Journal of Medical Imaging and Health Informatics | 2021

Application of Magnetic Resonance-Ultra Time Echo (MR-UTE) Imaging in the Analysis of the Degree of Degeneration of the Intervertebral Disc Cartilage Endplate

 
 
 
 
 

Abstract


Magnetic resonance imaging (MRI) is the most widely used imaging method in clinical lumbar spine examination. Because of its advantages of non-radiation and good tissue contrast, magnetic resonance imaging provides rich and effective diagnostic information for clinic. The most commonly\n used sequence is type 2 (T2) sequence, which has a longer time (usually longer than 2000 ms). It shows well in long T2 tissues such as nucleus pulposus, cerebrospinal fluid and adipose tissue, showing moderator high signal in images, while for short T2\n tissues such as cartilage endplate and anterior and posterior longitudinal zone, it is often no signal and low signal because of its short attenuation time, thus forming obvious tissue contrast. But at the same time, because the time is too long, for short T2 tissue, the signal\n has been attenuated to zero before sequence acquisition, so the complete structure can not be displayed directly. In this paper, the normal human lumbar intervertebral disc was studied by conventional magnetic resonance type 1 (T1), T2 and double-echo-UTE\n imaging techniques. Each part of lumbar intervertebral disc and the semi-quantitative analysis of anatomical structure in images were compared, and the advantages and characteristics of each sequence for each anatomical structure of lumbar intervertebral disc and the advantage of MR-UTE in\n intervertebral disc display were discussed. It has been found that UTE, as a new sequence which can effectively image short T2 tissue, is gradually applied from experiment to clinic in bone and joint system because of its shorter time. In the gross specimens of lumbar intervertebral\n disc, sequence can directly display the cartilage endplate and the short T2 tissue of the anterior and posterior longitudinal ligament.

Volume 11
Pages 1713-1722
DOI 10.1166/JMIHI.2021.3711
Language English
Journal Journal of Medical Imaging and Health Informatics

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