文献类型： 会议论文
第一作者： J. Beaumont
作者： J. Beaumont 1 ; H. Saint-Jalmes 1 ; O. Acosta 1 ; T. Kober 2 ; M. Tanner 3 ; J. C. Ferre 4 ; O. Salvado 5 ; J. Fripp 6 ; G. Gambarota 1 ;
作者机构： 1.Univ Rennes, CLCC Eugene Marquis, Inserm, LTSI-UMR1099
2.Advanced Clinical Imaging Technology, Siemens Healthcare AG
3.Invicro, A Konica Minolta Company
4.Univ Rennes, Inria, CNRS, INSERM, IRISA, VISAGES ERL U-1228
5.CSIRO, Data61
6.CSIRO, the Australian eHealth Research Centre
关键词： Brain;MRI;FLAWS;Image enhancement;Deep brain stimulation
会议名称： IEEE International Symposium on Biomedical Imaging
主办单位：
页码： 701-704
摘要： A novel magnetic resonance imaging (MRI) sequence called fluid and white matter suppression (FLAWS) was recently proposed for brain imaging at 3T. This sequence provides two co-registered 3D-MRI datasets of T1-weighted images. The voxel-wise division of these two datasets yields contrast-enhanced images that have been used in preoperative Deep Brain Stimulation (DBS) planning. In the current study, we propose a new way of combining the two 3D-MRI FLAWS datasets to increase the contrast-to-noise ratio of the resulting images. Furthermore, since many centers performing DBS are equipped with 1.5T MRI systems, we also optimized the FLAWS sequence parameters for the data acquisition at the field strength of 1.5T.
分类号： TP391.41-53
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