公开(公告)号：US20050171409A1

公开(公告)日：2005-08-04

申请号：US10767342

申请日：2004-01-30

申请人： Hidetaka Arimura ,  Feng Li ,  Junji Shiraishi ,  Kunio Doi

发明人： Hidetaka Arimura ,  Feng Li ,  Junji Shiraishi ,  Kunio Doi

IPC分类号： G06T7/00 ,  G21K1/12 ,  H05G1/60

CPC分类号： G06T7/0012 ,  G06T2207/30061

摘要： A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values. True-positive nodules are identified using linear discriminant analysis and/or a Multi-MTANN.

摘要翻译： 一种用于检测受试者的医学图像中的至少一个结节的方法，系统和计算机程序产品，包括在医学图像中识别对应于感兴趣器官的至少一部分的解剖区域; 过滤医学图像以获得差异图像; 在所述差分图像中检测所述解剖区域内的第一多个结节候选物; 基于所述医学图像和所述差分图像中的至少一个的像素值来计算所述第一多个结节候选的各个结节特征值; 基于各个结节特征值从所述第一多个结节候选中去除假阳性结节候选，以获得第二多个结节候选; 以及基于像素值和相应结节特征值中的至少一个，将所述第二多个结节候选中的每一个分类为结节或非结节来确定所述至少一个结节。 使用线性判别分析和/或多MTANN识别真阳性结节。

公开(公告)号：US20080298657A1

公开(公告)日：2008-12-04

申请号：US12094161

申请日：2006-11-22

申请人： Junji Shiraishi ,  Kunio Doi ,  Daniel Appelbaum ,  Yonglin Pu ,  Qiang Li

发明人： Junji Shiraishi ,  Kunio Doi ,  Daniel Appelbaum ,  Yonglin Pu ,  Qiang Li

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T5/50 ,  G06T7/32 ,  G06T2207/30008

摘要： A method of producing an image to aid detection of a change in progress of a disease in a patient is described. In the method, a first image of a distribution of a radioisotope in the patient is obtained. A second image of the distribution of the radioisotope in the patient is also obtained. At least one of the first and second images are then normalized (1:140). One of the images is warped to match the other image using a multiple-segment matching method (1:160). The first image is subtracted from the second image to form a subtraction image (1:220). Finally, the resulting subtraction image is displayed.

摘要翻译： 描述了一种产生图像以帮助检测患者疾病进展变化的方法。 在该方法中，获得患者中放射性同位素分布的第一图像。 还获得了患者中放射性同位素分布的第二图像。 然后对第一和第二图像中的至少一个进行归一化（1：140）。 使用多段匹配方法（1：160），其中一个图像被扭曲以匹配其他图像。 从第二图像中减去第一图像以形成减影图像（1:220）。 最后，显示所得的减法图像。

公开(公告)号：US07305111B2

公开(公告)日：2007-12-04

申请号：US10767342

申请日：2004-01-30

申请人： Hidetaka Arimura ,  Feng Li ,  Junji Shiraishi ,  Kunio Doi

发明人： Hidetaka Arimura ,  Feng Li ,  Junji Shiraishi ,  Kunio Doi

IPC分类号： G21K1/12 ,  G06K9/00

CPC分类号： G06T7/0012 ,  G06T2207/30061

摘要： A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values. True-positive nodules are identified using linear discriminant analysis and/or a Multi-MTANN.

摘要翻译： 一种用于检测受试者的医学图像中的至少一个结节的方法，系统和计算机程序产品，包括在医学图像中识别对应于感兴趣器官的至少一部分的解剖区域; 过滤医学图像以获得差异图像; 在所述差分图像中检测所述解剖区域内的第一多个结节候选物; 基于所述医学图像和所述差分图像中的至少一个的像素值来计算所述第一多个结节候选的各个结节特征值; 基于各个结节特征值从所述第一多个结节候选中去除假阳性结节候选，以获得第二多个结节候选; 以及基于像素值和相应结节特征值中的至少一个，将所述第二多个结节候选中的每一个分类为结节或非结节来确定所述至少一个结节。 使用线性判别分析和/或多MTANN识别真阳性结节。