摘要
由于常规医学图像的有效信息量较少,参考常规医学图像会影响肿瘤病情的判断,导致肿瘤放射治疗临床效果较低,为此提出医学图像融合技术,并将其应用到肿瘤放射治疗工作当中。利用医学设备采集患者的初始医学图像,通过灰度化、负像化和直方图预处理医学图像。经过医学图像的配准空间变换,将参考图像与浮动图像导入配准空间内,保证映射点与像素原点重合,实现多模态医学图像的配准处理。采用融合算子融合医学图像的各个级别及系数,得到重构的医学融合图像。输出医学图像融合结果,将医学图像融合结果应用到肿瘤放射治疗中,确定靶区位置并调整放射剂量,实现患者肿瘤放射治疗。实验结果表明,将医学图像融合技术应用到实际的肿瘤放射治疗工作中,可以有效地提高肿瘤的临床治疗效果,具有较高的应用价值。
Due to the small amount of effective information of conventional medical images,the reference to conventional medical images will affect the judgment of the tumor condition,resulting in low clinical effect of tumor radiotherapy.Therefore,medical image fusion technology is proposed and applied to tumor radiotherapy.This paper uses medical equipment to collect the initial medical image of the patient,pre-processes the medical image through grayscale,negative image and histogram.After the registration space transformation of the medical image,the reference image and the floating image are imported into the registration space to ensure that the mapping point coincides with the origin of the pixel to realize the registration processing of multi-modal medical images.The fusion operator is used to fuse each level and coefficient of the medical image to obtain the reconstructed medical fusion image.The medical image fusion result is output and applied in tumor radiotherapy to determine the location of the target area and adjust the radiation dose so as to achieve radiotherapy for patients.The experimental results show that the application of medical image fusion technology to the actual tumor radiotherapy work can effectively improve the clinical treatment effect of tumors and has high application value.
作者
李文裕
周凌宏
LI Wen-yu;ZHOU Ling-hong(School of Biomedical Engineering,Southern Medical University,Guangzhou 510508,China)
出处
《计算机与现代化》
2021年第7期83-88,共6页
Computer and Modernization
基金
国家重点研发计划项目(2019YFC0121901)。
关键词
医学图像
图像融合技术
肿瘤治疗
放射治疗
medical image
image fusion technology
tumor treatment
radiotherapy
