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Abstract #2754

Simultaneous and Respiratory Motion-Synchronized T2 and T2* Mapping of the Human Kidneys

Jose Raul Velasquez Vides1,2, Carl J. J. Herrmann1,3, Thomas Gladytz1, Shahriar Shalikar1, Jason M. Millward1, Sonia Waiczies1, Erdmann Seeliger4, Hendrik Mattern5,6,7, Georg Rose2,8, and Thoralf Niendorf1,9
1Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Institute for Medical Engineering, Otto von Guericke University, Magdeburg, Germany, 3Department of Physics, Humboldt University of Berlin, Berlin, Germany, 4Charité - Universitätsmedizin Berlin, Berlin, Germany, 5Department of Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Germany, 6German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany, 7Center for Behavioral Brain Sciences (CBBS), Berlin, Germany, 8Research Campus STIMULATE, Otto von Guericke University, Magdeburg, Germany, 9Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany

Synopsis

Keywords: Kidney, Quantitative Imaging

Motivation: Quantitative MRI techniques, such as T2 and T2* mapping, have the potential to become important imaging biomarkers for non-invasive renal tissue assessment. However, clinical T2 and T2* mapping faces challenges posed by respiratory motion.

Goal(s): This study explores the feasibility of simultaneous T2 and T2* mapping of the human kidneys with mitigated respiratory motion artifacts, using the 2in1-RARE-EPI technique.

Approach: We used the distinctive acoustic noise pattern generated by the gradient coil switching during 2in1-RARE-EPI data acquisition to guide the subject to time their respiration during the scan.

Results: This approach facilitates high in-plane resolution (1x1x5mm3) T2 and T2* mapping of human kidneys.

Impact: Our approach for simultaneous and motion-synchronized T2 and T2* mapping of the human kidney provides a technical foundation for swift translation into the clinic and for gaining a better mechanistic understanding of renal (patho-)physiology.

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Abstract

Keywords