期刊
NEUROIMAGE
卷 83, 期 -, 页码 245-261出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2013.06.030
关键词
Super-resolution Nonlocal means; Patch-based method; Diffusion-weighted imaging (DWI); Diffusion tensor imaging (DTI); High angular resolution diffusion imaging (HARDI); Ultra high resolution DWI/DTI/HARDI
资金
- French Agence Nationale de la Recherche
- HR-DTI [ANR-10-LABX-57]
- French National Agency for Research (Project MultImAD) [ANR-09-MNPS-015-01]
- Ministerio de Ciencia e Innovacion
In this paper, a new single image acquisition super-resolution method is proposed to increase image resolution of diffusion weighted (OW) images. Based on a nonlocal patch-based strategy, the proposed method uses a non-diffusion image (b0) to constrain the reconstruction of DW images. An extensive validation is presented with a gold standard built on averaging 10 high-resolution DW acquisitions. A comparison with classical interpolation methods such as trilinear and B-spline demonstrates the competitive results of our proposed approach in terms of improvements on image reconstruction, fractional anisotropy (FA) estimation, generalized FA and angular reconstruction for tensor and high angular resolution diffusion imaging (HARDI) models. Besides, first results of reconstructed ultra high resolution DW images are presented at 0.6 x 0.6 x 0.6 mm(3) and 0.4 x 0.4 x 0.4 mm(3) using our gold standard based on the average of 10 acquisitions, and on a single acquisition. Finally, fiber tracking results show the potential of the proposed super-resolution approach to accurately analyze white matter brain architecture. (C) 2013 Elsevier Inc. All rights reserved.
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