Work

Ultimate Intrinsic SNR in the Torso of Realistic Body Models

Year: 2025

Type: article

Abstract: ABSTRACT Purpose This work aims to investigate how the ultimate intrinsic signal‐to‐noise ratio (uiSNR) varies with increasing static magnetic field in the torso of realistic body models. Methods A dipole cloud was positioned around the realistic body model and randomly excited. The volume integral solver MARIE was used to calculate the corresponding electromagnetic fields. The uiSNR maps were calculated using these electromagnetic bases and were fitted with the power law for different ranges. Results The uiSNR could be reliably calculated in regions deeper than 3 cm, where convergence of uiSNR over the number of basis vectors was achieved. In a lower magnetic field range (from 0.55 to 3 T), the uiSNR increases roughly linearly versus with small variation throughout the torso (Ella: uiSNR ∝ B 0 0.96±0.07 , Duke: uiSNR ∝ B 0 0.98±0.10 ). In an upper magnetic field range (from 5 to 14 T), the uiSNR increases superlinearly in the torso (Ella: uiSNR ∝ B 0 1.86±0.25 , Duke: uiSNR ∝ B 0 1.99±0.28 ), with a larger variation correlated to the heterogeneous structure of the body model. Conclusion The superlinear scaling exponent in the upper magnetic field range indicates the promise of applying UHF MRI for body imaging.

Source: Magnetic Resonance in Medicine

DOI: 10.1002/mrm.70202

Authors: Yuting Wang, Markus W. May, Marcel Gratz, Mark E. Ladd, Stephan Orzada

Institutions: German Cancer Research Center, Heidelberg University, Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen University Hospital, University of Duisburg-Essen

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,680