Dependency of R2 and R2 * relaxation on Gd-DTPA concentration in arterial blood: Influence of hematocrit and magnetic field strength.
Daniëlle van DorthKrishnapriya VenugopalDirk H J PootLydiane HirschlerJeroen de BresserMarion SmitsJuan A Hernandez-TamamesClément S DebackerMatthias J P van OschPublished in: NMR in biomedicine (2021)
Dynamic susceptibility contrast (DSC) MRI is clinically used to measure brain perfusion by monitoring the dynamic passage of a bolus of contrast agent through the brain. For quantitative analysis of the DSC images, the arterial input function is required. It is known that the original assumption of a linear relation between the R2 (*) relaxation and the arterial contrast agent concentration is invalid, although the exact relation is as of yet unknown. Studying this relation in vitro is time-consuming, because of the widespread variations in field strengths, MRI sequences, contrast agents, and physiological conditions. This study aims to simulate the R2 (*) versus contrast concentration relation under varying physiological and technical conditions using an adapted version of an open-source simulation tool. The approach was validated with previously acquired data in human whole blood at 1.5 T by means of a gradient-echo sequence (proof-of-concept). Subsequently, the impact of hematocrit, field strength, and oxygen saturation on this relation was studied for both gradient-echo and spin-echo sequences. The results show that for both gradient-echo and spin-echo sequences, the relaxivity increases with hematocrit and field strength, while the hematocrit dependency was nonlinear for both types of MRI sequences. By contrast, oxygen saturation has only a minor effect. In conclusion, the simulation setup has proven to be an efficient method to rapidly calibrate and estimate the relation between R2 (*) and gadolinium concentration in whole blood. This knowledge will be useful in future clinical work to more accurately retrieve quantitative information on brain perfusion.
Keyphrases
- contrast enhanced
- diffusion weighted
- magnetic resonance
- magnetic resonance imaging
- diffusion weighted imaging
- computed tomography
- single molecule
- white matter
- resting state
- healthcare
- endothelial cells
- high resolution
- deep learning
- functional connectivity
- multiple sclerosis
- machine learning
- electronic health record
- mass spectrometry
- artificial intelligence
- genetic diversity
- neural network