التفاصيل البيبلوغرافية
| العنوان: |
Vascular territorial segmentation and volumetric blood flow measurement using dynamic contrast enhanced magnetic resonance angiography of the brain |
| المؤلفون: |
Geri, Oren, Shiran, Shelly I, Roth, Jonathan, Artzi, Moran, Ben-Sira, Liat, Ben Bashat, Dafna |
| المصدر: |
Journal of Cerebral Blood Flow & Metabolism ; volume 37, issue 10, page 3446-3456 ; ISSN 0271-678X 1559-7016 |
| بيانات النشر: |
SAGE Publications |
| سنة النشر: |
2017 |
| الوصف: |
This study proposes a method for territorial segmentation and volumetric flow rate (VFR) distribution measurement of cerebral territories based on time-resolved contrast enhanced magnetic-resonance-angiography (MRA). The method uses an iterative region-growing algorithm based on bolus-arrival-time with increased temporal resolution. Eight territories were segmented: (1) right and (2) left internal carotid arteries, including the middle cerebral artery (ICA+MCA), excluding the anterior cerebral arteries (ACA); (3) right and left ACA (R+L-ACA); (4) right and (5) left external carotid arteries (ECA); (6) right and (7) left posterior cerebral arteries (PCA); and (8) vertebrobasilar territory. VFR percentage, relative to the entire brain (rVFR), was measured based on territorial volume as a function of time. Mean rVFR values of fifteen healthy subjects were: ICA+MCA = 23 ± 2%, R + L-ACA = 17 ± 3%, ECA = 4 ± 2%, PCA = 12 ± 2%, and vertebrobasilar territory = 31 ± 4%. Excluding the ECA-rVFR, which is underestimated, these values are comparable to previously reported values. Six subjects were scanned twice, demonstrating comparable and even higher reproducibility than previously reported using phase-contrast, yet with faster scan time (∼1 min). This method was implemented in one patient with MCA occlusion and one with Moyamoya syndrome scanned before and after bypass surgery, demonstrating its clinical potential for quantitative assessment of the degree of occlusion and the effect of surgery. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1177/0271678x17702394 |
| DOI: |
10.1177/0271678X17702394 |
| الإتاحة: |
https://doi.org/10.1177/0271678x17702394Test |
| حقوق: |
http://journals.sagepub.com/page/policies/text-and-data-mining-licenseTest |
| رقم الانضمام: |
edsbas.63E1424 |
| قاعدة البيانات: |
BASE |
