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1. Thus, without requiring advanced MR safety expertise on the part of the user, a simple green, yellow, red display for each energy used in the MR environment helps the user instantly identify and even quantify relative risks of proceeding with a requested MR imaging study on a given patient, implant, MR scanner hardware, and MRI examination being modeled.

2. At the touch of a button the app also produces a detailed, time/date stamped color coded report containing text, graphs, and 3D graphics, documenting the relative field exposure risks of performing the anticipated MR study in the MR scanner being modeled, providing precise feedback and even quantification of exposure levels to the various energies/fields used in the MR imaging process.

3. If the fields/energies to which the implant will be exposed in the MR imaging process would approach or exceed published/defined maximum safety thresholds for that implant as the patient is advanced into the scanner, the trail and implant would turn yellow and then red, respectively.

4. The primary expertise required of the user is to know their patient (gender, height, weight), their implant and its labeling, the MR scanner hardware to be used, and the positioning to be used on that patient’s requested MR study.

5. Users of the app will have taken their first steps towards changing the MR imaging industry by (for most users, perhaps for the very first time) formalizing and standardizing how MR safety risks are assessed, evaluated, and even quantified for patients with implants, devices, and foreign bodies who have been asked to undergo MR imaging examinations.

6. The detailed report generated by the app can then be electronically or hard-copy transmitted to the physician overseeing the MR imaging examination, who can then assess the relative potential risks of such MR exposure while weighing them against the potential benefits of proceeding with the requested MR imaging examination.

7. 3D implants can be selected/created and labeled with FDA or user defined MR conditions of safety to reflect specific IDFB that may be on/in the patient being modeled.

8. The app then calculates and displays color tracks of the implant as the patient is advanced to the center of the scanner for imaging.

9. Using spatial field/energy data provided by the manufacturers of the modeled MR scanner hardware, the app functions as a 3D graphic simulator, using colors to visualize the distributions and relative spatial strengths of the invisible energies/magnetic fields present in MRI environments.

10. Photorealistic avatars are customized in real time from user provided gender, height, and weight data to approximate the body habitus of the patient being modeled.

11. If the exposure levels to each of these energies/fields is well below published/defined safety thresholds, the implant and trail would be displayed as green.