WAVELET ENHANCEMENT OF CHROMOSOME BANDING PATTERNS

该项目旨在开发和商业化显着改进 染色体显带细节数字化增强软件 显微图像中的图案。最近发展起来的小波变换和 多分辨率图像分析技术，与现代计算机化 染色体分析，承诺改进增强和方便的显示 染色体显带模式，以便更有效地进行直观比较 染色体到正常的和异常的原型以及彼此之间。这将是 帮助临床医生和研究人员检测以前不可见的条带模式 常规条带和高分辨率条带的变化。会的 显著提高自动染色体分析的能力 用于临床评估染色体改变的辅助仪器 样本以及正常和肿瘤的哺乳动物细胞中。 它是通过卷积滤波来增强图像，并结合高 高质量的数字图像记录器，首次实现了计算机化的核型测定 在近十年前变得实用起来。现在的多分辨率图像处理 为染色体提供了比线性滤波更大的潜力 图像增强，以最大限度地利用分辨率受限的光线 显微镜图像。最近发展起来的小波变换理论，以及我们的 早期的结果都强烈地表明，这些技术提供了更多 增强潜力大于常规卷积。 具体地说，我们将使用双正交小波变换或 用于增强染色体图像的几种过完备小波变换 在辨别时带出带状图案中的相关细节 对照反映预备性伪影的成分，染色体间 变异和其他非遗传差异。我们将开发小波 转变软件，在操作员的控制下，选择性地增强 不同大小和方向的图像细节，并显示结果。我们 将在PSII的Powergene商业广告中实现这一新功能 自动核型分析工作站，用于新系统和作为升级 到现有的单位，从而使其广泛应用于细胞遗传学 社区。 建议的商业应用：一旦开发了分析和 有资格进行常规应用，它将被整合到PSII Powergene产品，无论是在销售的新系统中还是作为现有系统的升级 田野中的系统。

This project aims to develop and commercialize significantly improved software for digital enhancement of the detail of chromosome banding patterns in microscopic images. Recently developed wavelet transform and multiresolution image analysis techniques, used with modern computerized chromosome analysis, promise improved enhancement and convenient display of chromosome banding patterns, for more effective visual comparison of chromosomes to normal and abnormal prototypes and to each other. This will help clinicians and researchers detect previously sub-visible band pattern alterations in conventional and high resolution banding. It will significantly increase the ability of automated chromosome analysis instruments to assist the evaluation of chromosome alterations in clinical samples and in normal and neoplastic mammalian cells. It was image enhancement by convolution filtering, coupled with high quality digital image recorders, that made computerized karyotyping first become practical almost a decade ago. Now multiresolution image processing offers considerably more potential than linear filtering for chromosome image enhancement, to make the most of the resolution-limited light microscope image. The recently-developed wavelet transform theory, and our early results, both strongly suggest that these techniques offer much more enhancement potential than conventional convolution. Specifically, we will use the biorthogonal wavelet transform or one of several overcomplete wavelet transforms to enhance chromosome images to bring out the relevant detail in the banding pattern while discriminating against components reflecting preparatory artifact, inter-chromosome variation, and other nongenetic differences. We will develop wavelet transform software that can, under operator control, selectively enhance image detail of different size and orientation, and display the result. We will implement this new capability on PSII's PowerGene commercial automatic karyotyping workstation, both on new systems and as an upgrade to existing units, thereby making it broadly available to the cytogenetics community. PROPOSED COMMERCIAL APPLICATION: As soon as the analysis is developed and qualified for routine application, it will be incorporated into PSII's PowerGene products, both in new systems sold and as an upgrade to existing systems in the field.