图像融合在医学超声影像中的应用

Image Fusion in Medical Ultrasonic Imaging

图像融合是图像分析和处理的基本问题,在医学影像领域有着广泛的应用。将它引入医学超声影像中,以期获得更清晰的利于诊断的医学超声图像。利用小波变换理论首先将谐波图像与基波图像进行分解,然后利用基于窗口的融合规则进行融合,最后利用小波逆变换重建图像。融合结果表明融合后的医学超声图像更清晰,计算结果表明信噪比更高。融合方法使得借助超声进行疾病诊断的结果更为准确。

Image fusion is fundamental problem in image analysis and processing, and is used widely in medical imaging. To acquire better medical ultrasonic image of diagnosis, image fusion is introduced in ultrasonic imaging. The harmonic image and fundamental image are decomposed into sub-images with wavelet transform. Fusion is completed with rules based on windows. Then fusion image is reconstructed. Results show the fusion image is better, and computation results show the signal to noise is higher. So the fusion method makes the diagnosis of illness more accurate.