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Updated: Aug 7, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
[Magnetic resonance of the spinal cord: a densitometric analysis]
C Rozman1, J M Mercader, M Rozman
1Escuela de Hematología Farreras Valentí y Universidad de Barcelona.
Background:
Images obtained by magnetic resonance can present changes in a variety of haematologic disorders. The vertebral magnetic resonance signal depends chiefly on the relationship between fatty and cellular components of the haemopoietic bone marrow. A quantitative analysis of signal can be performed either during the magnetic resonance examination or on the computer-stored images. In this work, a densitometric grey-scale method is presented allowing to analyze the signal intensity on printed magnetic resonance images for those cases in which the computer-stored information is lacking.
Patients And Methods:
A comparative study between magnetic resonance signal and the result of the densitometric analysis was carried out in 29 patients with different haematologic disorders. In order to achieve a suitable standardization, an internal control in both measures was used, i.e., the magnetic resonance signal intensity and the grey intensity of an area of spinal cord, respectively, yielding two ratios: magnetic resonance ratio and grey ratio.
Results:
The precision analysis of the densitometric method gave the following results: within-batch coefficient of variation was 1.78%, between-batch coefficient of variation was 1.94% and overall reproducibility 6.4%. The correlation between magnetic resonance ratio and grey ratio was very high, i.e., 0.98 (p < 0.001). Moreover, the regression line displayed on ideal location since it originated in the point 0 and showed a slope of 45 degrees.
Conclusion:
The densitometric method presented in this paper can be useful for the quantitative analysis of the magnetic resonance signal intensity generated by the haemopoietic bone marrow, for those cases in which the computer-stored information is lacking.
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