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    • 2. 发明授权
    • Content-based image compression
    • 基于内容的图像压缩
    • US08345991B2
    • 2013-01-01
    • US11725385
    • 2007-03-19
    • David Thomas GeringJohn David HofordDavid Matthew DeavenGopal Biligeri Avinash
    • David Thomas GeringJohn David HofordDavid Matthew DeavenGopal Biligeri Avinash
    • G06K9/36G06K9/46G06K9/34
    • H04N19/17H04N19/12H04N19/132H04N19/154
    • A technique for selecting portions of a multi-resolution medical image data set to be stored and the portions of the multi-resolution medical image data set to be discarded in order to reduce the overall amount of image data that is stored for each image data set. The selection is based on the clinical purpose for obtaining the medical image data. The clinical purpose for obtaining the medical image is used to select a segmentation algorithm to segment the image data into several regions based on their relevance to the purpose for obtaining the image data. A mask is created from the segmented data. The mask is used to assign data compression quality factors to corresponding regions in the image data. The image data in each region is compressed based on their assigned quality factor. The image data that is highly relevant is compressed with lossless data compression. The image data in regions of lesser relevance are compressed with lossy data compression. The image data that is of no relevance for the purpose that the image data was obtained is discarded.
    • 一种用于选择要存储的多分辨率医学图像数据集的部分和要被丢弃的多分辨率医学图像数据集的部分的技术,以便减少针对每个图像数据集存储的图像数据的总量 。 该选择基于用于获得医学图像数据的临床目的。 用于获得医学图像的临床目的是用于选择分割算法,以根据与获得图像数据的目的的相关性将图像数据分割成若干区域。 从分段数据创建掩码。 该掩码用于将数据压缩质量因子分配给图像数据中的相应区域。 每个区域的图像数据根据其分配的质量因子进行压缩。 高度相关的图像数据通过无损数据压缩进行压缩。 相关性较低的区域中的图像数据会通过有损数据压缩进行压缩。 与获得图像数据的目的无关的图像数据被丢弃。
    • 5. 发明申请
    • Content-based image compression
    • 基于内容的图像压缩
    • US20080232701A1
    • 2008-09-25
    • US11725385
    • 2007-03-19
    • David Thomas GeringJohn David HofordDavid Matthew DeavenGopal Biligeri Avinash
    • David Thomas GeringJohn David HofordDavid Matthew DeavenGopal Biligeri Avinash
    • G06K9/36
    • H04N19/17H04N19/12H04N19/132H04N19/154
    • A technique for selecting portions of a multi-resolution medical image data set to be stored and the portions of the multi-resolution medical image data set to be discarded in order to reduce the overall amount of image data that is stored for each image data set. The selection is based on the clinical purpose for obtaining the medical image data. The clinical purpose for obtaining the medical image is used to select a segmentation algorithm to segment the image data into several regions based on their relevance to the purpose for obtaining the image data. A mask is created from the segmented data. The mask is used to assign data compression quality factors to corresponding regions in the image data. The image data in each region is compressed based on their assigned quality factor. The image data that is highly relevant is compressed with lossless data compression. The image data in regions of lesser relevance are compressed with lossy data compression. The image data that is of no relevance for the purpose that the image data was obtained is discarded.
    • 一种用于选择要存储的多分辨率医学图像数据集的部分和要被丢弃的多分辨率医学图像数据集的部分的技术,以便减少针对每个图像数据集存储的图像数据的总量 。 该选择基于用于获得医学图像数据的临床目的。 用于获得医学图像的临床目的是用于选择分割算法,以根据与获得图像数据的目的的相关性将图像数据分割成若干区域。 从分段数据创建掩码。 该掩码用于将数据压缩质量因子分配给图像数据中的相应区域。 每个区域的图像数据根据其分配的质量因子进行压缩。 高度相关的图像数据通过无损数据压缩进行压缩。 相关性较低的区域中的图像数据会通过有损数据压缩进行压缩。 与获得图像数据的目的无关的图像数据被丢弃。