eprintid: 10049420
rev_number: 18
eprint_status: archive
userid: 608
dir: disk0/10/04/94/20
datestamp: 2018-05-29 13:29:04
lastmod: 2021-10-14 23:01:40
status_changed: 2018-05-29 13:29:04
type: article
metadata_visibility: show
creators_name: David, G
creators_name: Freund, P
creators_name: Mohammadi, S
title: The efficiency of retrospective artifact correction methods in improving the statistical power of between-group differences in spinal cord DTI
ispublished: pub
divisions: UCL
divisions: B02
divisions: C07
divisions: D07
divisions: F85
keywords: Science & Technology, Life Sciences & Biomedicine, Neurosciences, Neuroimaging, Radiology, Nuclear Medicine & Medical Imaging, Neurosciences & Neurology, DIFFUSION-WEIGHTED MRI, WHITE-MATTER PATHOLOGY, IN-VIVO, MULTIPLE-SCLEROSIS, ROBUST ESTIMATION, EDDY-CURRENT, OPTIC-NERVE, GRAY-MATTER, HUMAN BRAIN, TENSOR
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abstract: Diffusion tensor imaging (DTI) is a promising approach for investigating the white matter microstructure of the spinal cord. However, it suffers from severe susceptibility, physiological, and instrumental artifacts present in the cord. Retrospective correction techniques are popular approaches to reduce these artifacts, because they are widely applicable and do not increase scan time.

In this paper, we present a novel outlier rejection approach (reliability masking) which is designed to supplement existing correction approaches by excluding irreversibly corrupted and thus unreliable data points from the DTI index maps. Then, we investigate how chains of retrospective correction techniques including (i) registration, (ii) registration and robust fitting, and (iii) registration, robust fitting, and reliability masking affect the statistical power of a previously reported finding of lower fractional anisotropy values in the posterior column and lateral corticospinal tracts in cervical spondylotic myelopathy (CSM) patients.

While established post-processing steps had small effect on the statistical power of the clinical finding (slice-wise registration: −0.5%, robust fitting: +0.6%), adding reliability masking to the post-processing chain increased it by 4.7%. Interestingly, reliability masking and registration affected the t-score metric differently: while the gain in statistical power due to reliability masking was mainly driven by decreased variability in both groups, registration slightly increased variability. In conclusion, reliability masking is particularly attractive for neuroscience and clinical research studies, as it increases statistical power by reducing group variability and thus provides a cost-efficient alternative to increasing the group size.
date: 2017-06-29
date_type: published
publisher: ACADEMIC PRESS INC ELSEVIER SCIENCE
official_url: https://doi.org/10.1016/j.neuroimage.2017.06.051
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
article_type_text: Article
verified: verified_manual
elements_id: 1302557
doi: 10.1016/j.neuroimage.2017.06.051
lyricists_name: Freund, Patrick
lyricists_id: PFREU62
actors_name: Stacey, Thomas
actors_id: TSSTA20
actors_role: owner
full_text_status: public
publication: NeuroImage
volume: 158
pagerange: 296-307
pages: 12
issn: 1095-9572
citation:        David, G;    Freund, P;    Mohammadi, S;      (2017)    The efficiency of retrospective artifact correction methods in improving the statistical power of between-group differences in spinal cord DTI.                   NeuroImage , 158    pp. 296-307.    10.1016/j.neuroimage.2017.06.051 <https://doi.org/10.1016/j.neuroimage.2017.06.051>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10049420/1/1-s2.0-S1053811917305220-main.pdf