20 Sep 2023
 | 20 Sep 2023
Status: this preprint is currently under review for the journal MR.

Lipid Removal in Deuterium Metabolic Imaging (DMI) using Spatial Prior Knowledge

Robin A. de Graaf, Yanning Liu, Zachary A. Corbin, and Henk M. De Feyter

Abstract. Deuterium Metabolic Imaging (DMI) is a novel method to generate spatial maps depicting dynamic metabolism of deuterated substrates, such as [6,6’-2H2]-glucose, and their metabolic products, like 2H-lactate. While DMI acquisition methods are simple and robust, DMI processing still requires expert user interaction, for example in the removal of extracranial natural abundance 2H lipid signals that interfere with metabolism-linked 2H-lactate formation. Here we pursue the use of MRI-based spatial prior knowledge on brain and non-brain/skull locations to provide robust and objective lipid removal. Magnetic field heterogeneity was accounted for using DMI-derived surrogate B0 and B1 maps, as well as through subdivision of the skull region into smaller compartments. Adequate lipid removal with an average suppression of 90.5 ± 11.4 % is achieved on human brain in vivo without perturbation of the metabolic profile in brain voxels, thereby allowing the generation of distinct and reliable metabolic maps on patients with brain tumors.

Robin A. de Graaf et al.

Status: open (until 17 Dec 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on mr-2023-12', Anonymous Referee #1, 28 Nov 2023 reply
  • RC2: 'Comment on mr-2023-12', Philip Adamson, 29 Nov 2023 reply
  • RC3: 'Comment on mr-2023-12', Anonymous Referee #3, 03 Dec 2023 reply

Robin A. de Graaf et al.

Robin A. de Graaf et al.


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Short summary
Deuterium Metabolic Imaging (DMI) is a novel method to obtain images of dynamic metabolism in the living human brain. While DMI is generally simple and robust, small signals from deuterated skull lipids can distort the metabolic information within the brain. Here we use MRI-based information on brain and skull locations to remove lipid signals from DMI data. With an average 90 % lipid removal, DMI is used to generate distinct and artifact-free metabolic maps on patients with brain tumors.