Research Article

[Retracted] Application of Dynamic Enhanced Magnetic Resonance Imaging in the Diagnosis of Hematological Malignancies

Table 2

DE-MRI image features.

Common featuresDescriptionEvaluation

Morphological characteristicsRoundness: the roundness of the lesion
Area: the area of the lesion
Edge sharpness: average signal gradient at the edge of the lesion
Border irregularity: the shape deviation of the edge of the lesion
Important guiding role in the judgment of benign and malignant tumors, and the calculation is relatively simple. Classification effect is not as good as other features.

Texture featureContrast: it reflects the sharpness of the image
Autocorrelation: it reflects the texture consistency of the image
ASM energy: it reflects the uniformity of image grayscale
Inverse moment of difference: it reflects the homogeneity of image texture
Entropy: it reflects the nonuniformity of image texture
Reflect the texture characteristics of the image. Classifiers trained as features are better than morphological features.

Hemodynamic characteristicsMaximum absorption: the peak of the kinetic curve
Peak time: the time required to reach the peak
Absorption rate: the absorption rate of the contrast agent
Attenuation rate: the rate of attenuation of the contrast agent
Enhancement ratio: the ratio of signal strength before enhancement to average signal strength enhancement
The classifier trained as a feature works best.