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    • 12. 发明申请
    • SYSTEM AND METHOD FOR ESTIMATING SYNTHETIC QUANTITATIVE HEALTH VALUES FROM MEDICAL IMAGES
    • 用于从医学图像估计合成定量健康值的系统和方法
    • WO2018014108A1
    • 2018-01-25
    • PCT/CA2016/050871
    • 2016-07-22
    • UNIVERSITÉ LAVALMCGILL UNIVERSITY
    • DUCHESNE, SimonGRAVEL, PierreCOLLINS, Louis
    • G06T7/00A61B5/00G06T7/60
    • A computer-implemented method, an apparatus, and a system for estimating synthetic values of quantitative metrics are provided. They involve calculating new, more accurate boundaries using a classifier based on local intensity and spatial estimators, for the segmentation mask provided by a non- local means patch-based segmentation in a test image, and estimating for the pixels of interest at least one synthetic value of a quantitative metric using a given value of the quantitative metric assigned to the reference images and the boundaries. The method, apparatus, and system provide the advantage of generating synthetic values directly comparable against known values for given subjects or against predetermined scales for diagnostic or prognostic purposes. In the specific case of Alzheimer's disease, the invention stretches the predictive range up to two full decades, which constitutes a significant advance in the field of medical diagnostics.
    • 提供了用于估计定量度量的合成值的计算机实现的方法,装置和系统。 它们涉及使用基于局部强度和空间估计量的分类器计算新的更准确的边界,用于由测试图像中的非局部平均基于块基的分割提供的分割掩模,并且针对感兴趣的像素估计至少一个合成 使用分配给参考图像和边界的定量度量的给定值的定量度量的值。 所述方法,装置和系统提供了产生合成值的优点,所述合成值与针对给定受试者的已知值或针对诊断或预后目的的预定比例直接可比较。 在阿尔茨海默病的具体病例中,本发明将预测范围延长至两个十年,这构成了医学诊断领域的重大进步。
    • 20. 发明申请
    • QUALITY CONTROL AND ASSURANCE OF IMAGES
    • 质量控制和图像保证
    • WO2013000081A1
    • 2013-01-03
    • PCT/CA2012/050427
    • 2012-06-26
    • UNIVERSITÉ LAVALDUCHESNE, SimonVALDIVIA, FernandoCREPAULT, Burt
    • DUCHESNE, SimonVALDIVIA, FernandoCREPAULT, Burt
    • G06T5/00A61B5/055G01R33/56
    • G06K9/6262G06T7/0002G06T7/0014G06T2207/10088G06T2207/20076G06T2207/20081G06T2207/30016G06T2207/30168
    • Applicants have discovered a multi-layer quality control / quality assurance system that provides higher quality data, without human intervention, by rejecting images that do not achieve a pre-determined quality threshold. In some embodiments of the present invention, there is provided a new method of processing an image from a data set through a pipeline wherein quality control/assurance allows to determine a quality of the image processing, the method comprising; receiving a test image; pre- processing the test image; registering the test image to a reference image; calculating a test image quality using a correlation of image intensity values between corresponding locations of the test image and the reference image; providing a plurality of training images and calculating training image quality distribution statistics for the training images with respect to the reference image; and relating the test image quality to the training image quality distribution.
    • 申请人已经发现了一个多层质量控制/质量保证体系,通过拒绝没有达到预定质量阈值的图像,无需人为干预就能提供更高质量的数据。 在本发明的一些实施例中,提供了一种通过管线处理来自数据集的图像的新方法,其中质量控制/确认允许确定图像处理的质量,该方法包括: 接收测试图像; 预处理测试图像; 将测试图像注册到参考图像; 使用测试图像的对应位置与参考图像之间的图像强度值的相关性来计算测试图像质量; 提供多个训练图像并计算训练图像相对于参考图像的训练图像质量分布统计; 并将测试图像质量与训练图像质量分布相关联。