2025-2026 news and milestones

QIMS recognizes Lexiaozi Fan in its 2026 Reviewer of the Month series.
The journal profile identifies Fan as a Northwestern Radiology postdoctoral fellow and highlights her work in quantitative perfusion cardiovascular MRI.

Lexiaozi Fan receives AHA Postdoctoral Fellowship support for whole-heart perfusion CMR.
Northwestern Radiology lists the fellowship for quantitative whole-heart isotropic-spatial-resolution perfusion CMR under Dong-Hyun Kim's mentorship in the CVMRI Lab.

SCMR recognizes Michael Markl with the MSCMR designation.
The Society for Cardiovascular Magnetic Resonance lists Markl among current Masters of the Society, a designation recognizing distinguished service and accomplishments in the CMR field.

Haben Berhane receives NIH F31 support for automated BAV hemodynamics.
Northwestern Radiology lists the NHLBI fellowship for a deep-learning 4D flow MR pipeline to assess aortic hemodynamics in bicuspid aortic valve disease.

Anahita Najafi is scheduled to present heart-brain MRI work at ISMRM 2026.
The ISMRM Hemodynamics and Flow session lists the Northwestern Feinberg atrial-fibrillation abstract with Najafi, Justin Baraboo, Thara Nallamothu, Daniel Kim, Kelly Jarvis, and collaborators.

Thara Nallamothu is scheduled to present dual-venc 5D flow MRI work at ISMRM 2026.
The ISMRM Hemodynamics and Flow session lists Nallamothu, Elizabeth Weiss, Justin Baraboo, and collaborators on dual-venc 5D flow MRI in under 10 minutes.

Haben Berhane is scheduled to present 4D flow MRI acceleration work at ISMRM 2026.
The Advanced Cardiac Quantification Methods session lists Berhane, Ethan Johnson, Sebastian Cohn, Bradley Allen, and Michael Markl on deep-learning-based highly sub-sampled velocity encoding.

William Dong presented automated false-lumen flow dynamics work at SCMR 2026.
The SCMR rapid-fire program lists Dong as presenting the aortic-dissection 4D flow MRI abstract with Sebastian Cohn, Elizabeth Weiss, Christopher Mehta, Michael Markl, and Bradley Allen.

Ethan Johnson presented machine-learned BAV hemodynamics work at SCMR 2026.
The SCMR program lists Johnson's abstract comparing machine-learned hemodynamic estimates from contrast-enhanced MRA with direct 4D flow MRI measurements for BAV outcomes.

Thara Nallamothu and collaborators publish respiration-resolved 5D flow MRI work in congenital heart disease.
The Magnetic Resonance in Medicine article includes Nallamothu, Elizabeth Weiss, Justin Baraboo, and collaborators and evaluates respiration-driven changes in blood-flow energetics.

Lexiaozi Fan coauthors pulmonary transit-time CMR work in Magnetic Resonance in Medicine.
The article reports a method for quantifying pulmonary transit time from non-arterial-input-function first-pass cardiac perfusion MRI series.

James Carr and Bradley Allen coauthor multiparametric CMR study for cardiac amyloidosis.
The International Journal of Cardiovascular Imaging article evaluates multiparametric CMR for detecting cardiac amyloidosis in patients with undifferentiated concentric left ventricular hypertrophy.

Northwestern Now features Allen and Markl's Third Coast Dynamics translational project.
The feature describes a deep-learning approach to measuring aortic blood flow from widely available CT and MRI scans as a lower-cost alternative to specialized 4D flow MRI.

Kai Lin and James Carr publish cine MRI radiomics work for functional tricuspid regurgitation.
The Journal of Cardiovascular Development and Disease article evaluates cine MRI-derived radiomic features in pulmonary hypertension patients with and without functional tricuspid regurgitation.

Ryan Avery and Bradley Allen coauthor a state-of-the-art review on quantitative stress perfusion CMR.
The RadioGraphics article reviews principles and clinical applications of quantitative stress first-pass perfusion cardiac MRI.

Bradley Allen publishes an AJR counterpoint on focused cardiac MRI protocols.
The American Journal of Roentgenology article argues for focused cardiac MRI protocols for patients, imagers, and clinical practices.

Ethan Johnson, Haben Berhane, Elizabeth Weiss, and Kelly Jarvis publish an automated aortic 4D flow pipeline.
The Bioengineering article evaluates a fully automated 4D flow MRI analysis pipeline for aortic hemodynamics across a large cohort.

Justin Baraboo and Haben Berhane publish fully automated on-scanner aortic 4D flow processing.
The Journal of Cardiovascular Magnetic Resonance article reports an in-line workflow for automated aortic 4D flow MRI processing and hemodynamic analysis.

Justin Baraboo and Haben Berhane publish automated left-atrial segmentation and flow quantification work.
The International Journal of Cardiovascular Imaging article reports deep-learning-based left atrial segmentation and flow quantification for real-time phase contrast MRI in atrial fibrillation.

Justin Baraboo presents arrhythmia-resolved 5D flow MRI work at ISMRM 2025.
The ISMRM abstract lists Baraboo, Thara Nallamothu, Elizabeth Weiss, and collaborators on heart-rate-resolved atrial blood-flow energetics in atrial fibrillation.

Jeesoo Lee and Haben Berhane coauthor pulmonary-artery hemodynamics work in Pulmonary Circulation.
The article compares pulmonary artery flow velocity and wall shear stress between pulmonary arterial hypertension and PH-HFpEF cohorts using 4D-flow CMR.

Mohammed Elbaz presents DarkSPARC left-atrial LGE MRI work at ISMRM 2025.
The ISMRM abstract describes a self-calibrated method for generating left-atrial dark-blood LGE images from standard bright-blood LGE acquisitions.

Mohammed Elbaz, Ryan Avery, Bradley Allen, and James Carr coauthor pulmonary vortex energetics study.
The Journal of Magnetic Resonance Imaging paper evaluates 4D-flow-MRI-derived left pulmonary artery vortex energetics for differentiating pulmonary hypertension groups.

NIH R01 support advances Michael Markl's AI-driven BAV 4D flow MRI pipeline project.
The Feinberg Research Office and Northwestern Radiology grants page list NHLBI support for an end-to-end 4D flow MRI pipeline for hemodynamic assessment in bicuspid aortic valve disease.

RSNA Emerging Issues support backs Michael Markl and Jeesoo Lee's MRI energy-consumption project.
Northwestern Radiology lists the grant for a sequence-specific MRI energy-consumption prediction model.

Dixon Translational Research Grant support advances Bradley Allen's CT/MR-derived hemodynamics work.
Northwestern Radiology lists the grant for deriving 4D hemodynamics from in vivo CT and MR angiography using deep learning.