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Abstract #2455

Accelerated 3D UTE Relaxometry for Quantification of Iron-Oxide Labeled Cells

Bo Zhao1, 2, T Kevin Hitchens3, 4, Anthony G. Christodoulou1, 5, Fan Lam1, 5, Yijen Wu3, 4, Chien Ho3, 4, Zhi-Pei Liang1, 5

1Department of Eletrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 2Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States; 3Pittsburgh NMR Center for Biomedical Research, Carnegie Mellon University, Pittsburgh, PA, United States; 4Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, United States; 5Beckman Institute , University of Illinois at Urbana-Champaign, Urbana, IL, United States

A new model-based reconstruction method is presented for accelerating 3D ultra-short echo time (UTE) parametric mapping. The proposed method enables accurate parameter mapping with significantly reduced data acquisition times. It should prove useful for 3D UTE relaxometry and various related applications (e.g., labeled cell tracking).

Keywords

accelerate accelerated accelerating acceleration accumulation accurate acquiring acquisition additive advanced amount applications applied approximately around artery biological biomedical biophysical black brown cell cells champaign characterizing coefficients component computer constrained constraint constraints continuation coronary days desired detect determined developed efficiently enable enables enforces enforcing engineering equivalent errors especially evaluate evaluated example excised exciting experienced experiment experimental exposed extremely fully furthermore gatehouse grant half heart highly hundreds illustrated in vivo injection injury iron joint jointly label labeled least ligation limited listed locations long macrophage macrophages mapping maps matrix micro microseconds minutes myocardium navigator need nonlinear overall oxide parametric partial partially performance perfused post powerful practical predetermined principal problem procedure proposed quadratic quantification quantitative ranging reconstruct reconstructed reconstruction reduction regularization related remaining represents resolution respectively retrospective scanner sciences sensing short site slice smoothness solving space spacing sparsity spatial specifically spokes squares table take taking tissue tissues tool tracking transient ultra useful utility variable various weightings wide