一种改进的组织相似性映射图方法

An Improved Method Based on Tissue Similarity Mapping

相似性映射图在磁共振医学影像处理中有着重要作用,可以应用于信号分析、医学图像分割和组织的局部药代动力学研究等。基于组织相似性图原理,文章通过扩展动态影像序列的概念,提出了一种新的最大相似性度量方法。该方法拓展了组织相似性映射图的应用场景,并能大幅度提高映射图的影像质量。通过16组多回波T2*加权的脑组织动态影像序列对文章算法的有效性进行验证。实验结果表明,与原始影像比较,新方法获得的影像能够将信噪比提高3.8倍至17.4倍。

The similarity mapping plays an important role in the medical image processing field, including signal investigation, image segmentation and pharmacokinetics of local tissues. Based on tissue similarity mapping （TSM）, the concept of dynamic imaging was generalized in this paper, and an improved method was proposed. By the new method, the application ifelds of TSM can be extended and the image quality can be enhanced dramatically. With 16 series of human brain images acquired from 12-echo T2＊weighted magnetic resonance imaging, these experiments validate that the signal to noise ratio （SNR） from improved method is increased by 3.8 to 17.4 times.