计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (25): 199-202.DOI: 10.3778/j.issn.1002-8331.2008.25.060

• 工程与应用 • 上一篇    下一篇

基于MRF-MAP和模糊质量图的相位展开算法

李本星,马建华,冯衍秋,陈武凡   

  1. 南方医科大学 生物医学工程学院 医学信息研究所,广州 510515
  • 收稿日期:2008-03-14 修回日期:2008-05-15 出版日期:2008-09-01 发布日期:2008-09-01
  • 通讯作者: 李本星

MRF-MAP and fuzzy quality map based phase unwrapping algorithm

LI Ben-xing,MA Jian-hua,FENG Yan-qiu,CHEN Wu-fan   

  1. Institute of Medical Info. & Tech.,School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China
  • Received:2008-03-14 Revised:2008-05-15 Online:2008-09-01 Published:2008-09-01
  • Contact: LI Ben-xing

摘要: 相位展开是磁共振成像技术应用中最关键的环节之一,可以为磁共振的某些重要临床应用提供精确的相位信息。然而,由于临床磁共振成像过程中,部分区域真实的相位存在急剧变化,同时伴有不同性态的噪声污染,导致相位展开时存在信息的高度不一致性。为了有效地解决上述难题,基于马尔可夫-最大后验(Markov Random Field & Maximum A Posterioi,MRF-MAP)模型,首次将相位展开看作计算机视觉中的标记问题,并结合磁共振相位数据的特点,设计出相位图的模糊质量图,完成相位展开的能量函数构建。针对能量函数的优化求解,采用高效的图割算法进行。

关键词: 相位展开, 图割, 模糊质量图, 标记

Abstract: Phase unwrapping is one of the most key steps in magnetic resonance imaging(MRI) applications in which accurate phase is required.The main difficulty in phase unwrapping stems from the noise and(or) abrupt variation in the true phase data.To address this problem,we present a method based on Markov Random Field & Maximum A Posterioi(MRF-MAP).We regard phase unwrapping as labeling problem in computer vision for the first time.Considering of the characteristic of MRI phase data,we design a fuzzy quality map and then obtain an energy function which is suitable to be minimize by an efficient algorithm based on graph cuts.

Key words: phase unwrapping, graph cuts, fuzzy quality map, labeling