High-performance wavelet compression for mammography: localization response operating characteristic evaluation.
High-performance wavelet compression for mammography: localization response operating characteristic evaluation.
复制标题
用于乳腺X线摄影的高性能小波压缩：定位响应操作特性评估。
DOI：
10.1148/radiol.2381040896
复制
发表时间：
2006
期刊：
影响因子：
19.7
通讯作者：
Clark,RobertA
中科院分区：
文献类型：
--
作者：
Kallergi,Maria;Lucier,BradleyJ;Berman,ClaudiaG;Hersh,MarlaR;Kim,JihaiJ;Szabunio,MargaretS;Clark,RobertA
目的：评估一种视觉无损、图像自适应、基于小波的压缩方法在乳房摄影中实现高压缩比的准确性。材料和方法：这项研究得到了南佛罗里达大学机构审查委员会的批准，是一项利用现有医疗记录进行的研究性研究，不受个别患者同意的要求。所有图像上的患者标识都被删除了。这项研究符合HIPAA标准。提出了一种基于双正交小波系数尺度特定量化的高空间和动态分辨率数字化乳腺X光图像压缩算法。该方法被应用于来自278名年龄在32-85岁之间的患者的500张正常和异常的乳房X光照片，其中85人经活检证实患有癌症。胶片图像用基于电荷耦合器件的数字化仪进行数字化。对原始图像和压缩后的图像进行定位响应操作特性实验。结果：压缩比为14：1~2051：1，压缩比与乳腺实质密度和乳房结构类型有关。原始图像和压缩重建图像的受试者工作特征曲线下面积范围分别为0.70~0.83和0.72~0.86。原片和压缩重建片定位反应操作特征曲线下面积范围分别为0.39~0.65和0.43~0.71。压缩后定位准确率平均提高6%(0.04/0.67)。定位性能差异有统计学意义，P=.05，并有利于对小波压缩重建图像的解释。结论：测试的基于小波的压缩方法被证明是一种准确的数字化乳腺摄影方法，并产生了视觉无损的高比率压缩和改进的肿瘤定位。
Purpose:To evaluate the accuracy of a visually lossless, image-adaptive, wavelet-based compression method for achievement of high compression rates at mammography.Materials and Methods:The study was approved by the institutional review board of the University of South Florida as a research study with existing medical records and was exempt from individual patient consent requirements. Patient identifiers were obliterated from all images. The study was HIPAA compliant. An algorithm based on scale-specific quantization of biorthogonal wavelet coefficients was developed for the compression of digitized mammograms with high spatial and dynamic resolution. The method was applied to 500 normal and abnormal mammograms from 278 patients who were 32–85 years old, 85 of whom had biopsy-proved cancer. Film images were digitized with a charge-coupled device–based digitizer. The original and compressed reconstructed images were evaluated in a localization response operating characteristic experiment involving three radiologists with 2–10 years of experience in reading mammograms.Results:Compression rates in the range of 14:1 to 2051:1 were achieved, and the rates were dependent on the degree of parenchymal density and the type of breast structure. Ranges of the area under the receiver operating characteristic curve were 0.70–0.83 and 0.72–0.86 for original and compressed reconstructed mammograms, respectively. Ranges of the area under the localization response operating characteristic curve were 0.39–0.65 and 0.43–0.71 for original and compressed reconstructed mammograms, respectively. The localization accuracy increased an average of 6% (0.04 of 0.67) with the compressed mammograms. Localization performance differences were statistically significant withP= .05 and favored interpretation with the wavelet-compressed reconstructed images.Conclusion:The tested wavelet-based compression method proved to be an accurate approach for digitized mammography and yielded visually lossless high-rate compression and improved tumor localization.© RSNA, 2006