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Partial volume mapping using magnetic resonance fingerprinting
Author(s) -
Deshmane Anagha,
McGivney Debra F.,
Ma Dan,
Jiang Yun,
Badve Chaitra,
Gulani Vikas,
Seiberlich Nicole,
Griswold Mark A.
Publication year - 2019
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.4082
Subject(s) - partial volume , undersampling , magnetic resonance imaging , white matter , voxel , nuclear magnetic resonance , artificial intelligence , imaging phantom , ground truth , computer science , biomedical engineering , pattern recognition (psychology) , nuclear medicine , physics , medicine , radiology
Magnetic resonance fingerprinting (MRF) is a quantitative imaging technique that maps multiple tissue properties through pseudorandom signal excitation and dictionary‐based reconstruction. The aim of this study is to estimate and validate partial volumes from MRF signal evolutions (PV‐MRF), and to characterize possible sources of error. Partial volume model inversion (pseudoinverse) and dictionary‐matching approaches to calculate brain tissue fractions (cerebrospinal fluid, gray matter, white matter) were compared in a numerical phantom and seven healthy subjects scanned at 3 T. Results were validated by comparison with ground truth in simulations and ROI analysis in vivo. Simulations investigated tissue fraction errors arising from noise, undersampling artifacts, and model errors. An expanded partial volume model was investigated in a brain tumor patient. PV‐MRF with dictionary matching is robust to noise, and estimated tissue fractions are sensitive to model errors. A 6% error in pure tissue T 1 resulted in average absolute tissue fraction error of 4% or less. A partial volume model within these accuracy limits could be semi‐automatically constructed in vivo using k ‐means clustering of MRF‐mapped relaxation times. Dictionary‐based PV‐MRF robustly identifies pure white matter, gray matter and cerebrospinal fluid, and partial volumes in subcortical structures. PV‐MRF could also estimate partial volumes of solid tumor and peritumoral edema. We conclude that PV‐MRF can attribute subtle changes in relaxation times to altered tissue composition, allowing for quantification of specific tissues which occupy a fraction of a voxel.