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Lesion detection using T1-weighted MRI: A new approach based on functional cortical ROIs

机译:使用T1加权MRI的病变检测:一种基于功能皮层乐的新方法

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Accurate and precise detection of brain lesions on MR images is important for relating lesion locations to impaired behaviors. In this paper, we propose a method to detect lesion voxels on each functional cortical ROI (Region of Interest) independently using only T1-weighted MR images (T1-MRI). In contrast to existing automatic lesion detection methods, which typically detect lesion voxels on the whole MR image or on gray matter (GM)/white matter (WM), we show that the proposed functional cortical ROI based method can lead to better lesion-detection performance. We evaluate the proposed method using an in-house dataset with 60 chronic stroke patients. Using leave-one-subject-out cross validation, the proposed method can achieve an average Dice coefficient of 0.74 ± 0.11 and outperform three state-of-the-art methods by more than 0.05.
机译:对MR图像上的脑病变的准确性和精确检测对于将病变位置与损害的行为相关起见很重要。在本文中,我们提出了一种在仅使用T1加权MR图像(T1-MRI)上独立地检测每个功能皮质ROI(感兴趣区域)的病变体素的方法。与现有的自动病变检测方法相比,这通常检测整个MR图像或灰质(GM)/白质(WM)上的病变体素,我们表明所提出的功能皮质ROI的方法可以导致更好的病变检测表现。我们评估使用具有60例慢性卒中患者的内部数据集的提出的方法。使用休假 - 一次性交叉验证,所提出的方法可以达到0.74±0.11的平均骰子系数,并且优于最新的方法超过0.05。

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