ArticleMagnetic resonance in medicine2016
Automated patient-specific optimization of three-dimensional double-inversion recovery magnetic resonance imaging.
Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Platform for Automated Real-Time High Performance Analytics on Medical Image Data.IEEE journal of biomedical and health informatics · 2018Article
- GRAPE: a graphical pipeline environment for image analysis in adaptive magnetic resonance imaging.International journal of computer assisted radiology and surgery · 2017Article
- Synthetic MRI in the Detection of Multiple Sclerosis Plaques.AJNR. American journal of neuroradiology · 2017Article
- Optimal combination of FLAIR and T2-weighted MRI for improved lesion contrast in multiple sclerosis.Journal of magnetic resonance imaging : JMRI · 2016Article
- Juxtacortical Lesions in Multiple Sclerosis: Assessment of Gray Matter Involvement Using Phase Difference-enhanced Imaging (PADRE).Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2016Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo automatically optimize three-dimensional double-inversion recovery (3D-DIR) MRI of the brain on a patient-by-patient basis.
methodsDIR is a powerful MRI technique that allows simultaneous suppression of white matter (WM) and cerebrospinal fluid (CSF) in brain imaging. Unfortunately, the tissue suppression is not always consistent across patients. We propose patient-specific optimization of WM suppression for improved gray matter (GM)-WM contrast. Relaxation times were measured in the same scan session, and through real time processing were used for calculating DIR inversion times for maximum tissue contrast. Signal evolution during the variable-flip-angle turbo-spin-echo readout was calculated using the extended phase graph algorithm. Patient-specific optimization was examined in five healthy volunteers and two multiple sclerosis patients. Two volunteers were scanned twice for reproducibility. The contrast ratios, GM signal-to-noise ratio (SNR), and image histogram were used to assess the performance of this patient-specific approach.
resultsAutomated optimization of 3D-DIR was successfully completed in all experiments with processing time of ∼1 min. GM-WM contrast ratio tripled with the optimized DIR sequence, with only a 19% decrease in GM-CSF contrast and 30% SNR penalty.
conclusionPatient-specific optimization is feasible and significantly improves GM-WM contrast on 3D-DIR with a moderate decrease in the GM SNR.
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Registered trials
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