首页 | 本学科首页   官方微博 | 高级检索  
     


High-pass GRAPPA: an image support reduction technique for improved partially parallel imaging.
Authors:Feng Huang  Yu Li  Sathya Vijayakumar  Sarah Hertel  George R Duensing
Affiliation:Advanced Concept Development, Invivo Corp., 3545 SW 47th Ave., Gainesville, FL 32608, USA. fhuang@invivocorp.com
Abstract:Partially parallel imaging (PPI) is a widely used technique in clinical applications. A limitation of this technique is the strong noise and artifact in the reconstructed images when high reduction factors are used. This work aims to increase the clinical applicability of PPI by improving its performance at high reduction factors. A new concept, image support reduction, is introduced. A systematic filter-design approach for image support reduction is proposed. This approach shows more advantages when used with an important existing PPI technique, GRAPPA. An improved GRAPPA method, high-pass GRAPPA (hp-GRAPPA), was developed based on this approach. The new technique does not involve changing the original GRAPPA kernel and performs reconstruction in almost the same amount of time. Experimentally, it is demonstrated that the reconstructed images using hp-GRAPPA have much lower noise/artifact level than those reconstructed using GRAPPA.
Keywords:GRAPPA  image support  parallel imaging  high‐pass filter
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号