Marco Barbieri1, Congyu Liao1,2, Xiaozhi Cao1,2, Yang Yang3, Kawin Setsompop1,2, and Feliks Kogan1
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States
Synopsis
Keywords: Bone, Bone, MSK, Quantitative Imaging, MR Fingerprinting, Data Processing
Motivation: Bone porosity is crucial for bone strength, yet standard multi-echo uTE-GRE techniques are too time-consuming for clinical use. uTE MR Fingerprinting (MRF) has not been tested for porosity assessment. If feasible it may offer faster porosity mapping for clinical applications.
Goal(s): Assessing the feasibility of using dual-echo 3D-uTE-MRF to measure porosity through simulations and preliminary in vivo testing.
Approach: A dual-echo 3D-uTE-MRF sequence was tested for porosity accuracy and precision against standard multi-echo uTE-GRE via simulations. In-vivo, a volunteer's tibia was imaged to demonstrate the technique's preliminary viability.
Results: In simulations, dual-echo uTE-MRF outperformed uTE-GRE, but in-vivo applications, despite feasibility, need further development.
Impact: We demonstrated the feasibility of a dual-echo
uTE MRF approach for measuring bone porosity trough simulation and a
preliminary in-vivo acquisition.
Introduction
Trabecular and cortical porosity deterioration plays a key role in
determining bone strength. Multi-echo uTE gradient echo (GRE) acquisitions with
tri-exponential modeling allow effective measurement of cortical bone porosity
in proximal bone sites in vivo1. However, their long scan time impairs their use in clinical settings. Porosity Index2 and Suppression Ratio3 have been proposed to overcome long scan times, but they do not allow full
quantification of water compartments.
Magnetic Resonance Fingerprinting (MRF) is a fast quantitative MRI methodology for multi-parametric mapping4. While ultra-short
Echo-Time (uTE) MRF has been recently proposed for myelin water mapping5,6, its feasibility for
porosity mapping in bone has not been investigated. If feasible, the approach
may circumvent long acquisition times required by multi-echo uTE-GRE
acquisitions and allow porosity measurement in clinically viable times. In this work, we investigated the feasibility of
using a dual-echo 3D uTE-MRF approach to measure bone porosity using
simulations and show a prelaminar acquisition in vivo. Methods
Sequence: A 3D dual-echo uTE-MRF sequence inspired by the recently developed sequence
applied for Myelin mapping in the brain5 was implemented (Figure 1).
For each repetition time (TR) between consecutive pulses, two echoes are
acquired using a spiral-out spiral-in readout with an echo spacing of 2.6 ms
(see Fig. 1(a)). The first echo is varied among successive pulses according to
a sinusoidal pattern within the range [0.1 - 0.6] ms (Fig. 1(c)).
Simulation
experiments: The performance of the dual-echo uTE-MRF
sequence in estimating bone porosity as a function of noise compared with using
the standard multi-echo uTE-GRE sequence was tested using simulations.
1000 bone voxel signals with porosity ranging from 100% (bone marrow) to
10% (very compact cortical bone) were simulated. Each signal was a mixture of 3
components: fat, pore water, and bound water. For each mixture, T1, T2, and T2*
of each component were randomly sampled within physiological ranges (estimated
from literature(1,7–9)). In
addition, for each signal, B0 inhomogeneity and B1 inefficiency were randomly
sampled in the ranges (-100, 100) Hz and (0.5, 1.2) respectively. Fat was
modeled as one peak at +3.4ppm. For the multi-echo uTE-MRF, the signals were
simulated with an extended phase graph (EPG) formalism10, while a tri-exponential
model was used for simulating the multi-echo uTE-GRE signals1. White Gaussian noise was
added with increasing variance to simulate different levels of noise corruption
(see Figure 2). The SNR was defined as the power of the signal to the power
of the noise. A non-linear least square (NLSQ) optimization procedure with the
VARPRO technique was used to fit the data11 using a 3-component model: tri-exponential
and tri-component EPG for uTE-GRE and uTE-MRF, respectively. The mean error and
the mean absolute error were used as measures of accuracy and precision,
respectively.
In-vivo
acquisition: The tibia of a healthy volunteer was
scanned a 3T (MAGNETOM Vida, Siemens Healthineers, Erlangen, Germany), after
obtaining informed consent, using the 3D uTE-MRF sequence with isotropic
resolution (FOV = 20 cm3 , matrix size of 150 x 150 x 150).
For this preliminary proof
of concept, an undersampling factor R=64 for each spiral readout was used with 289
sequence repetitions (tacq = 806 s). The data were
reconstructed using filtered back-projection with NUFFT. NLSQ fitting was
applied voxel-wise in the tibia.Results
Simulation results are shown in Figures 3 and 4. Dual-echo uTE-MRF outperformed
the reference uTE-GRE method, providing more accurate and consistent porosity
estimates across different SNRs (Figure 3). Figure 4 shows a higher level
of agreement between ground-truth component fractions and estimated fractions
according to uTE-MRF and uTE-GRE for an SNR of 5 (first echo) and 50,
respectively. The long-lived fraction map, which combines fat and pore-water
and is proportional to porosity, from the preliminary in-vivo acquisition is
reported in Figure 5b. It is possible to observe some artifacts in the external
portion of the tibia, where the long-lived component fraction is much higher
than the internal part of the tibia. Discussion and Conclusion
Our simulation
experiments indicate that dual-echo uTE-MRF is capable of accurately estimating
bone porosity, demonstrating robustness at low SNRs and better sensitivity to
tissue properties than traditional uTE-GRE. While initial in vivo results showed
differentiation of different compartments in the tibia, they also highlighted
the need for further refinement due to observed artefacts. Optimizations,
possibly using Cramér–Rao Lower Bound principles for improved SNR efficiency,
along with thorough in vivo and phantom validations, are necessary steps
forward.
In summary, our findings suggest that with further development,
dual-echo uTE-MRF may enable precise and clinically timely bone porosity
measurements. Acknowledgements
NIH (R01AR079431,
R21EB030180, R01AR077604, R01EB002524), Wu Tsai Human Performance Alliance,
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