Design Optimization Method of Permanent Magnet for Open MRI Using Dot Sensitivity Analysis

Permanent magnets (PMs) are widely utilized in various industries thanks to their significant potential. In open Magnetic Resonance Imaging (MRI) systems, research is actively being conducted to reduce weight and cost through the efficient use of magnets. However, existing numerical optimization techniques often require high computational costs due to their reliance on iterative Finite Element Analyses (FEA). This paper proposes a permanent magnet optimization method utilizing magnet dot sensitivity to overcome this limitation. The dot sensitivity provides information on how the magnet topology should be formed for system optimization. By integrating this sensitivity information with a genetic algorithm (GA), we established an optimization method with a low computational cost. The proposed method was validated by designing an H-shaped magnet for an open MRI system.

Institutions

Publication Details

Journal
IEEE Transactions on Applied Superconductivity
Published
2025-10-08
DOI
https://doi.org/10.1109/tasc.2025.3619451
Primary Topic
Infections and bacterial resistance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design Optimization Method of Permanent Magnet for Open MRI Using Dot Sensitivity Analysis

IEEE Transactions on Applied Superconductivity
Infections and bacterial resistance
article

Design Optimization Method of Permanent Magnet for Open MRI Using Dot Sensitivity Analysis

article en

Abstract

Permanent magnets (PMs) are widely utilized in various industries thanks to their significant potential. In open Magnetic Resonance Imaging (MRI) systems, research is actively being conducted to reduce weight and cost through the efficient use of magnets. However, existing numerical optimization techniques often require high computational costs due to their reliance on iterative Finite Element Analyses (FEA). This paper proposes a permanent magnet optimization method utilizing magnet dot sensitivity to overcome this limitation. The dot sensitivity provides information on how the magnet topology should be formed for system optimization. By integrating this sensitivity information with a genetic algorithm (GA), we established an optimization method with a low computational cost. The proposed method was validated by designing an H-shaped magnet for an open MRI system.

IEEE Transactions on Applied SuperconductivityVol. 36(3)
Sungkyunkwan University (KR)
Openalex Percentile: Top 33%
Infections and bacterial resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.