Xing Lu1,2, Saeed Jerban1, Lidi Wan1, Yajun Ma1, Hyungseok Jang1, Nicole Le3, Wenhui Yang2, Eric Y Chang1,3, Jiang Du1. 1. Department of Radiology, University of California San Diego, San Diego, California. 2. Institute of Electrical Engineering, Chinese Academy of Science, Beijing, China. 3. Radiology Service, Veterans Affairs San Diego Healthcare System, San Diego, California.
Abstract
PURPOSE: To investigate tricomponent analysis of human cortical bone using a multipeak fat signal model with 3D ultrashort TE Cones sequences on a clinical 3T scanner. METHODS: Tricomponent fitting of bound water, pore water, and fat content using a multipeak fat spectra model was proposed for 3D ultrashort TE imaging of cortical bone. Three-dimensional ultrashort TE Cones acquisitions combined with tricomponent analysis were used to investigate bound and pore water T 2 ∗ and fractions, as well as fat T 2 ∗ and fraction in cortical bone. Feasibility studies were performed on 9 human cortical bone specimens with regions of interest selected from the endosteum to the periosteum in 4 circumferential regions. Microcomputed tomography studies were performed to measure bone porosity and bone mineral density for comparison and validation of the bound and pore water analyses. RESULTS: The oscillation of the signal decay was well-fitted with the proposed tricomponent model. The sum of the pore water and fat fractions from tricomponent analysis showed a high correlation with microcomputed tomography porosity (R = 0.74, P < 0.01). Estimated bound-water fraction also demonstrated a high correlation with bone mineral density (R = 0.70, P < 0.01). CONCLUSION: Tricomponent analysis significantly improves the estimation of bound-water and pore-water fractions in human cortical bone.
PURPOSE: To investigate tricomponent analysis of human cortical bone using a multipeak fat signal model with 3D ultrashort TE Cones sequences on a clinical 3T scanner. METHODS: Tricomponent fitting of bound water, pore water, and fat content using a multipeak fat spectra model was proposed for 3D ultrashort TE imaging of cortical bone. Three-dimensional ultrashort TE Cones acquisitions combined with tricomponent analysis were used to investigate bound and pore water T 2 ∗ and fractions, as well as fat T 2 ∗ and fraction in cortical bone. Feasibility studies were performed on 9 human cortical bone specimens with regions of interest selected from the endosteum to the periosteum in 4 circumferential regions. Microcomputed tomography studies were performed to measure bone porosity and bone mineral density for comparison and validation of the bound and pore water analyses. RESULTS: The oscillation of the signal decay was well-fitted with the proposed tricomponent model. The sum of the pore water and fat fractions from tricomponent analysis showed a high correlation with microcomputed tomography porosity (R = 0.74, P < 0.01). Estimated bound-water fraction also demonstrated a high correlation with bone mineral density (R = 0.70, P < 0.01). CONCLUSION: Tricomponent analysis significantly improves the estimation of bound-water and pore-water fractions in human cortical bone.
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