TY -的TI -对增强脑部肿瘤在MRI图像分割基于温度变化病理区六世- 2019 PY - 2019 DA - 2019/03/03做- 10.1155 / 2019/1758948 UR - https://doi.org/10.1155/2019/1758948 AB -大脑肿瘤分割是区分肿瘤与正常脑组织的过程;在临床常规中，它为诊断和治疗计划提供了有用的信息。但由于肿瘤形态不规则、边界混乱，其治疗仍是一个具有挑战性的课题。肿瘤细胞热性地代表热源;与正常的脑细胞相比，它们的体温很高。本论文的主要目的是证明利用脑肿瘤的热信息可以减少MRI图像分割的假阳性和假阴性结果。采用有限差分法对Pennes生物热方程进行数值求解，模拟脑内温度分布;在模拟温度中加入±2%的高斯噪声。利用Canny边缘检测器从计算出的热像图中检测出肿瘤轮廓，因为计算出的温度在肿瘤轮廓上有较大的梯度。将所提出的方法与基于Chan-Vese的水平集分割方法应用于含有ground truth的T1增强和Flair序列MRI图像进行了比较。 The method is tested in four different phantom patients by considering different tumor volumes and locations and 50 synthetic patients taken from BRATS 2012 and BRATS 2013. The obtained results in all patients showed significant improvement using the proposed method compared to segmentation by level set method with an average of 0.8% of the tumor area and 2.48% of healthy tissue was differentiated using thermal images only. We conclude that tumor contours delineation based on tumor temperature changes can be exploited to reinforce and enhance segmentation algorithms in MRI diagnostic. JF - International Journal of Biomedical Imaging SN - 1687-4188 PB - Hindawi SP - 1758948 KW - A2 - Sun, Lizhi AU - Bousselham, Abdelmajid AU - Bouattane, Omar AU - Youssfi, Mohamed AU - Raihani, Abdelhadi ER -