W. Hypoxia-induced vascular endothelial growth factor expression precedes neovascularization after cerebral ischemia. Am J Pathol 2000;156:965-976 22. Bogousslavsky J RF. Unilateral watershed cerebral infarcts. Neurology 1986;36:373-377 23. H D. A computed tomographic guide to the identification of cerebral vascular territories. Arch Neurol 1983;40:138-142 24. Essig M vKR, Egelhof T, Winter R, Sartor K. Vascular MR contrast enhancement in cerebrovascular disease. AJNR Am J Neuroradiol 1996;17:887-894 25. Karonen JO PP, Vanninen RL, Vainio PA, Aronen HJ. Evolution of MR contrast enhancement patterns during the first week after acute ischemic stroke. AJNR Am J Neuroradiol 2001;22:103-111 26. Sato A TS, Soma Y, Ishii K, Kikuchi Y, Watanabe T, Sakamoto K. Cerebral infarction: early detection by means of contrast-enhanced cerebral arteries at MR imaging. Radiology 1991;178:433-439 27. Mueller DP YW, Fisher DJ, Chandran KB, Crain MR, Kim YH. Arterial enhancement in acute cerebral ischemia: clinical and angiographic correlation. AJNR Am J Neuroradiol 1993;14:661-668 28. Kilgore DP BR, Daniels DL, Pojunas KW, Williams AL, Haughton VM. Cranial tissues: normal MR appearance after intravenous injection of Gd-DTPA. Radiology 1986;160:757-761 29. R. Bakshi WRK, V. E. Bates, L. L. Mechtler, P. R. Kinkel. The cerebral intravascular enhancement sign is not specific: a contrast-enhanced MRI study. Neurology 1999;41:80-85 30. Lupo JM CS, Chang SM, Nelson SJ. Dynamic susceptibility-weighted perfusion imaging of high-grade gliomas: characterization of spatial heterogeneity. AJNR Am J Neuroradiol 2005;26:1446-1454 31. Chang L MD, Miller BL, Cornford M, Booth RA, Buchthal SD, Ernst TM, Jenden D. Localized in vivo 1H magnetic resonance spectroscopy and in vitro analyses of heterogeneous brain tumors. J Neuroimaging 1995;5:157-163 32. Henry RG VD, Fischbein NJ, Grant PE, Day MR, Noworolski SM, Star-Lack JM, Wald LL, Dillon WP, Chang SM, Nelson SJ. Comparison of relative cerebral blood volume and proton spectroscopy in patients with treated gliomas. AJNR Am J Neuroradiol 2000;21:357-366 33. Merten CL KH, Assheuer J, Bergmann-Kurz B, Hedde JP, Bewermeyer H. MRI of acute cerebral infarcts, increased contrast enhancement with continuous infusion of gadolinium. Neuroradiology 1999;41:242-248 34. Schuier FJ HK. Experimental brain infarcts in cats. II. Ischemic brain edema. Stroke 1980;11:593-601 35. Bell BA SL, Branston NM. CBF and time thresholds for the formation of ischemic cerebral edema, and effect of reperfusion in baboons. J Neurosurg 1985;62:31-41 Chap5 References 1. L A. Cerebral blood flow determination by rapid-sequence computed tomography: theoretical analysis. Radiology 1980;137:679-686 2. H D. A computed tomographic guide to the identification of cerebral vascular territories. Arch Neurol 1983;40:138-142 3. Gotoh O AT, Koide T, Takakura K. Ischemic brain edema following occlusion of the middle cerebral artery in the rat. I: The time courses of the brain water, sodium and potassium contents and blood-brain barrier permeability to 125I-albumin. Stroke 1985;16:101-109 4. Belayev L BR, Zhao W, Ginsberg MD. Quantitative evaluation of blood-brain barrier permeability following middle cerebral artery occlusion in rats. Brain Res 1996;739:88-96 5. Daldrup HE SD, Husseini W, Wendland MF, Okuhata Y, Brasch RC. Quantification of the extraction fraction for gadopentetate across breast cancer capillaries. Magn Reson Med 1998;40:537-543 6. Jain R ES, Scarpace L, Schultz LR, Rock JP, Gutierrez J, Patel SC, Ewing J, Mikkelsen T. Quantitative estimation of permeability surface-area product in astroglial brain tumors using perfusion CT and correlation with histopathologic grade. AJNR Am J Neuroradiol 2008 29:694-700 7. PS. T. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging. J Magn Reson Imaging 1997;7:91-101 8. Tofts PS BG, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, Larsson HB, Lee TY, Mayr NA, Parker GJ, Port RE, Taylor J, Weisskoff RM. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 1999;10:223-232 9. Larsson HB SM, Søndergaard L, Henriksen O. In vivo quantification of the unidirectional influx constant for Gd-DTPA diffusion across the myocardial capillaries with MR imaging. J Magn Reson Imaging 1994;4:433-440 10. JL E. Key factors in the acquisition of contrast kinetic data for oncology. J Magn Reson Imaging 1999 10:254-259 11. Law M YS, Babb JS, Knopp EA, Golfinos JG, Zagzag D, Johnson G. Comparison of cerebral blood volume and vascular permeability from dynamic susceptibility contrast-enhanced perfusion MR imaging with glioma grade. AJNR Am J Neuroradiol 2004;25:746-755 12. Yang S LM, Zagzag D, Wu HH, Cha S, Golfinos JG, Knopp EA, Johnson G. Dynamic contrast-enhanced perfusion MR imaging measurements of endothelial permeability: differentiation between atypical and typical meningiomas. AJNR Am J Neuroradiol 2003;24:1554-1559 13. Law M KK, Wetzel S, Wang E, Iacob C, Zagzag D, Golfinos JG, Johnson G. Dynamic susceptibility contrast-enhanced perfusion and conventional MR imaging findings for adult patients with cerebral primitive neuroectodermal tumors. AJNR Am J Neuroradiol 2004;25:997-1005 14. Johnson G WS, Cha S, Babb J, Tofts PS. Measuring blood volume and vascular transfer constant from dynamic, T(2)*-weighted contrast-enhanced MRI. MRM 2004;51:961-968 15. Cao Y SZ, Chenevert TL, Ewing JR. Estimate of vascular permeability and cerebral blood volume using Gd-DTPA contrast enhancement and dynamic T2*-weighted MRI. J Magn Reson Imaging 2006;24:288-296 16. Li KL ZX, Waterton J, Jackson A. Improved 3D quantitative mapping of blood volume and endothelial permeability in brain tumors. J Magn Reson Imaging 2000;12:347-357 17. Zhu XP LK, Kamaly-Asl ID, Checkley DR, Tessier JJ, Waterton JC, Jackson A. Quantification of endothelial permeability, leakage space, and blood volume in brain tumors using combined T1 and T2* contrast-enhanced dynamic MR imaging. J Magn Reson Imaging 2000;11:575-585 18. Patankar TF HH, Mills SJ, Balériaux D, Buckley DL, Parker GJ, Jackson A. Is volume transfer coefficient (K(trans)) related to histologic grade in human gliomas. AJNR Am J Neuroradiol 2005;26:2455-2465 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/26764 | - |
| dc.description.abstract | 在這篇論文裡面，我們將臨床拿到的血流灌注影像訊號與第一時間的血液動力學模型互相結合，並且嘗試將之應用在腦腫瘤和缺血性中風的病人身上，來研究該模型在臨床診斷上的可行性。我們先用蒙地卡羅的方式評估這個模型的準確性和重複價值，確定它的某個重要參數Ktrans受制於影像品質的好壞。儘管如此，我們發現，若是血流灌注影像的品質在可接受範圍內，可以精準算出腫瘤與中風區域的生理參數，尤其是後者，我們發現這個技術應用在急性中風的病人身上，有多數例子都可以在T1對比剤影像顯影之前而能更早預測最後中風的區域以及血腦屏障遭受破壞的範圍大小，這是前人所沒有做過的。 | zh_TW |
| dc.description.abstract | We employed the tracer kinetic model based on the T2* perfusion in the study to improve MR imaging analysis by adding noteworthy information of BBB permeability in brain tumors and ischemic strokes. We examined the accuracy and precision of estimated pharmacokinetic parameters, using the values of Monte Carlo simulations to better understand the origin of error distribution in fitting process. The FPPM model offers a potentially advantageous approach for simultaneous generation of the estimates of permeability and cerebral blood volume from dynamic T2*-weighted echo-planar images. This model accurately reflected the underlying cerebral pathophysiology in patient with brain tumors and ischemic stroke from observations with calculated maps of clinical practice in this study. We have applied the patients’ data in our institute to confirm that the FPPM model could be an effective means of detecting brain damage in patients with ischemic stroke at the onset of first few days in this study. These data suggest that only at the chronic phase can a leakage of contrast medium lead to a parenchymal enhancement such that brain blood barrier (BBB) disruption is severe enough to be monitored in contrast-enhanced T1-weighted images, while the abnormal permeability performance can already be clearly found with a higher sensitivity to the hemodynamic changes of lesion areas at the acute stage for these patients. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T07:24:31Z (GMT). No. of bitstreams: 1 ntu-97-D93921029-1.pdf: 920952 bytes, checksum: 22305c35b1b6ccc31204dfccdf20bc4a (MD5) Previous issue date: 2008 | en |
| dc.description.tableofcontents | Table of Contents
口試委員審定書……………………………………………. i 誌謝………………………………………………………… ii 中文摘要…………………………………………………… iii 英文摘要…………………………………………………… iv Chapter 1 Introduction……………………………………. 1-1 References…………………………………………………………… 1-8 Chapter 2 Perfusion-based Pharmacokinetic Model……. 2-1 2.1 Background………………………………………………….. 2-2 2.2 Dynamic Susceptibility Contrast-enhanced Perfusion…… 2-4 2.3 Mathematical Descriptions of Pharmacokinetic Models…. 2-6 2.3.1 First-Pass Pharmacokinetic Model…………………………………. 2-9 References………………………………………………………...… 2-15 Chapter 3 Assessment of Accuracy and Precision in FPPM Model……………………………………………………….. 3-1 3.1 Simulation for Error Analysis……………………………... 3-2 3.2 Reproducibility……………………………………….…..…. 3-4 3.3 Results……………………………………………………….. 3-5 3.3.1 Consideration of Second-pass Effect and More Accurate Measurements on Cerebral Blood Volume………………………………………………… . 3-5 3.3.2 Simulation analysis…………………………………………………. 3-6 3.3.3 Reproducibility……………………………………………………… 3-7 3.4 Discussion and Conclusions……………………................... 3-15 References………………………………………………………… 3-16 Chapter 4 Clinical Applications………………………….. 4-1 4.1 Brain tumors………………………………………………… 4-2 4.1.1 Introduction…………………………………………………………… 4-2 4.1.2 Patients………………………………………………………………… 4-7 4.1.3 DSC MR Imaging and Data Analysis…………………………………4-8 4.1.4 Results…………………………………………………………………. 4-9 4.1.5 Discussion and Conclusions………………………………………….. 4-18 4.2 Longitudinal Study of Ischemic Stoke………………………4-22 4.2.1 Background…………………………………………………………… 4-22 4.2.2 Subjects………………………………………………………………... 4-24 4.2.3 ROI Analysis……………………………………………………………. 4-25 4.2.4 Statistical Analysis………………………………………………………4-26 4.2.5 Results…………………………………………………………………... 4-26 4.2.6 Discussion and Conclusions……………………………………………. 4-29 References………………………………………………………… 4-43 Chapter 5 Discussion and Conclusions………………….. 5-1 References………………………………………………………… 5-13 List of Figures Fig. 2-1 The distribution of contrast media within a voxel…………. 2-8 Fig. 3-1 Vascular volume maps from a patient with meningioma…... 3-8 Fig. 3-2 FPPM method shows an excellent curve fitting with consideration of recirculation effect……………………………….... 3-9 Fig. 3-3 Plot of estimation errors at different SNR levels for vp and Ktrans from three patients………………………………………………….. 3-10 Fig. 3-4 A patient with grade II pilocytic astrocytoma………………3-11 Fig. 3-5 Plot of density distribution of patient one with two different examinations…………………………………………………………3-12 Fig. 3-6 A patient with benign neoplasm with two different examinations at a interval of two months…………………………………………..3-13 Fig. 3-7 Plot of density distribution of patient two with two different examinations………………………………………………………….3-14 Fig. 4-1 Representative case of meningioma……………………..…..4-13 Fig. 4-2 Representative case of gliosarcoma…………………………4-14 Fig. 4-3 Representative case of metastatic brain tumor………………4-15 Fig. 4-4 Representative case of a grade I astrocytoma………………..4-16 Fig. 4-5 Plot of mean and standard deviation of vp and Ktrans...………4-17 Fig. 4-6 Representative case of GBM with mismatched areas between vp and Ktrans………………………………………………………………4-21 Fig. 4-7. A simulation plot derived from a stroke patient for accuracy and precision of fitted Vp, Ktrans………………...…………………………4-37 Fig. 4-8. MR images in 61-year-old male with TI at 8 hours………...4-38 Fig. 4-9. MR images in 69-year-old female with WI at 3 days………4-39 Fig. 4-10. Time-course profiles of Ktrans and Vp for the ischemic regions of interests……………………………………………………………4-40 Fig. 5-10. CT perfusion weighted imaging of a patient with metastasis ………………………………………………………………………..5-12 List of Tables Table 4-1……………………………………………………………..4-11 Table 4-2……………………………………………………………..4-12 Table 4-3……………………………………………………………..4-41 Table 4-4……………………………………………………………..4-42 | |
| dc.language.iso | en | |
| dc.subject | 腦腫瘤 | zh_TW |
| dc.subject | 血液動力學模型 | zh_TW |
| dc.subject | 缺血性中風 | zh_TW |
| dc.subject | 血腦屏障 | zh_TW |
| dc.subject | 磁振造影 | zh_TW |
| dc.subject | brain tumors | en |
| dc.subject | Magnetic resonance imaging | en |
| dc.subject | brain-blood-barrier | en |
| dc.subject | ischemic strokes | en |
| dc.subject | first-pass pharmacokinetic model | en |
| dc.title | 腦血流灌注影像在腦功能疾病的模型定量及研究 | zh_TW |
| dc.title | Analysis of Model-Based MR Perfusion Imaging in Human Brain Diseases | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 96-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 陳震宇(Cheng-Yu Chen),阮春榮(Chun-Jung Juan),劉鶴齡(Ho-Ling Liu),王福年(Fu-Nien Wang),吳文超(Wen-Chau Wu),許元昱(Yuan-Yu Hsu) | |
| dc.subject.keyword | 血液動力學模型,腦腫瘤,缺血性中風,血腦屏障,磁振造影, | zh_TW |
| dc.subject.keyword | first-pass pharmacokinetic model,brain tumors,ischemic strokes,brain-blood-barrier,Magnetic resonance imaging, | en |
| dc.relation.page | 111 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2008-07-17 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位： | 電機工程學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-97-1.pdf 未授權公開取用 | 899.37 kB | Adobe PDF |
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