Kjaer L, Ring P, Thomsen C, Henriksen O
Danish Research Centre of Magnetic Resonance, Hvidovre Hospital, University of Copenhagen, Denmark.
Acta Radiol. 1995 Mar;36(2):127-35.
The diagnostic potential of texture analysis in quantitative tissue characterisation by MR imaging at 1.5 T was evaluated in the brain of 6 healthy volunteers and in 88 patients with intracranial tumours. Texture images were computed from calculated T1 and T2 parameter images by applying groups of common first-order and second-order grey level statistics. Tissue differentiation in the images was estimated by the presence or absence of significant differences between tissue types. A fine discrimination was obtained between white matter, cortical grey matter, and cerebrospinal fluid in the normal brain, and white matter was readily separated from the tumour lesions. Moreover, separation of solid tumour tissue and peritumoural oedema was suggested for some tumour types. Mutual comparison of all tumour types revealed extensive differences, and even specific tumour differentiation turned out to be successful in some cases of clinical importance. However, no discrimination between benign and malignant tumour growth was possible. Much texture information seems to be contained in MR images, which may prove useful for classification and image segmentation.
通过1.5T磁共振成像进行定量组织特征分析时，纹理分析在6名健康志愿者和88名颅内肿瘤患者脑部的诊断潜力得到了评估。纹理图像是通过应用常见的一组一阶和二阶灰度统计量，从计算出的T1和T2参数图像中计算得出的。图像中的组织分化通过组织类型之间是否存在显著差异来估计。在正常大脑中，白质、皮质灰质和脑脊液之间获得了精细的区分，并且白质很容易与肿瘤病变区分开来。此外，对于某些肿瘤类型，还提出了实体肿瘤组织和肿瘤周围水肿的区分。所有肿瘤类型的相互比较显示出广泛的差异，甚至在某些具有临床重要性的病例中，特定肿瘤的区分也取得了成功。然而，无法区分良性和恶性肿瘤生长。磁共振图像似乎包含了大量纹理信息，这可能对分类和图像分割有用。
