APA (7th ed.) Citation

Sundar, L. K., Muzik, O., Rischka, L., Hahn, A., Rausch, I., Lanzenberger, R., . . . Beyer, T. (2019). Towards quantitative [18F]FDG-PET/MRI of the brain: Automated MR-driven calculation of an image-derived input function for the non-invasive determination of cerebral glucose metabolic rates. Journal of cerebral blood flow and metabolism, 39(8), 1516-1530. https://doi.org/10.1177/0271678X18776820

Chicago Style (17th ed.) Citation

Sundar, Lalith KS, et al. "Towards Quantitative [18F]FDG-PET/MRI of the Brain: Automated MR-driven Calculation of an Image-derived Input Function for the Non-invasive Determination of Cerebral Glucose Metabolic Rates." Journal of Cerebral Blood Flow and Metabolism 39, no. 8 (2019): 1516-1530. https://doi.org/10.1177/0271678X18776820.

MLA (9th ed.) Citation

Sundar, Lalith KS, et al. "Towards Quantitative [18F]FDG-PET/MRI of the Brain: Automated MR-driven Calculation of an Image-derived Input Function for the Non-invasive Determination of Cerebral Glucose Metabolic Rates." Journal of Cerebral Blood Flow and Metabolism, vol. 39, no. 8, 2019, pp. 1516-1530, https://doi.org/10.1177/0271678X18776820.