Evidence map›Paper›PMID 28127590›Full record

ArticleMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention2016

Motion-Robust Reconstruction based on Simultaneous Multi-Slice Registration for Diffusion-Weighted MRI of Moving Subjects.

Bahram Marami, Benoit Scherrer, Onur Afacan, Simon K Warfield, Ali Gholipour

Abstract read
In one paragraph

Article in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bahram MaramiBoston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Benoit ScherrerBoston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Onur AfacanBoston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Simon K WarfieldBoston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Ali GholipourBoston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Early Biomarkers of Autism Spectrum Disorders in infants with Tuberous SclerosisU01NS082320 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI KRUEGER, DARCY, SAHIN, MUSTAFA · 2012 to 2018
$13.3M
Improved Motion Robust MRI of ChildrenR01EB019483 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2015 to 2024
$3.9M
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and AutismR01NS079788 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2013 to 2017
$3.6M
Motion-robust super-resolution diffusion weighted MRI of early brain developmentR01EB018988 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI GHOLIPOUR-BABOLI, ALI · 2014 to 2017
$1.6M
Improved Quantitative Assessment of the Fetal Brain from 3D Volumetric MRIR01EB013248 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2012 to 2015
$1.5M
NIBIB NIH HHS R01 EB013248NIBIB NIH HHS R01 EB018988NIBIB NIH HHS R01 EB019483NINDS NIH HHS R01 NS079788NINDS NIH HHS U01 NS082320
6 · The paper itself

Abstract

Simultaneous multi-slice (SMS) echo-planar imaging has had a huge impact on the acceleration and routine use of diffusion-weighted MRI (DWI) in neuroimaging studies in particular the human connectome project; but also holds the potential to facilitate DWI of moving subjects, as proposed by the new technique developed in this paper. We present a novel registration-based motion tracking technique that takes advantage of the multi-plane coverage of the anatomy by simultaneously acquired slices to enable robust reconstruction of neural microstructure from SMS DWI of moving subjects. Our technique constitutes three main components: 1) motion tracking and estimation using SMS registration, 2) detection and rejection of intra-slice motion, and 3) robust reconstruction. Quantitative results from 14 volunteer subject experiments and the analysis of motion-corrupted SMS DWI of 6 children indicate robust reconstruction in the presence of continuous motion and the potential to extend the use of SMS DWI in very challenging populations.

Indexed as

AlgorithmsOrgan MotionAdolescentBrainChildChild, PreschoolDiffusion Magnetic Resonance ImagingEcho-Planar ImagingHeadHumansReproducibility of ResultsSensitivity and SpecificityTime FactorsDiffusion-weightedMotionMRISimultaneous multi-slice

Identifiers

PMID28127590
PMCPMC5257341

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.