Sakarya University, Sakarya, Turkey.
J Med Syst. 2012 Jun;36(3):1317-26. doi: 10.1007/s10916-010-9592-y. Epub 2010 Sep 17.
Strokes are commonly diagnosed by utilizing images obtained from magnetic resonance imaging (MRI) technology. Nowadays, computer software can play a large role in analyzing these images and arriving at diagnoses quickly and accurately. Additionally, this software can reduce workload for medical personnel and lower misdiagnoses. In this paper a flexible permeability calculation tool called PCT based on the Patlak plot method is presented. Using the PCT we can calculate the permeability co-efficient of the Blood-Brain Barrier (BBB) function. The PCT tool offers both manual and automatic options for diagnosing the regions of the brain affected by stroke. Moreover, the PCT tool supports various extensions such as dicom, nifty and analyze.
中风通常通过利用磁共振成像（MRI）技术获得的图像进行诊断。如今，计算机软件在分析这些图像并快速准确地做出诊断方面可以发挥重要作用。此外，该软件还可以减轻医务人员的工作量，降低误诊率。本文提出了一种基于 Patlak 图法的灵活渗透性计算工具，称为 PCT。使用 PCT，我们可以计算血脑屏障（BBB）功能的渗透性系数。该 PCT 工具为诊断受中风影响的大脑区域提供了手动和自动两种选择。此外，该 PCT 工具支持各种扩展，如 dicom、nifty 和 analyze。
