WAVELET ENHANCEMENT OF CHROMOSOME BANDING PATTERNS

该项目旨在开发和商业化显着改善 染色体显带细节数字增强软件 微观图像中的模式。 最近发展的小波变换和 多分辨率图像分析技术，与现代计算机 染色体分析，承诺改善增强和方便显示 的染色体带型，更有效的视觉比较， 正常和异常的原型和彼此的染色体。这将 帮助临床医生和研究人员检测以前的亚可见带模式 改变常规和高分辨率条带。它将 显著提高染色体自动分析能力 辅助临床评估染色体改变的仪器 在正常和肿瘤性哺乳动物细胞中。 它是通过卷积滤波来增强图像， 高质量的数字图像记录仪，首次实现了计算机化核型分析 几乎在十年前就已经变得实用了。多分辨率图像处理 提供了比线性滤波更大的潜力， 图像增强，以充分利用分辨率有限的光线 显微镜图像近年来发展起来的小波变换理论， 早期的结果都强烈表明，这些技术提供了更多的 比传统卷积增强潜力。 具体地，我们将使用双正交小波变换或以下之一： 几个过完备小波变换，以增强染色体图像， 鉴别时带型中的相关细节 针对反映预备伪影的组分，染色体间 变异和其他非遗传差异。我们将开发小波 转换软件，可以在操作员的控制下， 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，无论是在新的系统和升级 现有的单位，从而使其广泛适用于细胞遗传学 社区 建议的商业应用：一旦分析开发完成， 符合常规应用条件的，将纳入PSII的 PowerGene产品，无论是在新的系统销售，并作为升级到现有的 系统在外地。

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.