Detection of brain tumor in 3D MRI images using local binary patterns and histogram orientation gradient

Detection of brain tumor in 3D MRI images using local binary patterns and histogram orientation gradient
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DOI:
10.1016/j.neucom.2016.09.051
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发表时间:
2017-01-05
期刊:
影响因子:
6
通讯作者:
Tajeripour, Farshad
Tajeripour, Farshad
中科院分区:
计算机科学2区
文献类型:
--
作者:
Abbasi, Solmaz;Tajeripour, Farshad

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脑肿瘤病理是最常见的死亡问题之一,被认为是卫生保健社会的基本优先事项。准确诊断这种疾病的类型对于制定治疗计划至关重要,这可以将致命的后果降到最低。分割和检测的主要目的是区分大脑的不同区域。除了准确性之外,这些技术还需要快速实现。本文提出了一种三维图像中脑肿瘤的自动检测方法。第一步,采用偏置场校正和直方图匹配对图像进行预处理。在下一步中,感兴趣的区域被识别并从Flair图像的背景中分离出来。三个正交平面的局部二值模式(LBP-TOP)和方向梯度直方图(HOG-TOP)作为学习特征。由于本研究使用的是三维图像,为了扩展三维图像的直方图方向梯度,我们在三个正交平面上使用了局部二值模式的思想。然后使用随机森林来分割肿瘤区域。我们在BRATS 2013的神经胶质瘤图像上评估了算法的性能。我们的实验结果和分析表明,与其他技术相比,我们提出的框架在检测脑肿瘤方面具有优势。
Brain tumor pathology is one of the most common mortality issues considered as an essential priority for health care societies. Accurate diagnosis of the type of disorder is crucial to make a plan for remedy that can minimize the deadly results. The main purpose of segmentation and detection is to make distinction between different regions of the brain. Besides accuracy, these techniques should be implemented quickly.In this paper an automatic method for brain tumor detection in 3D images has been proposed. In the first step, the bias field correction and histogram matching are used for pre-processing of the images. In the next step, the region of interest is identified and separated from the background of the Flair image. Local binary pattern in three orthogonal planes (LBP-TOP) and histogram of orientation gradients (HOG-TOP) are used as the learning features. Since 3D images are used in this research we use the idea of in local binary pattern in three orthogonal planes in order to extend histogram orientation gradients for 3D images. The random forest is then used to segment tumorous regions. We evaluate the performance of our algorithm on glioma images from BRATS 2013. Our experimental results and analyses indicate that our proposed framework is superior in detecting brain tumors in comparison with other techniques.