Cargando…

AI-driven and automated MRI sequence optimization in scanner-independent MRI sequences formulated by a domain-specific language

INTRODUCTION: The complexity of Magnetic Resonance Imaging (MRI) sequences requires expert knowledge about the underlying contrast mechanisms to select from the wide range of available applications and protocols. Automation of this process using machine learning (ML) can support the radiologists and...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hoinkiss, Daniel Christopher, Huber, Jörn, Plump, Christina, Lüth, Christoph, Drechsler, Rolf, Günther, Matthias
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Neuroimaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406289/ https://www.ncbi.nlm.nih.gov/pubmed/37554629 http://dx.doi.org/10.3389/fnimg.2023.1090054

Ejemplares similares

Utility of Double Inversion Recovery Sequences in MRI
por: Ryan, Maura E.
Publicado: (2016)

Automated seizure onset zone locator from resting-state functional MRI in drug-resistant epilepsy
por: Banerjee, Ayan, et al.
Publicado: (2023)

Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment
por: Canalini, Luca, et al.
Publicado: (2022)

Wilson's disease: MRI features
por: Singh, Paramdeep, et al.
Publicado: (2011)

Key considerations for child and adolescent MRI data collection
por: Davis, Brittany R., et al.
Publicado: (2022)

Resting-state functional MRI in treatment-resistant schizophrenia
por: Tuovinen, Noora, et al.
Publicado: (2023)

Rapid Brain MRI Use in a Pediatric Emergency Department
por: Khaira, Gurpreet, et al.
Publicado: (2020)

Efficient evaluation of the Open QC task fMRI dataset
por: Etzel, Joset A.
Publicado: (2023)

Quality control procedures and metrics for resting-state functional MRI
por: Birn, Rasmus M.
Publicado: (2023)

Quality control in functional MRI studies with MRIQC and fMRIPrep
por: Provins, Céline, et al.
Publicado: (2023)

Regression models for partially localized fMRI connectivity analyses
por: Smith, Bonnie B., et al.
Publicado: (2023)

Braak neurofibrillary tangle staging prediction from in vivo MRI metrics
por: Dallaire-Théroux, Caroline, et al.
Publicado: (2019)

Cumulant expansion with localization: A new representation of the diffusion MRI signal
por: Afzali, Maryam, et al.
Publicado: (2022)

Multiparametric 3T MRI evaluation of hereditary spastic paraplegia: A case report
por: Priya, Sonam, et al.
Publicado: (2016)

Correlation between MRI characteristics of medulloblastoma with histopathological subtypes and 2-year survival
por: Hussain, Intan Zariza, et al.
Publicado: (2020)

Investigating the contribution of cytoarchitecture to diffusion MRI measures in gray matter using histology
por: Baxi, Madhura, et al.
Publicado: (2022)

DSC MRI in the human brain using deoxyhemoglobin and gadolinium—Simulations and validations at 3T
por: Schulman, Jacob Benjamin, et al.
Publicado: (2023)

Improving across-dataset brain tissue segmentation for MRI imaging using transformer
por: Rao, Vishwanatha M., et al.
Publicado: (2022)

Wall enhancement ratio and partial wall enhancement on MRI associated with the rupture of intracranial aneurysms
por: Wang, Guang-xian, et al.
Publicado: (2018)

Reproducing FSL's fMRI data analysis via Nipype: Relevance, challenges, and solutions
por: Chen, Yibei, et al.
Publicado: (2022)

Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications
por: Pais-Roldán, Patricia, et al.
Publicado: (2022)

Alzheimer's disease: 3-Dimensional MRI texture for prediction of conversion from mild cognitive impairment
por: Luk, Collin C., et al.
Publicado: (2018)

Evaluation and comparison of most prevalent artifact reduction methods for EEG acquired simultaneously with fMRI
por: Kraljič, Aleksij, et al.
Publicado: (2022)

Accelerated MRI using intelligent protocolling and subject-specific denoising applied to Alzheimer's disease imaging
por: Ravi, Keerthi Sravan, et al.
Publicado: (2023)

Locus coeruleus MRI contrast is reduced in Alzheimer's disease dementia and correlates with CSF Aβ levels
por: Betts, Matthew J., et al.
Publicado: (2019)

Reduced future-oriented decision making in individuals with subjective cognitive decline: A functional MRI study
por: Hu, Xiaochen, et al.
Publicado: (2017)

Transfer learning‐trained convolutional neural networks identify novel MRI biomarkers of Alzheimer's disease progression
por: Li, Yi, et al.
Publicado: (2021)

Extracting default mode network based on graph neural network for resting state fMRI study
por: Wang, Donglin, et al.
Publicado: (2022)

Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI
por: Moya-Sáez, Elisa, et al.
Publicado: (2023)

Hemodynamic MRI parameters to predict asymptomatic unilateral carotid artery stenosis with random forest machine learning
por: Gleißner, Carina, et al.
Publicado: (2023)

Neonatal hypoxic encephalopathy: Correlation between post-cooling brain MRI findings and 2 years neurodevelopmental outcome
por: Rusli, Emilia Rosniza Mohammed, et al.
Publicado: (2019)

A functional MRI pre-processing and quality control protocol based on statistical parametric mapping (SPM) and MATLAB
por: Di, Xin, et al.
Publicado: (2023)

Review: The use of functional magnetic resonance imaging (fMRI) in clinical trials and experimental research studies for depression
por: Kotoula, Vasileia, et al.
Publicado: (2023)

An Anisotropic 4D Filtering Approach to Recover Brain Activation From Paradigm-Free Functional MRI Data
por: Costantini, Isa, et al.
Publicado: (2022)

Diffusion in the corpus callosum predicts persistence of clinical symptoms after mild traumatic brain injury, a multi-scanner study
por: Asturias, Alexander, et al.
Publicado: (2023)

Test-Retest Reliability of fMRI During an Emotion Processing Task: Investigating the Impact of Analytical Approaches on ICC Values
por: Heilicher, Mickela, et al.
Publicado: (2022)

Optimizing cognitive neuroscience experiments for separating event- related fMRI BOLD responses in non-randomized alternating designs
por: Das, Soukhin, et al.
Publicado: (2023)

The comorbidity and cognition in multiple sclerosis (CCOMS) neuroimaging protocol: Study rationale, MRI acquisition, and minimal image processing pipelines
por: Uddin, Md Nasir, et al.
Publicado: (2022)

autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data
por: Purg, Nina, et al.
Publicado: (2022)

Case report: Utilizing diffusion-weighted MRI on a patient with chronic low back pain treated with spinal cord stimulation
por: Ailes, Isaiah, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_pbcvfs0i814m9ld47p6gujn4uj