Simultaneous whole‐liver water T1$$ {\mathrm{T}}_1 $$ and T2$$ {\mathrm{T}}_2 $$ mapping with isotropic resolution during free‐breathing

Author:

Stelter Jonathan1ORCID,Weiss Kilian2,Steinhelfer Lisa1,Spieker Veronika34,Huaroc Moquillaza Elizabeth1,Zhang Weitong5,Makowski Marcus R.1,Schnabel Julia A.346,Kainz Bernhard57,Braren Rickmer F.1,Karampinos Dimitrios C.189

Affiliation:

1. Institute of Diagnostic and Interventional Radiology, School of Medicine and Health Technical University of Munich Munich Germany

2. Philips GmbH Market DACH Hamburg Germany

3. Institute of Machine Learning for Biomedical Imaging Helmholtz Munich Neuherberg Germany

4. School of Computation, Information and Technology Technical University of Munich Munich Germany

5. Department of Computing Imperial College London London United Kingdom

6. School of Biomedical Imaging and Imaging Sciences King's College London London United Kingdom

7. Department Artificial Intelligence in Biomedical Engineering Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU) Erlangen Germany

8. Munich Institute of Biomedical Engineering Technical University of Munich Garching Germany

9. Munich Data Science Institute Technical University of Munich Garching Germany

Abstract

AbstractPurposeTo develop and validate a data acquisition scheme combined with a motion‐resolved reconstruction and dictionary‐matching‐based parameter estimation to enable free‐breathing isotropic resolution self‐navigated whole‐liver simultaneous water‐specific () and () mapping for the characterization of diffuse and oncological liver diseases.MethodsThe proposed data acquisition consists of a magnetization preparation pulse and a two‐echo gradient echo readout with a radial stack‐of‐stars trajectory, repeated with different preparations to achieve different and contrasts in a fixed acquisition time of 6 min. Regularized reconstruction was performed using self‐navigation to account for motion during the free‐breathing acquisition, followed by water–fat separation. Bloch simulations of the sequence were applied to optimize the sequence timing for insensitivity at 3 T, to correct for relaxation‐induced blurring, and to map and using a dictionary. The proposed method was validated on a water–fat phantom with varying relaxation properties and in 10 volunteers against imaging and spectroscopy reference values. The performance and robustness of the proposed method were evaluated in five patients with abdominal pathologies.ResultsSimulations demonstrate good insensitivity of the proposed method in measuring and values. The proposed method produces co‐registered and maps with a good agreement with reference methods (phantom: ; ). The proposed and mapping exhibits good repeatability and can be robustly performed in patients with pathologies.ConclusionsThe proposed method allows whole‐liver and quantification with high accuracy at isotropic resolution in a fixed acquisition time during free‐breathing.

Funder

Philips

International Graduate School of Science and Engineering

Publisher

Wiley

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