ArticleMagnetic resonance in medicine2021
Phase unwrapping with a rapid opensource minimum spanning tree algorithm (ROMEO).
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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70 citing papers in PubMed.
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- Focused ultrasound blood-brain barrier opening reveals a paradoxical remote metabolic response in the primate brain.Science advances · 2026Article
- Correcting motion-related BScientific reports · 2026Article
- Low-intensity rim on T2-weighted brainstem imaging: a universally observed structure exhibiting a negative magnetic susceptibility effect.Japanese journal of radiology · 2026Article
- Reducing Noise Induced by Cardiac Pulsatility in Brain Maps of RNMR in biomedicine · 2026Article
- In-vivo iron mapping in patients with Parkinson's disease using deep learning-based susceptibility source separation MRI.NPJ Parkinson's disease · 2026Article
- Quantitative Susceptibility Mapping in Skull Base Chordoma: In Silico Analysis and In Vivo Application Towards Indirect Hypoxia Assessment.Magnetic resonance in medicine · 2026Article
- Application of a two-dimensional phase unwrapping algorithm to lubricant film thickness measurement.Scientific reports · 2026Article
- Quantitative susceptibility mapping reveals differences between subtypes of Lewy body dementia.Brain : a journal of neurology · 2026Article
- Repeatability of Susceptibility Source Separation Methods in Human Brain: A Single-Site Study at 3 T.NMR in biomedicine · 2026Article
- Optimization of pseudo-continuous arterial spin labeling for brain perfusion imaging in the intraoperative setting.Magnetic resonance in medicine · 2026Article
- ISME-incoherent sampling of multi-echo data to minimize cardiac-induced noise in brain maps ofMagnetic resonance in medicine · 2026Article
10 more citing papers are in PubMed but not listed here.
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7 authors.
Funding
Abstract
purposeTo develop a rapid and accurate MRI phase-unwrapping technique for challenging phase topographies encountered at high magnetic fields, around metal implants, or postoperative cavities, which is sufficiently fast to be applied to large-group studies including Quantitative Susceptibility Mapping and functional MRI (with phase-based distortion correction).
methodsThe proposed path-following phase-unwrapping algorithm, ROMEO, estimates the coherence of the signal both in space-using MRI magnitude and phase information-and over time, assuming approximately linear temporal phase evolution. This information is combined to form a quality map that guides the unwrapping along a 3D path through the object using a computationally efficient minimum spanning tree algorithm. ROMEO was tested against the two most commonly used exact phase-unwrapping methods, PRELUDE and BEST PATH, in simulated topographies and at several field strengths: in 3T and 7T in vivo human head images and 9.4T ex vivo rat head images.
resultsROMEO was more reliable than PRELUDE and BEST PATH, yielding unwrapping results with excellent temporal stability for multi-echo or multi-time-point data. It does not require image masking and delivers results within seconds, even in large, highly wrapped multi-echo data sets (eg, 9 seconds for a 7T head data set with 31 echoes and a 208 × 208 × 96 matrix size).
conclusionOverall, ROMEO was both faster and more accurate than PRELUDE and BEST PATH, delivering exact results within seconds, which is well below typical image acquisition times, enabling potential on-console application.
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