By Jessica McKay
This month we talked to Michael Dieckmeyer and Dimitrios (Dimitris) Karampinos about their work to measure apparent diffusion coefficient (ADC) values in bone marrow. Michael has a very diverse education that includes a master’s degree in mathematics, and he is currently completing his final year of medical school. His mentor Dimitris leads a multidisciplinary research team in Munich that focuses on the development of quantitative MRI, targeting musculoskeletal diseases and metabolic diseases like obesity and diabetes. In this paper, they use modeling to overcome some of the challenges of ADC quantification in the presence of fat. By including the proton density fat fraction (PDFF) and the T2 of water, they can reduce the bias in the ADC measurements that is introduced by residual fat.
7 Tesla 22-channel wrap-around coil array for cervical spinal cord and brainstem imaging, by Bei Zhang, Alan C. Seifert, Joo-won Kim, Joseph Borrello and Junqian Xu
October Editor’s Picks
ADC Quantification of the Vertebral Bone Marrow Water Component: Removing the Confounding Effect of Residual Fat, by Michael Dieckmeyer, Stefan Ruschke, Holger Eggers, Hendrik Kooijman, Ernst J. Rummeny, Jan S. Kirschke, Thomas Baum and Dimitrios C. Karampinos
Gradient and shim pre-emphasis by inversion of a linear time-invariant system model, by S. Johanna Vannesjo, Yolanda Duerst, Laetitia Vionnet, Benjamin E. Dietrich, Matteo Pavan, Simon Gross, Christoph Barmet and Klaas P. Pruessmann
Audioslides: coming soon!
By Nikola Stikov
The Martinos center in Boston recently brought us wave-CAIPI, an accelerated 3D imaging technique that uses helixes in k-space to encode information and speed up MRI acquisition. However, differences in the calibration of the gradient systems made it difficult to generalize the wave-CAIPI technique and deploy it on any clinical scanner. This is where the Editor’s Pick for September comes in; Stephen Cauley and his colleagues proposed a joint optimization approach to estimate k-space trajectory discrepancies simulataneously with the underlying image. We asked Steve and senior author Larry Wald to tell us the story of autocallibrated wave-CAIPI.
By Nikola Stikov, Atef Badji
This September brings us an Editor’s pick from Freiburg, where Dmitry Kurzhunov and his colleagues used Oxygen-17 (17O) to quantify the cerebral metabolic rate of oxygen consumption (CMRO2) on a 3T clinical MRI system. While positron emission tomography (PET) remains the gold standard for measuring CMRO2, Dmitry and senior author Michael Bock give us several reasons why 17O might be the way to go.