Denoising Diffusion MRI Data via x-q Space Non-Local Patch Matching
pmc.ncbi.nlm.nih.gov › PMC5223578
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 ...
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 ...
It is shown how patch-matching, as required in NLM, can be performed concurrently in x-q space with the help of azimuthal equidistant projection and ...
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 ...
In this paper, we have proposed an improved NLM algorithm that caters to the spatio-angular characteristics of DMRI data. Our method, called XQ-NLM, performs ...
S2 TL;DR: It is shown how patch-matching, as required in NLM, can be performed concurrently in x-q space with the help of azimuthal equidistant projection ...
XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching · Non Local Spatial and Angular Matching : Enabling higher spatial resolution ...
In this work, we employ the recently introduced x-q space non-local means (XQ-NLM)6 algorithm for estimating the location parameter of the NCC distribution so ...
Oct 22, 2024 · Chen.G., et.al (2019) defines an algorithm for removing noise in diffusion MRI data using graph Framelet Matching in x-q Space which initiates ...
Dec 7, 2021 · -T., XQ-NLM: denoising diffusion MRI data via x-q space non-local patch matching, In Medical Image Computing and Computer-Assisted ...