【影像组学pyradiomics教程】 (二) pyradiomics 使用示例

• 测试用的图片：

  pyradiomics\data\brain1_image.nrrd 和 pyradiomics\data\brain1_label.nrrd’

• 测试用的配置文件：

  pyradiomics\examples\exampleSettings\Params.yaml

• 将上述图片和配置文件拷贝到同一个文件夹，并且在同一文件夹下新建Python File

代码：

import radiomics
import radiomics.featureextractor as FEE

# 文件名
main_path =  '.'
ori_name = r'\brain1_image.nrrd'
lab_name = r'\brain1_label.nrrd'
para_name = r'\Params.yaml'

# 文件全部路径
ori_path = main_path + ori_name  
lab_path = main_path + lab_name
para_path = main_path + para_name
print("originl path: " + ori_path)
print("label path: " + lab_path)
print("parameter path: " + para_path)

# 使用配置文件初始化特征抽取器
extractor = FEE.RadiomicsFeaturesExtractor(para_path)
print ("Extraction parameters:\n\t", extractor.settings)
print ("Enabled filters:\n\t", extractor._enabledImagetypes)
print ("Enabled features:\n\t", extractor._enabledFeatures)

# 运行
result = extractor.execute(ori_path,lab_path)  #抽取特征
print ("Result type:", type(result))  # result is returned in a Python ordered dictionary
print ("")
print ("Calculated features")
for key, value in result.items():  #输出特征
    print ("\t", key, ":", value)