Gohagan J K, Spitznagel E L, Murphy W A, Vannier M W, Dixon W T, Gersell D J, Rossnick S L, Totty W G, Destouet J M, Rickman D L
Radiology. 1987 Jun;163(3):703-7. doi: 10.1148/radiology.163.3.3575718.
Preliminary investigations were conducted into the potential of magnetic resonance (MR) images for tissue classification of the breast on the basis of relative signal intensity. Multispectral techniques originally developed by the National Aeronautics and Space Administration for satellite image analysis were used in sequence selection, image data correction, image standardization, and image interpretation. Numerous sequence combinations with varying repetition times (TR) and echo times (TE) were considered, and a triplet was selected consisting of long TR/long TE, short TR/short TE, and an opposed phase sequence with intermediate TR and TE. Correction to remove system-imposed intensity inhomogeneities was required for all images. Image standardization based on fat and pectoral muscle signals was necessary for intercase comparisons. Multispectral images obtained based on this analysis suggest the feasibility of intensity-based image classification.
基于相对信号强度，对磁共振（MR）图像用于乳腺组织分类的潜力进行了初步研究。美国国家航空航天局最初为卫星图像分析开发的多光谱技术被用于序列选择、图像数据校正、图像标准化和图像解释。考虑了许多具有不同重复时间（TR）和回波时间（TE）的序列组合，并选择了一个三联体，包括长TR/长TE、短TR/短TE以及具有中间TR和TE的反相位序列。所有图像都需要进行校正以消除系统造成的强度不均匀性。基于脂肪和胸肌信号的图像标准化对于病例间比较是必要的。基于此分析获得的多光谱图像表明了基于强度的图像分类的可行性。
