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Using Diffusion-weighted Images to Identify Brain Tumors

机译:使用扩散加权图像识别脑肿瘤

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The paper presents an evaluation of the magnetic resonance images of a pathology in the human brain. The experiment involved patients with high-grade glioma tumors in the brain, and an MR tomograph operated by the University Hospital Brno-Bohunice was utilized in the related examinations. In our investigation, we measured images weighted by diffusion. A very interesting technique is diffusion-weighted imaging (DWI), where the measurement sequence comprises a table with 32 vectors of the b-factor orientation. The goal is to perform signal processing in the measured diffusion-weighted images. We proposed a special algorithm for the processing of the DWI image signal. The next step in the procedure was the statistical evaluation of DWI images of healthy and diseased human tissues. We also calculated the brain white matter images, such as those of the fraction anisotropy, RA (relative anisotropy), and VR (volume ratio).
机译:该论文提出了对人脑病理学磁共振图像的评估。该实验涉及脑部有高级别胶质瘤肿瘤的患者,并由布尔诺-布洪尼斯大学医院(University Hospital Brno-Bohunice)操作的MR断层扫描仪进行了相关检查。在我们的调查中,我们测量了通过扩散加权的图像。一种非常有趣的技术是扩散加权成像(DWI),其中测量序列包括一个表格,其中包含32个b因子方向的向量。目标是在测得的扩散加权图像中执行信号处理。我们提出了一种特殊的算法来处理DWI图像信号。该程序的下一步是对健康和患病人体组织的DWI图像进行统计评估。我们还计算了脑白质图像,例如分数各向异性,RA(相对各向异性)和VR(体积比)的图像。

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