ArticleNeuroImage2016
A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis.
Article in NeuroImage, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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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.
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.
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Who cites it
56 citing papers in PubMed.
- Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes.Journal of neurology, neurosurgery, and psychiatry · 2021Trial
- NAA is a Marker of Disability in Secondary-Progressive MS: A Proton MR Spectroscopic Imaging Study.AJNR. American journal of neuroradiology · 2020Trial
- Data-Driven Fatigue Trajectories in Multiple Sclerosis and Their Predictors.Neurology(R) neuroimmunology & neuroinflammation · 2026Article
- Mediation Analysis Between Brain Age, Disease-Modifying Factors, and Disability and Cognitive Performance in Multiple Sclerosis.Neurology · 2026Article
- An automated quantitative report for multiple sclerosis using only 3D T2-fluid-attenuated inversion recovery MRI.Neuroradiology · 2026Article
- Diffusivity anisotropy signature of slowly expanding lesions predicts progression independent of relapse activity in multiple sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2026Observational
- Brain Age Estimation on T2-FLAIR Scans for Application to Multiple Sclerosis.Human brain mapping · 2026Article
- Erythrocyte Fragility in Progressive Multiple Sclerosis.European journal of neurology · 2026Article
- Association of Brain Age With Physical Disability and Cognitive Impairment in People With Multiple Sclerosis of the Same Age.Neurology · 2026Article
- Examining the role of systemic inflammation as a mediator of the glycaemia-brain volume associations in women.PloS one · 2026Article
- Investigating the treatment of vascular risk with simvastatin in secondary progressive multiple sclerosis: analysis from the MS-STAT2 randomized controlled trial.Brain communications · 2026Article
- Optical coherence tomography angiography reveals insights into complementary vascular and neurodegenerative mechanisms in multiple sclerosis.Brain communications · 2026Article
- Cognitive outcomes in multiple sclerosis are shaped by divergent functional connectivity trajectories.Brain communications · 2026Article
- Investigating colour vision and its structural correlates 15 years following a first demyelinating event.Journal of neurology, neurosurgery, and psychiatry · 2025Article
- Explaining cognitive function in multiple sclerosis through networks of grey and white matter features: a joint independent component analysis.Journal of neurology · 2025Article
- FastSurfer-LIT: Lesion inpainting tool for whole-brain MRI segmentation with tumors, cavities, and abnormalities.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Deep learning to predict progression independent of relapse activity at a first demyelinating event.Brain communications · 2025Article
- Exploratory analysis of biological age measures in a remyelination clinical trial.Brain communications · 2025Article
- Digital outcome measures are associated with brain atrophy in patients with multiple sclerosis.Journal of neurology · 2024Article
- Improving explanation of motor disability with diffusion-based graph metrics at onset of the first demyelinating event.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Multiple sclerosis lesions influence the process of image analysis, leading to tissue segmentation problems and biased morphometric estimates. Existing techniques try to reduce this bias by filling all lesions as normal-appearing white matter on T1-weighted images, considering each time-point separately. However, due to lesion segmentation errors and the presence of structures adjacent to the lesions, such as the ventricles and deep grey matter nuclei, filling all lesions with white matter-like intensities introduces errors and artefacts. In this paper, we present a novel lesion filling strategy inspired by in-painting techniques used in computer graphics applications for image completion. The proposed technique uses a five-dimensional (5D), patch-based (multi-modality and multi-time-point), Non-Local Means algorithm that fills lesions with the most plausible texture. We demonstrate that this strategy introduces less bias, fewer artefacts and spurious edges than the current, publicly available techniques. The proposed method is modality-agnostic and can be applied to multiple time-points simultaneously. In addition, it preserves anatomical structures and signal-to-noise characteristics even when the lesions are neighbouring grey matter or cerebrospinal fluid, and avoids excess of blurring or rasterisation due to the choice of the segmentation plane, shape of the lesions, and their size and/or location.
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Registered trials
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.