Unknown

Dataset Information

Individualized SAR calculations using computer vision-based MR segmentation and a fast electromagnetic solver.


ABSTRACT:

Purpose

We propose a fast, patient-specific workflow for on-line specific absorption rate (SAR) supervision. An individualized electromagnetic model is created while the subject is on the table, followed by rapid SAR estimates for that individual. Our goal is an improved correspondence between the patient and model, reducing reliance on general anatomical body models.

Methods

A 3D fat-water 3T acquisition (~2 minutes) is automatically segmented using a computer vision algorithm (~1 minute) into what we found to be the most important electromagnetic tissue classes: air, bone, fat, and soft tissues. We then compute the individual's EM field exposure and global and local SAR matrices using a fast electromagnetic integral equation solver. We assess the approach in 10 volunteers

SUBMITTER: Milshteyn E 

PROVIDER: S-EPMC7722143 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature