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


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.

Review of Modern 1H MRS Sequences Published in JMRI

The MR SCIENCE lab has published a review paper in JMRI entitled "Theoretical description of modern 1H in Vivo magnetic resonance spectroscopic pulse sequences." This paper covers the details of MRS acquisition in concise manner. Congratulations to first author postdoctoral fellow Karl Landheer and co-authors Ph.D. student Kelley Swanberg and undergraduate student Michael Treacy.

Novel Gradient Crusher Optimization Scheme Published in MRM

The MR SCIENCE lab has published a novel algorithm, referred to as Dephasing Optimization Through Coherence Order Pathway Selection (DOTCOPS), which designs crusher schemes for any magnetic resonance spectroscopy experiment, and can be used for any metabolite of interest. DOTCOPS uses a numerical optimization to provide maximum crushing to all unwanted coherence pathways, thereby eliminating the effects of spurious echoes which can contaminate the spectrum or cause voxel mislocalization.

First Human Brain JD-Edited GSH T2 Value at 7 T Published in JMR

The MR SCIENCE lab has published the first in vivo quantification of transverse relaxation rate T2 for edited glutathione at 7 Tesla. Performed in the human occipital cortex, their method used can be generally applied to calculate the T2 of any measurable metabolite, at great benefit to the investigation of those that exhibit J-evolution from strong coupling. Second-year Biomedical Engineering Ph.D. student Ms. Kelley Swanberg has first-authored the publication, which is currently in press at the Journal of Magnetic Resonance:

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