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Stroke-Analysis Program for Searching Infarct/Penumbra Area from CT-Scan Images via Digital Image Processing Technique

机译:通过数字图像处理技术从CT扫描图像搜索Infarct / Penumbra区域的行程分析程序

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The CT scan, produces x-rays images of brain, can often show size and locations of brain abnormalities. However, with this process, a number of needed CT-scan images prolong the stroke analysis. This report applied digitalimage processing technique to design stroke-analysis program for searching infarct penumbra area (mismatch area), tissue at risk. Cerebral blood flow (CBF), cerebral blood volume (CBV) and Mean Transit Time (MTT) from CT perfusion maps are used to identify mismatch area. In our experimental results, N-Match, D-Match and Mismatch mean normal tissue areas, dead tissue areas and blood cot tissue areas, respectively. The simulation results illustrate percentages of N-Match, D-Match and Mismatch depending on their threshold. For examples, percentage of NMatch will increase when threshold of CBV and CBF are lower and threshold of MTT is higher.
机译:CT扫描产生大脑的X射线图像,通常可以显示大小和脑异常的位置。 然而,通过该过程,许多需要的CT扫描图像延长行程分析。 该报告应用Dieftimage处理技术来设计用于搜索Infarct Penumbra地区(不匹配区域),危险组织的中风分析程序。 来自CT灌注图的脑血流(CBF),脑血容量(CBV)和平均转动时间(MTT)用于识别不匹配区域。 在我们的实验结果中,N匹配,D-匹配和失配分别是正常组织区域,死组织区域和血液婴儿床组织区域。 仿真结果示出了根据其阈值的N-Match,D-Match和Mismatch的百分比。 例如,当CBV和CBF的阈值较低并且MTT的阈值较高时,Nmatch的百分比将增加。

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