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Updated: Jul 1, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
RM DE SS DE DOBLE ECO DE TIEMPO DE ECO ULTRACORTO PARA MAPEADO CUANTITATIVO DE CONDUCTIVIDAD EN LA RODILLA: UN
Sam Sedaghat1, Jin Il Park2, Eddie Fu2
1Department of Radiology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Background/Objectives:
Tissue conductivity reflects ionic composition (e.g., sodium), providing critical insights into various diseases. Ultrashort echo time quantitative conductivity mapping (UTE-QCM) offers a method to obtain this information, which is particularly effective for musculoskeletal (MSK) tissues with short T2 relaxation times. The aim of this study is to develop a UTE-QCM framework using ultrashort echo time double echo steady-state (UTE-DESS) and validate its feasibility in the knee.
Methods:
An ultrashort echo time double echo steady-state (UTE-DESS) sequence was used to acquire S+ and S- images and estimate the transmit radiofrequency field (B1+) phase at 3T. The B1+ phase was derived by canceling the phase evolution in the free induction decay using these images. This phase data was then processed using two widely used QCM reconstruction methods for comparison: parabolic fitting and an integral-based method. The proposed UTE-QCM framework was validated using a phantom containing three different concentrations of sodium chloride (0%, 0.5%, and 1%). Additionally, three healthy volunteers were recruited to validate UTE-QCM in knee imaging.
Results:
In both phantom and in vivo experiments, the integral-based QCM demonstrated improved robustness to noise compared to parabolic fitting. In the sodium phantom, the estimated conductivity showed high linearity with sodium concentrations. In the in vivo knee, the generated conductivity maps successfully visualized both long and short T2 tissues.
Conclusions:
We demonstrated the feasibility of UTE-QCM as a novel quantitative imaging tool targeting short T2 tissues in the MSK system. This technique may facilitate the diagnosis and prognosis of joint disorders.
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