CAJ | 학술논문

目的探讨一种针对磁共振图像超分辨率重建的有效算法.方法根据图像间存在的微小结构差异,应用结构自适应归一化卷积算法,对重复扫描获取的磁共振图像进行超分辨率重建,同时运用其他4种常用超分辨率重建算法进行相同处理,计算峰值信噪比,比较重建效果.结果结构自适应归一化卷积算法与其他算法相比,能够更好地保留磁共振图像的边缘和细节特征.结论结构自适应归一化卷积算法结合了局部结构信息,可获得质量较好的高分辨率磁共振图像.
목적 탐토일충침대자공진도상초분변솔중건적유효산법.방법 근거도상간존재적미소결구차이,응용결구자괄응귀일화권적산법,대중복소묘획취적자공진도상진행초분변솔중건,동시운용기타4충상용초분변솔중건산법진행상동처리,계산봉치신조비,비교중건효과.결과 결구자괄응귀일화권적산법여기타산법상비,능구경호지보류자공진도상적변연화세절특정.결론 결구자괄응귀일화권적산법결합료국부결구신식,가획득질량교호적고분변솔자공진도상.
Objective To explore an efficient super-resolution reconstruction algorithm for magnetic resonance image (MRI). Methods According to the tiny structural differences existing among MRI, the structure adaptive normalized convolution algorithm was applied to the super-resolution reconstruction of repeatedly scanned MRI. Other four kinds of algorithms were also used to compare the results of reconstruction. The peak signal to noise ratio (PSNR) between MRI and high-resolution images were calculated. Results Compared with other algorithms, structure-adaptive normalized convolution algorithm could better reserve the edge and the details of the images. Conclusion The algorithm, taking into consideration of local structure information to the reconstruction of high-resolution MRI, can significantly improve the quality of image.