Evidence map›Paper›PMID 30818328›Full record

ArticlePloS one2019

Brain tissue segmentation based on MP2RAGE multi-contrast images in 7 T MRI.

Uk-Su Choi, Hirokazu Kawaguchi, Yuichiro Matsuoka, Tobias Kober, Ikuhiro Kida

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. VolumetricZeitschrift fur medizinische Physik · 2022
    Article
  8. Application of Clustering-Based Analysis in MRI Brain Tissue Segmentation.Computational and mathematical methods in medicine · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 7T MPFLAIR versus MP2RAGE for Quantifying Lesion Volume in Multiple Sclerosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2020
    Article
  15. Poster Viewing Sessions PB01-B01 to PB03-V09.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
    Article
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.

Uk-Su ChoiCenter for Information and Neural Networks, National Institute of Information and Communications Technology, Osaka, Japan.
Hirokazu KawaguchiSiemens Healthcare K.K., Osaka, Japan.
Yuichiro MatsuokaCenter for Information and Neural Networks, National Institute of Information and Communications Technology, Osaka, Japan.
Tobias KoberAdvanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland.
Ikuhiro KidaCenter for Information and Neural Networks, National Institute of Information and Communications Technology, Osaka, Japan.ORCID 0000-0001-6592-3349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We proposed a method for segmentation of brain tissues-gray matter, white matter, and cerebrospinal fluid-using multi-contrast images, including a T1 map and a uniform T1-weighted image, from a magnetization-prepared 2 rapid acquisition gradient echoes (MP2RAGE) sequence at 7 Tesla. The proposed method was evaluated with respect to the processing time and the similarity of the segmented masks of brain tissues with those obtained using FSL, FreeSurfer, and SPM12. The processing time of the proposed method (28 ± 0 s) was significantly shorter than those of FSL and SPM12 (444 ± 4 s and 159 ± 2 s for FSL and SPM12, respectively). In the similarity assessment, the tissue mask of the brain obtained by the proposed method showed higher consistency with those obtained using FSL than with those obtained using SPM12. The proposed method misclassified the subcortical structures and large vessels since it is based on the intensities of multi-contrast images obtained using MP2RAGE, which uses a similar segmentation approach as FSL but is not based on a template image or a parcellated brain atlas, which are used for FreeSurfer and SPM12, respectively. However, the proposed method showed good segmentation in the cerebellum and white matter in the medial part of the brain in comparison with the other methods. Thus, because the proposed method using different contrast images of MP2RAGE sequence showed the shortest processing time and similar segmentation ability as the other methods, it may be useful for both neuroimaging research and clinical diagnosis.

Indexed as

AlgorithmsImaging, Three-DimensionalMagnetic Resonance ImagingNeuroimagingAdultBrainBrain MappingFemaleHumansMaleMiddle Aged

Identifiers

PMID30818328
PMCPMC6394968

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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.