An Automated Validation System for Active Implantable Medical Device (AIMD) Model under MR RF Field Exposure

Motivation: Current AIMD model validation method is expensive, time-consuming, and subject to human operational error. An automated robotic system for testing would streamline validation testing. Goal(s): To develop a novel automated AIMD model validation system that is cost-effective and accurate. Approach: A novel system is developed by integrating the a robotic arm, a box-shaped phantom, a signal generator and power amplifier, and a fiber optic temperature measurement apparatus to streamline the validation. Results: An automated validation system for both 1.5T and 3T is constructed with minimum human error. Impact: A cost-effective and yet more accurate AIMD model validation system/method is developed following ISO 10974 standard. Compared to the traditional birdcage coil validation method, this system requires less labor, lower cost, and has lower systematic error.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4978
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Automated Validation System for Active Implantable Medical Device (AIMD) Model under MR RF Field Exposure

Hongbae Jeong, Farshad Ebrahimi, Qingyan Wang, Ao Shen et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

An Automated Validation System for Active Implantable Medical Device (AIMD) Model under MR RF Field Exposure

Hongbae Jeong, Farshad Ebrahimi, Qingyan Wang, Ao Shen, Ananda Kumar, Ziyu Zuo, Ji Chen
article en

Abstract

Motivation: Current AIMD model validation method is expensive, time-consuming, and subject to human operational error. An automated robotic system for testing would streamline validation testing. Goal(s): To develop a novel automated AIMD model validation system that is cost-effective and accurate. Approach: A novel system is developed by integrating the a robotic arm, a box-shaped phantom, a signal generator and power amplifier, and a fiber optic temperature measurement apparatus to streamline the validation. Results: An automated validation system for both 1.5T and 3T is constructed with minimum human error. Impact: A cost-effective and yet more accurate AIMD model validation system/method is developed following ISO 10974 standard. Compared to the traditional birdcage coil validation method, this system requires less labor, lower cost, and has lower systematic error.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Advanced MRI Techniques and Applications
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.

An Automated Validation System for Active Implantable Medical Device (AIMD) Model under MR RF Field Exposure — Hongbae Jeong, Farshad Ebrahimi, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS