Juchem Lab

Magnetic Resonance Engineering - from Bench to Bedside

Our laboratory pursues MR engineering in the fields of magnetic resonance imaging (MRI), spectroscopy (MRS) and spectroscopic imaging (MRSI) to advance their clinical potential for the study of neurodegenerative diseases. To this end, MR method developments are combined with state-of-the-art MRI, MRS and MRSI techniques to derive in vivo direct knowledge of the pathobiochemistry underlying clinical conditions such as multiple sclerosis, diabetes or post-traumatic stress disorder (PTSD). 

Detection sensitivity and spectral dispersion of MRS/MRSI are improved with the application of ultra-high scanner B0 fields. However, true benefits are only achieved if the concomitant methodological and technical challenges can be overcome. As such, our methodological work sets the stage for in vivo clinical research of the human brain.

Principal Investigator

Christoph Juchem, PhD

Associate Professor, Departments of Biomedical Engineering and Radiology


Collaboration with Yale and University of Minnesota to Achieve In Vivo DYNAMITE MRI on Human Head



Researchers of the MR SCIENCE lab together with collaborators from Yale and the University of Minnesota present the first realization of DYNAMITE MRI of the in vivo human head. The obtained image fidelity is comparable to MRI with conventional gradient coils, paving the way for full-fledged DYNAMITE MRI and B0 shim systems for human applications.

Postdoctoral Fellow Awarded in Postdoctoral Society Science Illustration Competition


The journey to scientific discovery does not choose time or place.


Congratulations to postdoctoral fellow Martin Gajdošík on having been named a winner in the 2020 CUPS Science Essay/Illustration Competition. His painting, called “Perseverance,” is inspired by all the hard work scientists need to do, sometimes in solitude.



MR SCIENCE Laboratory Student Introduces 1H MRS for Chan-Zuckerberg Initiative Neurodegeneration Community Project

MR SCIENCE Lab Ph.D. student Kelley Swanberg gives Chan-Zuckerberg Initiative Neurodegeneration Community Project virtual seminar "In vivo proton magnetic resonance spectroscopy: Potential and recommendations for neuroscience applications." The purpose of the community project is to facilitate collaborations among researchers who develop and validate methods for neuroscience research and those who seek to employ them.

MR SCIENCE Laboratory Submits 13 Accepted Abstracts to ISMRM 28th Annual Meeting

The MR SCIENCE Laboratory has had thirteen abstracts submitted and accepted by the 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine. The abstracts cover topics from hardware design for advanced B0 shimming and validation of baseline models for spectral fitting to echo-time optimization for single-voxel spectroscopy localization techniques. Abstract contents will soon be available in the preliminary Program-at-a-Glance

Novel ultra-short-TE 1H spectroscopy localization sequence published in Journal of Magnetic Resonance

Congratulations to postdoctoral fellow Karl Landheer on the publication entitled "UTE-SPECIAL for 3D Localization at an Echo Time of 4 ms on a Clinical 3 Tesla Scanner" in Journal of Magnetic Resonance. Karl, along with collaborators Ralph Noeske from GE and Michael Garwood from University of Minnesota, developed a novel sequence that can achieve ultra-short echo times for magnetic resonance spectroscopy.

Crusher and Phase Cycling Optimization Software Published in MRM

Congratulations to postdoctoral fellow Karl Landheer on the publication entitled "Simultaneous optimization of crusher and phase cycling schemes for magnetic resonance spectroscopy: an extension of dephasing optimization through coherence order pathway selection" in Magnetic Resonance in Medicine. DOTCOPS can now optimize both crusher and phase cycling schemes. The free-to-use software is available at: http://innovation.columbia.edu/technologies/CU18146_DOTCOPS  

Publication of Novel MR Spectrum Simulation Tool in Special Issue of NMR in Biomedicine

Congratulations to first author postdoctoral fellow Karl Landheer and co-author Ph.D. student Kelley Swanberg on their publication entitled "Magnetic Resonance Spectrum Simulator (MARSS), A Novel Software Package for Fast and Computationally Efficient Basis Set Simulation." MARSS is a from-scratch software package designed to simulate the spectra of metabolites from quantum mechanics.

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