Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-05-013 ISMRM Abstract

A Quantitative Comparison of the Bias Field Correction Approaches for B1 Field Inhomogeneity Correction in Pulmonary UTE MRI

Primary: Physics & Engineering - Bioeffects & Magnetic Fields
Secondary: Analysis Methods - Data Processing
560-05-013 · Acquisition Strategies Across Organs and Field Strengths · Wednesday, 13 May, 4:00 PM–4:55 PM · Digital Posters Row A
Keywords: B1 inhomogeneity Bias field correction Standard N4ITK Bodycoil Normalization
Accepted
Sabbir Ahmed1, Jaxson Hoppes, Abhilash Kizhakke Puliyakote2, Riley B Meyer3, Saman Khodaei3, Andrew D Hahn2, Sean Fain 2,3
1Department of Electrical and Computer Engineering, University of Iowa, Iowa City, United States of America
2Department of Radiology, University of Iowa, Iowa City, United States of America
3Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, United States of America
Presenting Author: Sean Fain

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Bauman G, Eichinger M. Ventilation and perfusion magnetic resonance imaging of the lung. Pol J Radiol. 2012;77(1):37-46. doi:10.12659/Pjr.882579 [doi]
2. McKenzie CA, Yeh EN, Ohliger MA, Price MD, Sodickson DK. Self-calibrating parallel imaging with automatic coil sensitivity extraction. Magnetic Resonance in Medicine. Mar 2002;47(3):529-538. doi:10.1002/mrm.10087 [doi]
3. Wild JM, Marshall H, Bock M, et al. MRI of the lung (1/3): methods. Insights Imaging. Aug 2012;3(4):345-353. doi:10.1007/s13244-012-0176-x [doi]
4. Hernando D, Kellman P, Haldar JP, Liang ZP. Robust Water/Fat Separation in the Presence of Large Field Inhomogeneities Using a Graph Cut Algorithm. Magnetic Resonance in Medicine. Jan 2010;63(1):79-90. doi:10.1002/mrm.22177 [doi]
5. Tustison NJ, Qing K, Wang CB, Altes TA, Mugler JP. Atlas-Based Estimation of Lung and Lobar Anatomy in Proton MRI. Magnetic Resonance in Medicine. Jul 2016;76(1):315-320. doi:10.1002/mrm.25824 [doi]
6. Xu Y, Wang YW, Hu SB, Du YY. Deep convolutional neural networks for bias field correction of brain magnetic resonance images. J Supercomput. Nov 2022;78(16):17943-17968. doi:10.1007/s11227-022-04575-4 [doi]
7. Lacroix M, Frouin F, Dirand AS, et al. Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer. Front Oncol. Jan 31 2020;10doi:ARTN 4310.3389/fonc.2020.00043
8. Tustison NJ, Avants BB, Cook PA, et al. N4ITK: Improved N3 Bias Correction. Ieee T Med Imaging. Jun 2010;29(6):1310-1320. doi:10.1109/Tmi.2010.2046908 [doi]
9. Brey WW, Narayana PA. Correction for Intensity Falloff in Surface Coil Magnetic-Resonance Imaging. Med Phys. Mar-Apr 1988;15(2):241-245. doi:Doi 10.1118/1.596255 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-05-013