Journal Article DKFZ-2025-02647

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Ultimate Intrinsic SNR in the Torso of Realistic Body Models.

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2025
Wiley-Liss New York, NY [u.a.]

Magnetic resonance in medicine nn, nn () [10.1002/mrm.70202]
 GO

Abstract: This work aims to investigate how the ultimate intrinsic signal-to-noise ratio (uiSNR) varies with increasing static magnetic field B 0 $$ {B}_0 $$ in the torso of realistic body models.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 B 0 $$ {B}_0 $$ ranges.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 B 0 $$ {B}_0 $$ with small variation throughout the torso (Ella: uiSNR ∝ B0 0.96±0.07, Duke: uiSNR ∝ B0 0.98±0.10). In an upper magnetic field range (from 5 to 14 T), the uiSNR increases superlinearly in the torso (Ella: uiSNR ∝ B0 1.86±0.25, Duke: uiSNR ∝ B0 1.99±0.28), with a larger variation correlated to the heterogeneous structure of the body model.The superlinear scaling exponent in the upper magnetic field range indicates the promise of applying UHF MRI for body imaging.

Keyword(s): MRI ; in silico ; torso ; uiSNR

Classification:

Note: #EA:E020#LA:E020# / epub

Contributing Institute(s):
  1. E020 Med. Physik in der Radiologie (E020)
Research Program(s):
  1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2025
Database coverage:
Medline ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DEAL Wiley ; Essential Science Indicators ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2025-11-28, last modified 2025-11-29



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