XQ-NLM: Denoising diffusion MRI data via x-q space non-local patch matching

Geng Chen, Yafeng Wu, Dinggang Shen, Pew Thian Yap

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Noise is a major issue influencing quantitative analysis in diffusion MRI. The effects of noise can be reduced by repeated acquisitions,but this leads to long acquisition times that can be unrealistic in clinical settings. For this reason,post-acquisition denoising methods have been widely used to improve SNR. Among existing methods,nonlocal means (NLM) has been shown to produce good image quality with edge preservation. However,currently the application of NLM to diffusion MRI has been mostly focused on the spatial space (i.e.,the x-space),despite the fact that diffusion data live in a combined space consisting of the x-space and the q-space (i.e.,the space of wavevectors). In this paper,we propose to extend NLM to both x-space and q-space. We show how patch-matching,as required in NLM,can be performed concurrently in x-q space with the help of azimuthal equidistant projection and rotation invariant features. Extensive experiments on both synthetic and real data confirm that the proposed x-q space NLM (XQ-NLM) outperforms the classic NLM.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
PublisherSpringer Verlag
Pages587-595
Number of pages9
Volume9902 LNCS
ISBN (Print)9783319467252
DOIs
Publication statusPublished - 2016
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9902 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Fingerprint

Denoising
Magnetic resonance imaging
Patch
Image quality
Chemical analysis
Experiments
Rotation Invariant
Equidistant
Quantitative Analysis
Image Quality
Preservation
Projection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Chen, G., Wu, Y., Shen, D., & Yap, P. T. (2016). XQ-NLM: Denoising diffusion MRI data via x-q space non-local patch matching. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings (Vol. 9902 LNCS, pp. 587-595). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46726-9_68

XQ-NLM : Denoising diffusion MRI data via x-q space non-local patch matching. / Chen, Geng; Wu, Yafeng; Shen, Dinggang; Yap, Pew Thian.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Vol. 9902 LNCS Springer Verlag, 2016. p. 587-595 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9902 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, G, Wu, Y, Shen, D & Yap, PT 2016, XQ-NLM: Denoising diffusion MRI data via x-q space non-local patch matching. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. vol. 9902 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9902 LNCS, Springer Verlag, pp. 587-595. https://doi.org/10.1007/978-3-319-46726-9_68
Chen G, Wu Y, Shen D, Yap PT. XQ-NLM: Denoising diffusion MRI data via x-q space non-local patch matching. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Vol. 9902 LNCS. Springer Verlag. 2016. p. 587-595. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-46726-9_68
Chen, Geng ; Wu, Yafeng ; Shen, Dinggang ; Yap, Pew Thian. / XQ-NLM : Denoising diffusion MRI data via x-q space non-local patch matching. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Vol. 9902 LNCS Springer Verlag, 2016. pp. 587-595 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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