Ultrashort TE spectroscopic imaging (UTESI): application to the imaging of short T2 relaxation tissues in the musculoskeletal system.
OBJECTIVE
To investigate ultrashort TE spectroscopic imaging (UTESI) of short T2 tissues in the musculoskeletal (MSK) system.


METHODS
Ultrashort TE pulse sequence is able to detect rapidly decaying signals from tissues with a short T2 relaxation time. Here a time efficient spectroscopic imaging technique based on a multiecho interleaved variable TE UTE acquisition is proposed for high-resolution spectroscopic imaging of the short T2 tissues in the MSK system. The projections were interleaved into multiple groups with the data for each group being collected with progressively increasing TEs. The small number of projections in each group sparsely but uniformly sampled k-space. Spectroscopic images were generated through Fourier transformation of the time domain images at variable TEs. T2* was quantified through exponential fitting of the time domain images or line shape fitting of the magnitude spectrum. The feasibility of this technique was demonstrated in volunteer and cadaveric specimen studies on a clinical 3T scanner.


RESULTS
UTESI was applied to six cadaveric specimens and four human volunteers. High spatial resolution and contrast images were generated for the deep radial and calcified layers of articular cartilage, menisci, ligaments, tendons, and entheses, respectively. Line shape fitting of the UTESI magnitude spectroscopic images show a short T2* of 1.34 +/- 0.56 msec, 4.19 +/- 0.68 msec, 3.26 +/- 0.34 msec, 1.96 +/- 0.47 msec, and 4.21 +/- 0.38 msec, respectively.


CONCLUSIONS
UTESI is a time-efficient method to image and characterize the short T2 tissues in the MSK system with high spatial resolution and high contrast.
Du
Jiang
J
Department of Radiology, University of California, San Diego, California, USA. jiangdu@ucsd.edu
Takahashi
Atsushi M
AM
Chung
Christine B
CB
D002102:Cadaver; D002358:Cartilage, Articular / Q000033:anatomy & histology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008022:Ligaments / Q000033:anatomy & histology*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D008592:Menisci, Tibial / Q000033:anatomy & histology; D013710:Tendons / Q000033:anatomy & histology*