Evaluation of multimodal segmentation based on 3D T1-, T2- and FLAIR-weighted images – the difficulty of choosing

Lindig, Tobias; Kotikalapudi, Raviteja; Schweikardt, Daniel; Martin, Pascal; Bender, Friedemann; Klose, Uwe; Ernemann, Ulrike; Focke, Niels K.; Bender, Benjamín

doi:10.1016/j.neuroimage.2017.02.016

Cited by 34 publications

(36 citation statements)

References 19 publications

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“…Therefore, a smoothing of 12 mm could have also been considered, but at a higher statistical cutoff of 4.2 to yield comparable results. As a further validation step for the obtained parameters, we found the expected VBM sensitivity for patients with visible lesions within 60–100%, which is in line with previous studies based on lesional cohorts (Lindig et al, ; Martin et al, ). Furthermore, our results can provide guidance for maximizing the performance (concordant rate or specificity) of VBM models at a range of smoothing levels and statistical cutoffs.…”

Section: Discussionsupporting

confidence: 90%

“…One important reason is the misclassification of dura and vessel sinuses as gray matter. The overestimation is mainly due to the close proximity and similarity in signal intensity of these structures to the cortex (Lindig et al, ; Viviani, Pracht, et al, ). The addition of FLAIR did resolve this misclassification for both the T1 and MP2.…”

Section: Discussionmentioning

confidence: 99%

“…Smooth normalize modulated GM, WM, and CSF images of healthy controls were used to perform group comparisons across different segmentation models. T1 + FLAIR segmentation was used as a reference, since this had the best overall segmentation quality in our previous work (Lindig et al, ). Each multispectral combination was then compared against T1 + FLAIR using a paired t ‐test in SPM, at 4 mm smoothing and a statistical threshold of p < .05 FWE (family wise error).…”

Section: Methodsmentioning

confidence: 99%

“…Improved tissue segmentation can be achieved through combining multispectral MRI contrasts in the segmentation process (Alfano et al, ; Ashburner & Friston, ; Ashburner & Friston, ; Fletcher, Barsotti, & Hornak, ; Lambert, Lutti, Helms, Frackowiak, & Ashburner, ; Vannier et al, ). Recent studies have confirmed superiority of multispectral over conventional T1‐only segmentation by addressing issues such as overestimation of dura and vessels as GM and also improve cortical GM segmentation (Lindig et al, ; Viviani, Pracht, et al, ; Viviani, Stocker, et al, ). With the addition of T2/T2‐FLAIR weighted, VBM variants (T1 + FLAIR, T1 + T2) have also shown improved lesion detection over T1‐only VBM, in both lesional and non lesional MRI focal epilepsy (Kotikalapudi et al, ; Lindig et al, ).…”

Section: Introductionmentioning

confidence: 94%

“…Recent studies have confirmed superiority of multispectral over conventional T1-only segmentation by addressing issues such as overestimation of dura and vessels as GM and also improve cortical GM segmentation Viviani, Pracht, et al, 2017;. With the addition of T2/T2-FLAIR weighted, VBM variants (T1 + FLAIR, T1 + T2) have also shown improved lesion detection over T1-only VBM, in both lesional and non lesional MRI focal epilepsy Lindig et al, 2018).…”

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confidence: 95%

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MP2RAGE multispectral voxel‐based morphometry in focal epilepsy

Kotikalapudi

Martin

Erb³

et al. 2019

Human Brain Mapping

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We assessed the applicability of MP2RAGE for voxel‐based morphometry. To this end, we analyzed its brain tissue segmentation characteristics in healthy subjects and the potential for detecting focal epileptogenic lesions (previously visible and nonvisible). Automated results and expert visual interpretations were compared with conventional VBM variants (i.e., T1 and T1 + FLAIR). Thirty‐one healthy controls and 21 patients with focal epilepsy were recruited. 3D T1‐, T2‐FLAIR, and MP2RAGE images (consisting of INV1, INV2, and MP2 maps) were acquired on a 3T MRI. The effects of brain tissue segmentation and lesion detection rates were analyzed among single‐ and multispectral VBM variants. MP2‐single‐contrast gave better delineation of deep, subcortical nuclei but was prone to misclassification of dura/vessels as gray matter, even more than conventional‐T1. The addition of multispectral combinations (INV1, INV2, or FLAIR) could markedly reduce such misclassifications. MP2 + INV1 yielded generally clearer gray matter segmentation allowing better differentiation of white matter and neighboring gyri. Different models detected known lesions with a sensitivity between 60 and 100%. In non lesional cases, MP2 + INV1 was found to be best with a concordant rate of 37.5%, specificity of 51.6% and concordant to discordant ratio of 0.60. In summary, we show that multispectral MP2RAGE VBM (e.g., MP2 + INV1, MP2 + INV2) can improve brain tissue segmentation and lesion detection in epilepsy.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

mentioning

confidence: 95%

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MP2RAGE multispectral voxel‐based morphometry in focal epilepsy

Kotikalapudi

Martin

Erb³

et al. 2019

Human Brain Mapping

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The cortical regions and white matter tracts underlying auditory comprehension in patients with primary brain tumor

Zhang

Yao

et al. 2022

Human Brain Mapping

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The comprehension of spoken language is one of the most essential language functions in humans. However, the neurological underpinnings of auditory comprehension remain under debate. Here we used multi‐modal neuroimaging analyses on a group of patients with low‐grade gliomas to localize cortical regions and white matter tracts responsible for auditory language comprehension. Region‐of‐interests and voxel‐level whole‐brain analyses showed that cortical areas in the posterior temporal lobe are crucial for language comprehension. The fiber integrity assessed with diffusion tensor imaging of the arcuate fasciculus and the inferior longitudinal fasciculus was strongly correlated with both auditory comprehension and the grey matter volume of the inferior temporal and middle temporal gyri. Together, our findings provide direct evidence for an integrated network of auditory comprehension whereby the superior temporal gyrus and sulcus, the posterior parts of the middle and inferior temporal gyri serve as auditory comprehension cortex, and the arcuate fasciculus and the inferior longitudinal fasciculus subserve as crucial structural connectivity. These findings provide critical evidence on the neural underpinnings of language comprehension.

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A hybrid framework for brain tissue segmentation in magnetic resonance images

Sun

Liu

et al. 2021

Int J Imaging Syst Tech

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Having a robust image segmentation strategy is very important in magnetic resonance image (MRI) processing for an effective and early disease detection and diagnosis. Since MRI can present tissues of interest in both morphological and functional images, various segmentation techniques have been employed for this. The algorithms based on Markov random field (MRF) have shown strong abilities in dealing with noisy image segmentation compared to other methods. In this article, inspired by the random drift particle swarm optimization (RDPSO) algorithm, we propose a novel hybrid framework based on a combination of the RDPSO with the hidden MRF model and the expectation–maximization algorithm (HMRF‐EM), to be used for MRI segmentation in real‐time environments. The proposed hybrid framework is compared with the standalone HMRF‐EM method, two other MRF‐based stochastic relaxation algorithms, and two widely used brain tissue segmentation toolboxes on both simulated and real MRI datasets. The experimental results prove that the proposed hybrid framework can obtain better segmentation results than most of its competitors and has faster convergence speed than the compared stochastic optimization algorithms.

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Evaluation of multimodal segmentation based on 3D T1-, T2- and FLAIR-weighted images – the difficulty of choosing

Cited by 34 publications

References 19 publications

MP2RAGE multispectral voxel‐based morphometry in focal epilepsy

MP2RAGE multispectral voxel‐based morphometry in focal epilepsy

The cortical regions and white matter tracts underlying auditory comprehension in patients with primary brain tumor

A hybrid framework for brain tissue segmentation in magnetic resonance images

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