Abstract #1104
Vendor-Agnostic Joint Relaxometry and Myelin Water Fraction Mapping with B1 Correction
Shohei Fujita1,2,3,4, Yohan Jun1,2, Antoine Delattre-Klauser5,6,7, Gian Franco Piredda5, Tom Hilbert5,6,7, Cemre Ariyurek2,8, Eugene Milshteyn9, Qiang Liu10, Imam Ahmed Shaik10, Yogesh Rathi10, Maxim Zaitsev11, Jon-Fredrik Nielsen12, Camilo Jaimes1,2, Patricia Ellen Grant2,13,14, Onur Afacan2,8, Borjan Gagoski2,13, and Berkin Bilgic1,2,15
1Athinoula A. Martinos Center for Biomedical Imaging Center, Boston, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Department of Radiology, The University of Tokyo, Tokyo, Japan, 4Department of Radiology, Juntendo University, Tokyo, Japan, 5Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 6Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 7LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 8Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, United States, 9GE HealthCare, Boston, MA, United States, 10Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 11Division of Medical Physics, Department of Radiology, Medical Center–University of Freiburg, Freiburg, Germany, 12Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 13Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 14Department of Pediatrics, Harvard Medical School, Boston, MA, United States, 15Harvard/MIT Health Sciences and Technology, Cambridge, MA, United States
Synopsis
Keywords: Quantitative Imaging, biomarkers, Precision & Accuracy; Validation
Motivation: Obtaining consistent quantitative maps of myelin content and relaxation times across different sites and vendors is crucial for advancing our understanding of brain development.
Goal(s): To develop rapid, vendor-agnostic joint T1, T2, and myelin water fraction mapping.
Approach: We enhanced the 3D-QALAS method to include an additional T2-preparation module, and improved the AFI technique to rapidly obtain B1+ and B1- maps. We used our dictionary-based fitting and three-compartment modeling for joint mapping.
Results: Phantom and in vivo validation confirmed the sensitivity and accuracy of our methods for short T2 values (i.e. myelin) and demonstrated consistency across multiple scanner types.
Impact: A vendor-agnostic sequence for joint and rapid acquisition of T1, T2, and myelin water fraction maps was proposed. Along with the harmonized calibration scan, this package could be a valuable tool for multi-site/multi-vendor neuroimaging studies in adult and pediatric populations.
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