Brown H K, Hazelton T R, Parsons A K, Fiorica J V, Berman C G, Silbiger M L
Department of Anatomy, College of Medicine, University of South Florida Health Sciences Center, Tampa.
J Comput Assist Tomogr. 1993 Nov-Dec;17(6):993-1005. doi: 10.1097/00004728-199311000-00030.
Our purpose was to apply full-color composite generation methods to multiparameter MRI to assess the ability of the technique to quantitatively segment clinically important anatomic and pathologic tissues.
With use of a personal computer with a 386 microprocessor and full-color (24 bit) graphics display capabilities, custom and commercially available image-processing softwares were applied to spatially aligned multiparameter SE MR image sets obtained from six patients undergoing diagnostic work-up for suspected adnexal or pelvic masses to generate intensity-based color composites. To quantitatively assess the ability of this technique to differentially segment anatomically and pathologically confirmed tissue types into unique color regions within the full-color spectrum, color image analysis was performed on the multiparameter color composites within each patient case, and the results were compared using 95% confidence intervals.
Based on the results of pathologic correlation and color image analysis, the generation of full-color composites represents a feasible technique for compressing the diverse tissue contrast data present in multiparameter MR images of adnexal masses.
With this technique, it is possible to generate composites that simultaneously display uniquely color-coded anatomic and pathologic tissue information within the context of partially natural-appearing images.
我们的目的是将全彩合成生成方法应用于多参数MRI,以评估该技术对临床上重要的解剖和病理组织进行定量分割的能力。
使用一台配备386微处理器且具备全彩(24位)图形显示功能的个人计算机,将定制的和市售的图像处理软件应用于从6例因疑似附件或盆腔肿块而接受诊断检查的患者获取的空间对齐的多参数SE MR图像集,以生成基于强度的彩色合成图像。为了定量评估该技术将经解剖和病理证实的组织类型差异分割到全彩光谱内独特颜色区域的能力,对每个患者病例的多参数彩色合成图像进行彩色图像分析,并使用95%置信区间比较结果。
基于病理相关性和彩色图像分析的结果,全彩合成图像的生成是一种可行的技术,可用于压缩附件肿块多参数MR图像中存在的多种组织对比数据。
通过该技术,可以生成在部分自然外观图像背景下同时显示独特颜色编码的解剖和病理组织信息的合成图像。