灌注
灌注扫描
血流
脑血流
脑灌注压
生物医学工程
信号(编程语言)
静脉血
神经科学
医学
核磁共振
计算机科学
放射科
生物
内科学
物理
程序设计语言
作者
Ekin Karasan,Jingjia Chen,Julian Maravilla,Zhiyong Zhang,Chunlei Liu,Michael Lustig
标识
DOI:10.1038/s41467-025-59108-3
摘要
Abstract The cerebral venous system plays a crucial role in neurological and vascular conditions, yet its hemodynamics remain underexplored due to its complexity and variability across individuals. To address this, we develop a venous perfusion source mapping method using Displacement Spectrum MRI, a non-contrast technique that leverages blood water as an endogenous tracer. Our technique encodes spatial information into the magnetization of blood water spins during tagging and detects it once the tagged blood reaches the brain’s surface, where the signal-to-noise ratio is 3–4 times higher. We resolve the sources of blood entering the imaging slice across short (10 ms) to long (3 s) evolution times, effectively capturing perfusion sources in reverse. This approach enables the measurement of slow venous blood flow, including potential contributions from capillary beds and surrounding tissue. We demonstrate perfusion source mapping in the superior cerebral veins, verify its sensitivity to global perfusion modulation induced by caffeine, and establish its specificity by showing repeatable local perfusion modulation during neural activation. From all blood within the imaging slice, our method localizes the portion originating from an activated region upstream.
科研通智能强力驱动
Strongly Powered by AbleSci AI