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心脏实时电影成像数据处理方法研究 被引量:1

Analysis of Real-time Cine Imaging Data Processing Method for Cardiac Function
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摘要 心脏磁共振电影成像是临床上测量心脏功能的常规成像方法,需要在测试者多个心脏周期内采集K空间数据,因为受呼吸运动影响较大,需要受试者多次屏气才能完成。而心脏磁共振实时电影成像,可在受试者自由呼吸时的一个心动周期内采集完整的K空间数据,且图像质量受呼吸运动影响较小,有利于临床心脏功能分析。本文提供了一种在自由呼吸状态下的心脏磁共振实时电影成像数据处理方法,可有效实现在呼气末期时段对心脏舒张末期和收缩末期图像的快速检测。通过在图像中放置适当的参考线,获取整个数据采集过程中受试者的呼吸运动和心脏运动的情况。然后根据胸壁/横膈膜等组织的运动获得呼吸运动状态,快速确定呼气末期对应的时间段;而后在此区间内根据左心室心腔的大小自动确定心脏舒张末期和收缩末期两个用于量化心脏功能的重要心脏相位。最后将检测到的图像按照指定要求,自动存储,以方便后续心脏功能分析。此方法可大幅度减少数据处理时间,具有很好的临床应用价值和前景。 Cardiac magnetic resonance cine imaging is more commonly used in clinical imaging method for cardiac function analysis. A real-time free breathing cardiac magnetic resonance cine imaging data processing method, which is an effective way for rapid detection of end-diastolic(ED) and end-systolic(ES) phases at end-expiration graphically, was proposed in this paper. By placing the appropriate reference line in the frames, respiratory motion and cardiac motion could be observed during the entire data collection process of subjects. According to the movements of chest wall/diaphragm and other organs to obtain respiratory motion, the time period of end-expiration could be quickly determined; and then in the time period, cardiac end-diastolic and end-systolic as two important cardiac phases for cardiac function analysis were automatically identified according to the size of the left ventricle chamber. Finally, in accordance with specified requirements, automatically detected images were saved to facilitate subsequent cardiac function analysis. This method significantly reduces data processing time and therefore it has good clinical values and prospects.
出处 《集成技术》 2013年第5期30-33,共4页 Journal of Integration Technology
基金 国家自然科学基金项目(30900387) 深圳市基础研究项目(JC201005270311A) 广东创新团队-低成本医疗技术项目(GIRTF-LCHT)
关键词 心脏实时电影成像 自动检测 呼气末期 舒张末期 收缩末期 real-time cardiac cine imaging automatic detection end expiration end-diastole end-systole
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参考文献5

  • 1Meinrad Beer,Heimo Stamm,Wolfram Machann,Andreas Weng,Jan P. Goltz,Frank Breunig,Frank Weidemann,Dietbert Hahn,Herbert K?stler.Free breathing cardiac real-time cine MR without ECG triggering[J].International Journal of Cardiology.2010(2)
  • 2Yu Ding,Yiu-Cho Chung,Subha V Raman,Orlando P Simonetti.Application of the Karhunen–Loeve transform temporal image filter to reduce noise in real-time cardiac cine MRI[J].Physics in Medicine and Biology.2009(12)
  • 3Bernd J. Wintersperger,Konstantin Nikolaou,Olaf Dietrich,Johannes Rieber,Matthias Nittka,Maximilian F. Reiser,Stefan O. Schoenberg.Single breath-hold real-time cine MR imaging: improved temporal resolution using generalized autocalibrating partially parallel acquisition (GRAPPA) algorithm[J].European Radiology.2003(8)
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