On Super-Resolution for Fetal Brain MRI
Super-resolution techniques provide a route to studying fine scale anatomical detail using multiple lower resolution acquisitions. In particular, techniques that do not depend on regular sampling can be used in medical imaging situations where imaging time and resolution are limited by subject motion. We investigate in this work the use of a super-resolution technique for anisotropic fetal brain MR data reconstruction without modifying the data acquisition protocol. The approach, which consists of iterative motion correction and high resolution image estimation, is compared with a previously used scattered data interpolation-based reconstruction method. To optimize acquisition time, an evaluation of the influence of the number of input images and image noise is also performed. Evaluation on simulated MR images and real data show significant improvements in performance provided by the super-resolution approach.
F.Rousseau K.Kim C.Studholme M.Koob J.-L.Dietemann
LSIIT, UMR 7005, CNRS - Universite de Strasbourg, Strasbourg Biomedical Image Computing Group, Department of Radiology and BiomedicalImaging, University of Calif LINC, FRE 3289, CNRS - Universite de Strasbourg, Strasbourg
国际会议
北京
英文
355-362
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）