CAJ | 학술논문

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。
상사성영사도재자공진의학영상처리중유착중요작용，가이응용우신호분석、의학도상분할화조직적국부약대동역학연구등。기우조직상사성도원리，문장통과확전동태영상서렬적개념，제출료일충신적최대상사성도량방법。해방법탁전료조직상사성영사도적응용장경，병능대폭도제고영사도적영상질량。통과16조다회파T2*가권적뇌조직동태영상서렬대문장산법적유효성진행험증。실험결과표명，여원시영상비교，신방법획득적영상능구장신조비제고3.8배지17.4배。
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.