A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions
Artefacts in MRI Scans
- URL: http://arxiv.org/abs/2006.13804v2
- Date: Mon, 29 Jun 2020 17:54:13 GMT
- Title: A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions
Artefacts in MRI Scans
- Authors: Michael Rotman, Rafi Brada, Israel Beniaminy, Sangtae Ahn, Christopher
J. Hardy, Lior Wolf
- Abstract summary: We propose a novel method for removing motion artefacts using a deep neural network with two input branches.
The proposed method can be applied to artefacts generated by multiple movements of the patient.
- Score: 63.28835187934139
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Motion artefacts created by patient motion during an MRI scan occur
frequently in practice, often rendering the scans clinically unusable and
requiring a re-scan. While many methods have been employed to ameliorate the
effects of patient motion, these often fall short in practice. In this paper we
propose a novel method for removing motion artefacts using a deep neural
network with two input branches that discriminates between patient poses using
the motion's timing. The first branch receives a subset of the $k$-space data
collected during a single patient pose, and the second branch receives the
remaining part of the collected $k$-space data. The proposed method can be
applied to artefacts generated by multiple movements of the patient.
Furthermore, it can be used to correct motion for the case where $k$-space has
been under-sampled, to shorten the scan time, as is common when using methods
such as parallel imaging or compressed sensing. Experimental results on both
simulated and real MRI data show the efficacy of our approach.
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