首页 | 本学科首页   官方微博 | 高级检索  
检索        


Reduction of truncation artifacts in rapid 3D articular cartilage imaging
Authors:Rakow-Penner Rebecca  Gold Garry  Daniel Bruce  Stevens Kate  Rosenberg Jarrett  Mazin Samuel  Pauly John  Glover Gary H
Institution:Department of Radiology, School of Medicine, Stanford University, Stanford, California 94305-5488, USA. rakow@stanford.edu
Abstract:PURPOSE: To reduce Gibbs ringing artifact in three-dimensional (3D) articular knee cartilage imaging with linear prediction (LP). MATERIALS AND METHODS: A reconstruction method using LP in 3D was applied to truncated data sets of six healthy knees. The technique first linearizes the data before applying the prediction algorithm. Three radiologists blindly reviewed and ranked images of the full, truncated, and predicted data sets. Statistical analysis of the radiologists' reviews was performed for image quality, clinical acceptability of the images, and equivalence with the gold standard. RESULTS: LP applied to 3D knee cartilage imaging allows for 40% decreased scan time while providing image quality with statistical equivalence to a full data set. CONCLUSION: 3D spoiled gradient echo imaging (SPGR) knee cartilage imaging requires significant scan time. This 40% reduction in scan time will allow such scans to be more feasible without sacrificing clinical acceptability.
Keywords:articular cartilage  linear prediction  knee MRI  rapid imaging  3D knee imaging
本文献已被 PubMed 等数据库收录!
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