ArticleMagnetic resonance in medicine2026
Field-Based Spatial Self-Registration of Multicoil Hardware for B
Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Field-Based Spatial Self-Registration of Multicoil Hardware for BMagnetic resonance in medicine · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
purposeTo develop and validate a magnetic field-based method for self-registration of multicoil (MC) shim hardware in MRI systems, enabling accurate B
methodsAn algorithm was designed to estimate rigid transformations between 3D field maps acquired during hardware calibration (Reference field) and subsequent experiments (Measured field). Hardware misplacement was determined by co-registration of the two fields within a defined region of interest. Simulations using Biot-Savart-derived MC basis fields and experimental validation with a 48-channel MC array at 3 T were used to quantify localization accuracy under varying signal-to-noise ratio (SNR) levels. A genetic algorithm optimized coil currents to generate a Reference field shape that yielded minimal self-registration error.
resultsSimulations and measurements demonstrated that submillimeter (≤ 0.5 mm) and subdegree (≤ 0.5°) localization accuracy is achievable at practical SNR levels (≥ 5). Errors decreased with increasing SNR and field complexity. The optimized field produced by the genetic algorithm yielded the lowest mean translation error (0.20 mm) and rotation error (0.11°), consistent with theoretical predictions. Self-registration computation required less than 10 s per case.
conclusionThe proposed field-based self-registration method enables rapid, accurate localization of MC shim hardware using only MR-acquired field maps, eliminating the need for external tracking hardware or repeated calibrations. This approach enhances reproducibility of MC field control and supports improved B
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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.