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首页> 外文会议>SPIE Medical Imaging Conference >Random walk based optic chiasm localization using multi-parametric MRI for patients with pituitary adenoma
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Random walk based optic chiasm localization using multi-parametric MRI for patients with pituitary adenoma

机译：垂体腺瘤患者使用多参数MRI的随机行走视交叉定位

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摘要

The relative position between the optic chiasm and the pituitary adenoma will affect the pattern and severity of visual field defect, which is the most common and early onset visual disability induced by this kind of tumor. In this paper we describe an interactive method to localize the optic chiasm from multi-parametric magnetic resonance imaging (MRI) data by using a combined random walk algorithm. In the optic chiasm extraction framework, the modified random walk segmentation integrates the different information of T1-weighted (T1W) and T2-weighted (T2W) three-dimension (3-D) MRI data into the energy formulation to deduce the probabilities that voxels are assigned to the foreground and background. To avoid extract the wrong region into the object, we design a threshold based region detection method to segment the optic chiasm from the probabilities map. The proposed method is tested on 16 T1W and T2W MRI data from 16 patients diagnosed with pituitary adenoma. Experimental results show that the proposed method provides clinicians with good effectiveness and accuracy in the segmentation of the optic chiasm in patients with pituitary tumors to assist diagnosis and treatment.
机译：视神经结石和垂体腺瘤之间的相对位置将影响视野缺陷的模式和严重程度，这是这种肿瘤诱导的最常见和早期的视觉残疾。在本文中，我们描述了一种通过组合随机播放算法通过多参数磁共振成像（MRI）数据本地化光学Chiasm的交互方法。在光学Chiasm提取框架中，改进的随机步道分割将T1加权（T1W）和T2加权（T2W）三维（3-D）MRI数据的不同信息集成到能量配方中，推测体素的概率被分配到前景和背景。为避免将错误区域提取到对象中，我们设计了一种基于阈值的区域检测方法，用于从概率映射分段。从诊断脑垂体腺瘤的16名患者中，在16个T1W和T2W MRI数据上测试所提出的方法。实验结果表明，该方法提供临床医生，在垂体肿瘤患者中，在垂体肿瘤患者中进行良好的有效性和准确性，以协助诊断和治疗。

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