基于小波变换的PET/CT图像融合算法研究进展

Research progresses of PET/CT image fusion algorithm based on wavelet transform

随着图像融合技术在影像学领域的不断发展,越来越多新的影像技术及成像设备出现。PET/CT将PET和CT两种模态的医学图像进行融合,优势互补,提高了医师诊断疾病的效率及准确率。小波变换在医学图像融合中有重要作用,基于小波变换的算法使融合后图像的细节更加清晰而易于诊断,已成为近年来医学图像融合领域中研究的重点。本文对基于小波变换的PET/CT图像融合算法的研究进展进行综述。

With the continuous development of image fusion technology in the field of medical imaging,more and more new imaging technologies and imaging devices have emerged.PET/CT combines PET and CT modal medical images to complement each other and improves the efficiency and accuracy of doctors’ diagnosis of diseases.Wavelet transform plays an important role in medical image fusion.The algorithm based on wavelet transform makes the details of the fused image clearer and easier to diagnose diseases.It has become the focus of research in the field of medical image fusion in recent years.The research progresses of PET/CT image fusion algorithm based on wavelet transform were reviewed in this article.