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Fluid suppression in amide proton transfer‐weighted (<scp>APTw) CEST</scp> imaging: New theoretical insights and clinical benefits

Jan‐Rüdiger Schüre, Stefano Casagranda, Maria Sedykh, Patrick Liebig, Christos Papageorgakis, Laura Mancini, Sotirios Bisdas, Lucia Nichelli, Nándor Pintér, Laszlo Mechtler, Ramin Jafari, Nathalie Boddaert, Volodia Dangouloff‐Ros, Julie Poujol, Manuel Schmidt, Arnd Doerfler, Moritz Zaiß

2023Magnetic Resonance in Medicine15 citationsDOIOpen Access PDF

Abstract

PURPOSE: Amide proton transfer-weighted (APTw) MRI at 3T provides a unique contrast for brain tumor imaging. However, APTw imaging suffers from hyperintensities in liquid compartments such as cystic or necrotic structures and provides a distorted APTw signal intensity. Recently, it has been shown that heuristically motivated fluid suppression can remove such artifacts and significantly improve the readability of APTw imaging. THEORY AND METHODS: In this work, we show that the fluid suppression can actually be understood by the known concept of spillover dilution, which itself can be derived from the Bloch-McConnell equations in comparison to the heuristic approach. Therefore, we derive a novel post-processing formula that efficiently removes fluid artifact, and explains previous approaches. We demonstrate the utility of this APTw assessment in silico, in vitro, and in vivo in brain tumor patients acquired at MR scanners from different vendors. RESULTS: Our results show a reduction of the CEST signals from fluid environments while keeping the APTw-CEST signal intensity almost unchanged for semi-solid tissue structures such as the contralateral normal appearing white matter. This further allows us to use the same color bar settings as for conventional APTw imaging. CONCLUSION: Fluid suppression has considerable value in improving the readability of APTw maps in the neuro-oncological field. In this work, we derive a novel post-processing formula from the underlying Bloch-McConnell equations that efficiently removes fluid artifact, and explains previous approaches which justify the derivation of this metric from a theoretical point of view, to reassure the scientific and medical field about its use.

Topics & Concepts

Computer scienceArtificial intelligenceLanthanide and Transition Metal ComplexesAdvanced MRI Techniques and ApplicationsElectron Spin Resonance Studies
Fluid suppression in amide proton transfer‐weighted (<scp>APTw) CEST</scp> imaging: New theoretical insights and clinical benefits | Litcius