Lou S L, Lin H D, Lin K P, Hoogstrate D
Laboratory for Radiological Informatics, Department of Radiology, University of California, San Francisco, 530 Parnassus Avenue, San Francisco, CA 94143-0628, USA.
Comput Med Imaging Graph. 2000 Jul-Aug;24(4):205-20. doi: 10.1016/s0895-6111(00)00009-4.
High spatial resolution results in very large digital mammogram file sizes. For telemammography, and picture archiving and communication systems, the large file issue introduces technical difficulties in image transmission, storage, and display. We propose extracting the breast region from the mammogram to reduce the image file size. The challenge is on how to faithfully extract breast regions from digital mammograms generated from different types of acquisition systems that contain various imaged compositions. We report an algorithm to automatically identify the orientation of breast region and extract the breast region from mammograms. Breast regions extracted from full-field digital mammograms reduce file sizes by three to five folds.
高空间分辨率导致数字乳腺X线摄影文件尺寸非常大。对于远程乳腺摄影以及图像存档与通信系统而言,大文件问题给图像传输、存储和显示带来了技术难题。我们建议从乳腺X线摄影图像中提取乳房区域以减小图像文件大小。挑战在于如何从包含各种成像成分的不同类型采集系统生成的数字乳腺X线摄影图像中准确提取乳房区域。我们报告了一种算法,可自动识别乳房区域的方向并从乳腺X线摄影图像中提取乳房区域。从全场数字乳腺X线摄影图像中提取的乳房区域可将文件大小减小三到五倍。