Evidence map›Paper›PMID 25533337›Full record

ArticleMagnetic resonance in medicine2015

Contrast enhancement by combining T1- and T2-weighted structural brain MR Images.

Masaya Misaki, Jonathan Savitz, Vadim Zotev, Raquel Phillips, Han Yuan, Kymberly D Young, Wayne C Drevets, Jerzy Bodurka

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. The T1-weighted/T2-weighted ratio as a biomarker of anti-NMDA receptor encephalitis.Journal of neurology, neurosurgery, and psychiatry · 2024
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  15. GdProceedings of the National Academy of Sciences of the United States of America · 2022
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  16. Slowly Expanding Lesions Predict 9-Year Multiple Sclerosis Disease Progression.Neurology(R) neuroimmunology & neuroinflammation · 2022
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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

8 authors.

Masaya MisakiLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Jonathan SavitzLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Vadim ZotevLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Raquel PhillipsLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Han YuanLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Kymberly D YoungLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Wayne C DrevetsLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.
Jerzy BodurkaLaureate Institute for Brain Research, Tulsa, Oklahoma, USA.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Inflammatory Transcripts, Genes and Positive Valence System Function in AnhedoniaR01MH098099 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI BODURKA, JERZY ALEKSANDER · 2012 to 2015
$2.5M
NIMH NIH HHS R01 MH098099NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

purposeIn order to more precisely differentiate cerebral structures in neuroimaging studies, a novel technique for enhancing the tissue contrast based on a combination of T1-weighted (T1w) and T2-weighted (T2w) MRI images was developed.

methodsThe combined image (CI) was calculated as CI = (T1w - sT2w)/(T1w + sT2w), where sT2w is the scaled T2-weighted image. The scaling factor was calculated to adjust the gray- matter (GM) voxel intensities in the T2w image so that their median value equaled that of the GM voxel intensities in the T1w image. The image intensity homogeneity within a tissue and the discriminability between tissues in the CI versus the separate T1w and T2w images were evaluated using the segmentation by the FMRIB Software Library (FSL) and FreeSurfer (Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital, Boston, MA) software.

resultsThe combined image significantly improved homogeneity in the white matter (WM) and GM compared to the T1w images alone. The discriminability between WM and GM also improved significantly by applying the CI approach. Significant enhancements to the homogeneity and discriminability also were achieved in most subcortical nuclei tested, with the exception of the amygdala and the thalamus.

conclusionThe tissue discriminability enhancement offered by the CI potentially enables more accurate neuromorphometric analyses of brain structures.

Indexed as

AlgorithmsAdultBrainDiffusion Magnetic Resonance ImagingFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMaleMiddle AgedMultimodal ImagingReproducibility of ResultsSensitivity and SpecificityMRI contrast enhancementsubcortical segmentationT1- T2-weighted image fusiontissue segmentation

Identifiers

PMID25533337
PMCPMC4476954

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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.