Q&A with Kawin Setsompop and Larry Wald


Kawin Setsompop and Larry Wald are old friends of MRM Highlights, and their work has been prominently featured in our magazines (here, here and here). In their most recent MRM paper, they complement their simultaneous multi-slice (SMS) acquisition with an additional 3D RF-encoding for each 3mm slice (or thin slab), in order to push the resolution of diffusion imaging to 600 µm isotropic in the brain. This technique nicely solves the issue of phase corruption in multi-shot MRI acquisition.

29 January 2018, 05:26 PST|Categories: Highlights-post, Highlights-QA|Tags: , , , |

Q&A with Hua Li and Junzhong Xu

                          By Thijs Dhollander

We sat down across time zones again (Australia in the morning, US east coast late afternoon), this time with Hua Li and Junzhong Xu, first and last author of their recent paper “Impact of transcytolemmal water exchange on estimates of tissue microstructural properties derived from diffusion MRI”. Apart from discussing the paper, we couldn’t resist touching on the topic of social media in research these days, as well as the challenges and peer pressure involved with designing good acronyms for novel methods…

Q&A with Elias Kellner, Valerij Kiselev and Marco Reisert


Recently, we had a chat with Elias Kellner, Valerij Kiselev and Marco Reisert from the University Medical Center Freiburg about their MRM paper entitled “Gibbs-Ringing Artifact Removal Based on Local Subvoxel-Shifts”. A challenge in time zone management, the interview was an early morning event for the MRM highlights editor (Nikola, in Montreal) and a late evening for the interviewer (Thijs, in Melbourne); however, that didn’t stop us discussing not only the paper, but also the art of paper writing and valuable lessons for the developers of novel acquisition strategies.

Q&A with Brian Hansen & Sune Jespersen



This month’s Editor’s Pick features a project that makes kurtosis imaging more accessible to clinicians and researchers, alike, from a group in Denmark that includes our interviewees: Brian Hansen and Sune Jespersen. Diffusion kurtosis imaging (DKI) increases sensitivity to microstructural changes by extending the diffusion signal expression to account for non-Gaussian effects, but it typically requires time-consuming acquisitions with high diffusion weighting. Brian and Sune’s group had previously described a fast protocol, referred to as the 1-3-9 scheme, that includes three diffusion directions at a low b-value to determine the mean diffusivity and 9 specific diffusion directions at a higher b-value to calculate mean kurtosis [Hansen et al. MRM 69, 2013]. In this work, they extend the protocol to make it more robust to experimental imperfections by acquiring all 9 directions at the lower b-value, which they call 1-9-9. They further characterize the optimum b-values and propose a method to correct for imperfect diffusion directions. Keep reading to find out how their acquisition scheme expands the clinical value and feasibility of kurtosis imaging and you may even be inspired to add this ~1-minute scan onto your own protocol.

Q&A with Roger Bourne


Today, we spoke to Dr. Roger Bourne from the University of Sydney about his recent paper, “Diffusion Anisotropy in Fresh and Fixed Prostate Tissue Ex Vivo”. Roger says he is an expert in absolutely nothing. We disagree.

11 August 2016, 23:07 PDT|Categories: Highlights-post, Highlights-QA|Tags: , , , |

Q&A with Jelle Veraart, Els Fieremans, and Dmitry Novikov


One of the editor’s picks for the month of July is a paper entitled “Gibbs Ringing in Diffusion MRI”. Recently, we talked with Drs. Jelle Veraart, Els Fieremans, and Dmitry Novikov to learn more about how they use regularization functions to mitigate artifacts induced by Gibbs ringing in diffusion MRI.

Q&A with Sebastiano Barbieri and Harriet Thoeny


We sat down with Dr. Sebastiano Barbieri and Dr. Harriet Thoeny from Inselspital University Hospital to discuss their paper, “Impact of the Calculation Algorithm on Biexponential Fitting of Diffusion-Weighted MRI in Upper Abdominal Organs”. Sebastiano, who completed his Ph.D. at Jacobs University and the Fraunhofer Institute for Medical Image Computing in Germany, has a background in math and image processing. Harriet is a radiologist dedicated to urogenital and head and neck radiology with main research interest in functional MRI, and special focus on diffusion-weighted MRI. In their paper, they assess six different algorithms for fitting a biexponential IntraVoxel Incoherent Motion (IVIM) model.

Q&A with Dariya Malyarenko and Tom Chenevert

The March Editor’s Pick features Dr. Dariya Malyarenko and Dr. Tom Chenevert, from the University of Michigan. With a background in solid-state NMR and signal processing for biomarker discovery from cancer proteomics data, Dariya started in MRI as an NIH T32 trainee four years ago. Tom began his work in MRI 25 years ago at the University of Michigan. In their paper they perform a multicenter study to thoroughly characterize the sources of technical bias in quantitative diffusion weighted imaging (DWI), and identify gradient non-linearity as a major contributor.

Q&A with Michael Herbst and Thomas Ernst

For a second week in a row, we report on exciting new work from Hawaii. This time we spoke with Michael Herbst and Thomas Ernst about the importance of motion correction. As they say: the patients that need a scan the most are those that move the most.

Q&A with Jussi Toivonen and Ivan Jambor

Both of our October Editor’s picks are on prostate imaging, and the first one comes from the University of Turku in Finland. Jussi Toivonen recently published a paper on diffusion imaging of prostate, and we invited him and senior author Ivan Jambor to tell us about their work.

Search ISMRM.org:

Translate ISMRM: