ArticleMagnetic resonance in medicine2018
AutoVOI: real-time automatic prescription of volume-of-interest for single voxel spectroscopy.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Value of MRI Outcomes for Preventive and Early-Stage Trials in Spinocerebellar Ataxias 1 and 3.Annals of clinical and translational neurology · 2026Article
- Neurochemical Endpoints to Inform Early-Stage Trials of Spinocerebellar Ataxia 2 and 3 in a Multisite Setting.Annals of clinical and translational neurology · 2026Article
- A Fast and Precise Method to Search for Desirable Rectangular Tumor Regions in Brain MR Images.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Article
- Article
- Neurochemical Profiles of Prefrontal Cortex and Hypothalamus at 3 and 7 T During Controlled Euglycemia: Evaluation in a Cohort With Type 1 Diabetes.NMR in biomedicine · 2025Article
- Anterior insular cortex glutamate-glutamine (Glx) levels predict general psychopathology via heightened error sensitivity.Frontiers in neuroscience · 2025Article
- Sensitivity of Advanced Magnetic Resonance Imaging to Progression over Six Months in Early Spinocerebellar Ataxia.Movement disorders : official journal of the Movement Disorder Society · 2024Article
- Understanding Proton Magnetic Resonance Spectroscopy Neurochemical Changes Using Alzheimer's Disease Biofluid, PET, Postmortem Pathology Biomarkers, and APOE Genotype.International journal of molecular sciences · 2024Review
- Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy.Magma (New York, N.Y.) · 2024Article
- MR Imaging in Ataxias: Consensus Recommendations by the Ataxia Global Initiative Working Group on MRI Biomarkers.Cerebellum (London, England) · 2024Review
- Test-Retest Reproducibility of Reduced-Field-of-View Density-Weighted CRT MRSI at 3T.Tomography (Ann Arbor, Mich.) · 2024Article
- Atlas-Based Adaptive Hadamard-Encoded MR Spectroscopic Imaging at 3T.Tomography (Ann Arbor, Mich.) · 2023Article
- Real-Time Semi-Automated and Automated Voxel Placement using fMRI Targets for Repeated Acquisition Magnetic Resonance Spectroscopy.Journal of neuroscience methods · 2023Article
- A comprehensive guide to MEGA-PRESS for GABA measurement.Analytical biochemistry · 2023Review
- Automated Placement of Scan and Pre-Scan Volumes for Breast MRI Using a Convolutional Neural Network.Tomography (Ann Arbor, Mich.) · 2023Article
- Clinically Meaningful Magnetic Resonance Endpoints Sensitive to Preataxic Spinocerebellar Ataxia Types 1 and 3.Annals of neurology · 2023Article
- Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-Stack Attention Neural Network.Bioengineering (Basel, Switzerland) · 2023Article
- Identification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learning.Magma (New York, N.Y.) · 2022Article
- Plug-and-play advanced magnetic resonance spectroscopy.Magnetic resonance in medicine · 2022Article
- Article
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Authors and funding
12 authors.
Funding
Abstract
purposeTo develop a fast and automated volume-of-interest (VOI) prescription pipeline (AutoVOI) for single-voxel MRS that removes the need for manual VOI placement, allows flexible VOI planning in any brain region, and enables high inter- and intra-subject consistency of VOI prescription.
methodsAutoVOI was designed to transfer pre-defined VOIs from an atlas to the 3D anatomical data of the subject during the scan. The AutoVOI pipeline was optimized for consistency in VOI placement (precision), enhanced coverage of the targeted tissue (accuracy), and fast computation speed. The tool was evaluated against manual VOI placement using existing T
resultsThe AutoVOI pipeline includes skull stripping, non-linear registration of the atlas to the subject's brain, and computation of the VOI coordinates and angulations using a minimum oriented bounding box algorithm. When compared against manual prescription, AutoVOI showed higher intra- and inter-subject spatial consistency, as quantified by generalized Dice coefficients (GDC), lower intra- and inter-subject variability in tissue composition (gray matter, white matter, and cerebrospinal fluid) and higher or equal accuracy, as quantified by GDC of prescribed VOI with targeted tissues. High quality spectra were obtained on Siemens and Philips 3T systems from 6 automatically prescribed VOIs by the tool.
conclusionRobust automatic VOI prescription is feasible and can help facilitate clinical adoption of MRS by avoiding operator dependence of manual selection.
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