663-01-012 ISMRM Abstract

A comparison on ADC uniformity between 3 techniques to compensate for signal loss due to cardiac pulsation in liver DWI

Primary: Body - Liver

Secondary: Diffusion - Diffusion Acquisition

663-01-012 · Diffusion MRI, Iron Quantification, and Steatosis in Human and Preclinical Studies · Thursday, 14 May, 8:30 AM–9:25 AM · Digital Posters Row D

Keywords: Liver Diffusion-weighted MRI Quantitative technology Physiological motion compensation

Accepted

Johannes M Peeters ^1,2, Masami Yoneyama³, Dimitrios Karampinos^4,5, Sean McTavish⁵, Johannes Raspe⁶, Anh T Van⁵, Kilian Weiss⁷, Clemens Bos¹, Jip F Prince¹

¹Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

²MR Clinical Science, Philips Healthcare, Best, Netherlands

³Philips Japan, Tokyo, Japan

⁴Laboratory of Magnetic Resonance Imaging Systems and Methods, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

⁵Institute for Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany

⁶Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM University Hospital, Technical University of Munich (TUM), Munich, Germany

⁷Philips GmbH Innovative Technologies, Hamburg, Germany

Presenting Author: Johannes M Peeters

Synopsis

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References

1. Metens T, Absil J, Denolin V, et al. Liver apparent diffusion coefficient repeatability with individually predetermined optimal cardiac timing and artifact elimination by signal filtering. J Magn Reson Imaging. 2016;43(5):1100–1110.

2. Zhang Y, Peña-Nogales Ó, Holmes JH, Hernando D. Motion-robust and blood-suppressed M1-optimized diffusion MR imaging of the liver. Magn Reson Med. 2019;82(1):302-311.

3. Aliotta E, Wu HH, Ennis DB. Convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion-compensated diffusion-weighted MRI. Magn Reson Med. 2017;77(2):717-729.

4. Majeed W, Kalra P, Kolipaka A (2018) Motion Compensated, Optimized Diffusion Encoding (MODE) Gradient Waveforms. In: Proceedings of the 2018 Annual Meeting of ISMRM. Paris, France. 2018; Abstract 1614

5. McTavish S, Van AT, Peeters JM, et al. Gradient nonlinearity correction in liver DWI using motion-compensated diffusion encoding waveforms. MAGMA. 2022;35(5):827-841.

6. Raspe J, Harder FN, Rupp S, et al. Retrospective Motion Artifact Reduction by Spatial Scaling of Liver Diffusion-Weighted Images. Tomography. 2023;9(5):1839-1856.

7. Yoneyama M, Murayama D, Sakai T, et al. Motion-robust, time-efficient, whole-liver DWI using Diffusion PLUS (Physiology-Led Unique Slice ordering). In: Proceedings of the 2025 Annual Meeting of ISMRM Honolulu, USA. 2025; Abstract 2884

8. Malyarenko DI, Pang Y, Senegas J, et al. Correction of Gradient Nonlinearity Bias in Quantitative Diffusion Parameters of Renal Tissue with Intra Voxel Incoherent Motion. Tomography. 2015;1(2):145-151.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/663-01-012