A modified gradient correlation filter for image segmentation: application to airway and bowel.
A modified gradient correlation filter for image segmentation: application to airway and bowel.
复制标题
用于图像分割的改进梯度相关滤波器：在气道和肠道中的应用。
DOI：
10.1118/1.3056461
复制
发表时间：
2009
期刊：
影响因子：
3.8
通讯作者：
Armato3rd,SamuelG
中科院分区：
文献类型：
--
作者：
Sensakovic,WilliamF;Starkey,Adam;Armato3rd,SamuelG
从医学图像中对感兴趣的结构的分割可能不正确地包括分割图像中的相邻结构（即假阳性）。本研究引入了一系列梯度相关滤波器，通过将分割的区域梯度与用户定义的模型进行比较，减少了分割图像中的误报。将梯度相关滤波器应用于临床计算机断层扫描数据库，用于区分气道和肺区域以及肠和肺区域。使用受试者操作特征分析对结果进行评估，结果显示，气道/肺和肠/肺分类任务均取得了优异的结果。
The segmentation of structures of interest from medical images may incorrectly include adjacent structures in the segmented image (i.e., false positives). This study introduces a family of gradient correlation filters that reduce false positives in the segmented image by comparing the segmented region gradients with a user‐defined model. A gradient correlation filter was applied to a database of clinical computed tomography scans for the task of differentiating airway from lung regions and bowel from lung regions. The results were evaluated using receiver‐operating characteristic analysis and demonstrated excellent results for both the airway/lung and bowel/lung classification tasks.