{"id":12670,"date":"2026-05-05T16:09:39","date_gmt":"2026-05-05T14:09:39","guid":{"rendered":"https:\/\/www.healtis.com\/?p=12670"},"modified":"2026-05-05T16:15:31","modified_gmt":"2026-05-05T14:15:31","slug":"numerical-modelling-reliability-experience-and-dedicated-tools","status":"publish","type":"post","link":"https:\/\/www.healtis.com\/en\/numerical-modelling-reliability-experience-and-dedicated-tools\/","title":{"rendered":"Numerical modeling: reliability, experience and dedicated tools"},"content":{"rendered":"\r\n\r\n\r\n

(article updated on May, 5th 2026)<\/em><\/p>\r\n

What is the role of numerical simulation for medical device heating in MRI environments?<\/h1>\r\n

Introduction<\/h2>\r\n

In an MRI environment, radiofrequency (RF) electromagnetic fields can induce significant heating of implanted medical devices, posing a risk to patients.<\/p>\r\n

This heating is often localized, dependent on numerous parameters (type of implant, configuration, positioning, patient anatomy, MRI sequence, etc.), and highly variable from one situation to another. Consequently, it is generally impossible to reliably identify a “worst-case” configuration through simple theoretical reasoning or experimental testing alone.<\/p>\r\n

In this context, numerical simulations serve as a key tool for understanding, anticipating, and controlling these complex phenomena.<\/p>\r\n

Evaluation of RF heating on passive implantable medical devices: a multi-step approach<\/h2>\r\n

Generally, the evaluation of RF-induced heating in MRI relies on three main complementary steps:<\/p>\r\n

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  1. 1.Numerical simulations: identifying the worst-case<\/strong>
    An initial numerical modeling study makes it possible to identify the most unfavorable device configuration, taking into account, where relevant, the surrounding tissues and realistic implantation scenarios.

    <\/li>\r\n
  2. 2.RF Heating testing according to the ASTM F2182 standard<\/strong>
    The device identified as the worst-case is then subjected to ASTM testing (specifically ASTM F2182) in a phantom filled with conductive gel. These tests measure the temperature rise under reproducible and standardized conditions.

    <\/li>\r\n
  3. 3.Complementary study: “in-vivo scaling” under realistic clinical conditions<\/strong>
    When necessary, an additional numerical study is conducted to transpose the results obtained in the ASTM phantom to an estimate of heating within the human body under realistic clinical conditions (in vivo)<\/em>.<\/li>\r\n<\/ol>\r\n

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    Worst-case identification<\/h2>\r\n

    At Healtis, we provide a team of experts and advanced numerical modeling tools<\/a> specifically dedicated to evaluating RF-induced heating in MRI. For passive implantable medical devices, numerical modeling notably allows for:<\/p>\r\n