摘要
本文应用小波变换与LOG边缘检测相结合的方法对腹部MRI中肝脏图像进行图像压缩与边缘提取,然后根进行图像分割与分类特征值的提取,并结合医师确定的图像区域进行图像分割效果的评价。最后利用判别分析法根据分类特征值进行是否患有肝硬化的图像识别。应用方法对日本国歧阜大学附属医院随机抽取的30枚腹部MRI图像进行处理,以10%的误判率结果说明了本方法的有效性。
edge of liver region from abdominal MRI,and then to carry the image segmentation and abstraction of characteristic values.The results of image segmentation are evaluated based on the liver region determined by doctor.Finally,discriminatory analysis methods is applied to recognize the image of liver cirrhosis according to the characteristic values.The new technique has been made image recognition of 30abdominal MRI images that are randomly abstracted from the affiliated hospitals of Gifu Univer-sity in Japan and get the results of 10%error rate,which also proved the effectiveness of this methods.
出处
《中国临床医学影像杂志》
CAS
2002年第5期337-341,共5页
Journal of China Clinic Medical Imaging
