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    SYSTEM AND METHOD FOR MEDICAL IMAGE RECONSTRUCTION AND IMAGE SERIES DENOISING USING LOCAL LOW RANK PROMOTION
    23.
    发明申请
    SYSTEM AND METHOD FOR MEDICAL IMAGE RECONSTRUCTION AND IMAGE SERIES DENOISING USING LOCAL LOW RANK PROMOTION 有权
    医学图像重构系统与方法及使用本地低排名推广的图像系列

    公开(公告)号：US20130182930A1

    公开(公告)日：2013-07-18

    申请号：US13743465

    申请日：2013-01-17

    申请人： Joshua D. Trzasko ,  Armando Manduca

    发明人： Joshua D. Trzasko ,  Armando Manduca

    IPC分类号： G06T11/00

    CPC分类号： G06T11/003 ,  G06T11/006 ,  G06T2211/412 ,  G06T2211/424

    摘要： A method for reconstructing a time series of images from data acquired with a medical imaging system is provided. Data is acquired with the medical imaging system, and a set of image blocks that defines the location and size of each of a plurality of image blocks in the image domain is then selected. The acquired data and selected image block set are then used to jointly estimate a plurality of images that form a time series of images while promoting locally-low rank structure in the images.

    摘要翻译： 提供了一种用于从用医学成像系统获取的数据重建图像的时间序列的方法。 然后，利用医学成像系统获取数据，然后选择定义图像域中的多个图像块中的每一个的位置和大小的一组图像块。 所获取的数据和所选择的图像块集合然后用于联合估计形成图像的时间序列的多个图像，同时促进图像中的局部低秩结构。

    Correcting subject motion in multiple resolutions in magnetic resonance imaging
    24.
    发明授权
    Correcting subject motion in multiple resolutions in magnetic resonance imaging 失效
    在磁共振成像中校正多个分辨率的主题运动

    公开(公告)号：US08396267B2

    公开(公告)日：2013-03-12

    申请号：US12612105

    申请日：2009-11-04

    申请人： David S. Lake ,  Armando Manduca ,  Jeffrey S. McAllister ,  Timothy J. Mullins ,  Nelson Ramirez

    发明人： David S. Lake ,  Armando Manduca ,  Jeffrey S. McAllister ,  Timothy J. Mullins ,  Nelson Ramirez

    IPC分类号： G06K9/00

    CPC分类号： A61B5/055 ,  A61B5/7207 ,  A61B5/7257

    摘要： Systems, methods and articles of manufacture are disclosed for compensating for motion of a subject during an MRI scan of the subject. k-space data may be received from the MRI scan of the subject. A first graphical image may be generated from a first set of data elements from the k-space data. Similarly, a second graphical image may be generated from a second set of data elements from the k-space data. An offset in pixels may be determined by which to translate the second graphical image from the first graphical image to compensate for the motion. The k-space data may be modified at a sub-pixel offset relative to the determined offset. A motion-compensated graphical image of the subject may be generated from the modified k-space data. Doing so reduces the search space evaluated to sharpen images generated from the k-space data.

    摘要翻译： 公开了用于在对象的MRI扫描期间补偿对象的运动的系统，方法和制品。 可以从对象的MRI扫描接收k空间数据。 可以从k空间数据的第一组数据元素生成第一图形图像。 类似地，可以从k空间数据的第二组数据元素生成第二图形图像。 像素中的偏移量可以由第一图形图像的第二图形图像转换为补偿运动来确定。 可以在相对于所确定的偏移的子像素偏移处修改k空间数据。 可以从修改的k空间数据生成被摄体的运动补偿图形图像。 这样做减少了评估的搜索空间，以锐化从k空间数据生成的图像。

    Projection-Space Denoising with Bilateral Filtering in Computed Tomography
    25.
    发明申请
    Projection-Space Denoising with Bilateral Filtering in Computed Tomography 有权
    计算机断层扫描中双边滤波的投影空间去噪

    公开(公告)号：US20110286651A1

    公开(公告)日：2011-11-24

    申请号：US13145461

    申请日：2010-02-19

    申请人： Lifeng Yu ,  Armando Manduca ,  Joshua Tizasko ,  Joel G. Fletcher

    发明人： Lifeng Yu ,  Armando Manduca ,  Joshua Tizasko ,  Joel G. Fletcher

    IPC分类号： G06K9/00

    CPC分类号： G06T11/005 ,  G06T2207/20028

    摘要： Projection data acquired with an x-ray CT system is filtered using a bilateral filter to reduce image noise and enable the acquisition at lower x-ray dose without the loss of image diagnostic quality. The bilateral filtering is performed before image reconstruction by producing a noise equivalent data set from the acquired projection data and then converting the bilateral filtered values back to a projection data set suitable for image reconstruction.

    摘要翻译： 用x射线CT系统获取的投影数据使用双边滤波器进行滤波，以降低图像噪声，并能够在较低X射线剂量下进行采集，而不会损失图像诊断质量。 通过从获取的投影数据产生噪声等效数据集，然后将双边滤波值转换回适合于图像重建的投影数据集，在图像重构之前执行双边滤波。

    ELECTRONIC STOOL SUBTRACTION USING QUADRATIC REGRESSION AND INTELLIGENT MORPHOLOGY
    26.
    发明申请
    ELECTRONIC STOOL SUBTRACTION USING QUADRATIC REGRESSION AND INTELLIGENT MORPHOLOGY 有权
    使用四次回归和智能形态学的电子沉降

    公开(公告)号：US20100128036A1

    公开(公告)日：2010-05-27

    申请号：US12523484

    申请日：2008-01-22

    申请人： C. Daniel Johnson ,  Michael J. Carston ,  Armando Manduca

    发明人： C. Daniel Johnson ,  Michael J. Carston ,  Armando Manduca

    IPC分类号： G06T17/00 ,  G06K9/00

    CPC分类号： G06T7/0012 ,  G06T5/50 ,  G06T7/12 ,  G06T2207/10081 ,  G06T2207/30028

    摘要： An improved method for processing image voxel data representative of 3-dimensional images of a colon to remove the effects of tagged stool. The method uses parabolic curve intensity-gradient models at a transition between two material types as a function of the fraction of the two materials for each of a plurality of two-material type classes, including a gas-tissue transition model, a gas-stool transition model and a stool-tissue transition model. The voxels are classified into one of a plurality of substance classes including tagged stool, gas, tissue and unknown classes. The unknown class voxels are processed to classify the unknown class voxels into one of the two-material type classes. The two-material type class voxels are processed to determine the fractions of materials in each voxel. The intensity of the two-material type class voxels is then adjusted as a function of the fraction of the materials in the voxels.

    摘要翻译： 用于处理表示结肠的3维图像的图像体素数据以改善标记的粪便的效果的改进方法。 该方法在两种材料类型之间的过渡处使用抛物线曲线强度梯度模型作为两种材料对于多种双材料类型中的每一种的分数的函数，包括气体组织转变模型，气体粪便 过渡模型和大便组织转移模型。 体素分为多种物质类别之一，包括标记的粪便，气体，组织和未知类别。 处理未知类体素以将未知类体素分类为双材质类之一。 处理双材料类型体素以确定每个体素中材料的分数。 然后将两材料类型体素的强度作为体素中材料分数的函数进行调整。

    Motion correction of magnetic resonance images using moments of spatial projections
    27.
    发明授权
    Motion correction of magnetic resonance images using moments of spatial projections 有权
    使用空间投影矩的运动校正磁共振图像

    公开(公告)号：US07457655B2

    公开(公告)日：2008-11-25

    申请号：US10962105

    申请日：2004-10-08

    申请人： Edward Brian Welch ,  Armando Manduca

    发明人： Edward Brian Welch ,  Armando Manduca

    IPC分类号： A61B5/05

    CPC分类号： G01R33/561 ,  G01R33/4824 ,  G01R33/56509

    摘要： Magnetic resonance images reconstructed from a radial/projection acquisition are corrected for motion corruption caused by in-plane translational and in-plane rotational motion of an imaged subject using only the projection data itself. The method is based on the consistency properties of the 0th, 1st, and 2nd order moments of the spatial domain projections. In-plane translational motion is corrected by shifting/aligning the spatial projections according to the center of mass of each projection, which is calculated using the 0th and 1st moments. In-plane rotational motion is accounted for by determining the rotational motion time record using the 2nd moment information. The determination of the rotational motion time record using the 2nd moments is made possible by acquiring the successive MR projections at a view angle spacing that is substantially 45° and thus achieves sufficient linear independence. The translation-corrected spatial projections are reconstructed using the actual projection view angles, which are sum of the intended projection view angles plus the detected in-plane rotational motion time record. The calculation may also be performed in real-time during data acquisition in order to reacquire projections found to be too inconsistent due to through plane motion or other changes that are not in-plane rigid body motions or to acquire projections determined to be missing from the data set due to rotational motion.

    摘要翻译： 校正由径向/投影采集重构的磁共振图像，以便使用仅使用投影数据本身的成像对象的面内平移和面内旋转运动引起的运动损坏。 该方法基于空间域投影的第0，第1，第2，第2和第2阶顺序矩的一致性。 通过根据每个投影的质心移动/对准空间投影来校正平面内的平移运动，其使用第0和第1和第1秒的时刻计算。 通过使用2秒时刻信息确定旋转运动时间记录来说明平面内旋转运动。 通过以基本上为45°的视角间隔获取连续的MR投影，从而实现足够的线性独立性，使得可以通过使用2＆lt;＆lt;＆gt;力矩来确定旋转运动时间记录。 使用实际的投影视角来重建平移校正的空间投影，该投影视角是预期投影视角加上检测到的平面内旋转运动时间记录的总和。 计算也可以在数据采集期间实时执行，以便重新获取由于平面运动或不是平面内的刚体运动的其他变化而被发现太过分不一致的投影，或者获得确定为丢失的投影 由于旋转运动导致的数据集。

    Electronic Stool Subtraction in Ct Colonography
    28.
    发明申请
    Electronic Stool Subtraction in Ct Colonography 有权
    电子粪便减法在Ct结肠

    公开(公告)号：US20080273781A1

    公开(公告)日：2008-11-06

    申请号：US11816264

    申请日：2006-02-14

    申请人： Armando Manduca ,  Michael J. Carston ,  Robert J. Wentz ,  C. Daniel Johnson

    发明人： Armando Manduca ,  Michael J. Carston ,  Robert J. Wentz ,  C. Daniel Johnson

    IPC分类号： G06T7/20

    CPC分类号： G06T5/005 ,  G06T5/30 ,  G06T7/11 ,  G06T7/155 ,  G06T7/174 ,  G06T2207/10081 ,  G06T2207/20224 ,  G06T2207/30028

    摘要： A method for processing CT colonography input image voxel data representative of 3-dimensional images of a colon having gas and stool tagged with stool tagging agent, to remove the stool from the images. The input image voxel data is generated by an imaging instrument having a characteristic point spread function representative of instrument blurring. The point spread function of the instrument can be empirically determined, and the image data processed as a function of the point spread function to accurately identify and remove the tagged stool. In one embodiment of the invention, portions of the image data representative of the tagged stool and colon tissue are dilated as a function of the point spread function. In another embodiment, portions of the image data representative of the tagged stool are convolved with the point spread function to determine the fractional amount of stool present in the image portions, and the tagged stool subtracted by reducing the intensities of the associated portions of the image by an amount proportional to the fractional amount of stool present.

    摘要翻译： 一种用于处理CT结肠造影输入图像体素数据的方法，其代表具有标记有粪便标记剂的气体和粪便的结肠的3维图像，以从图像中去除粪便。 输入图像体素数据由具有代表仪器模糊的特征点扩散函数的成像仪生成。 仪器的点扩散函数可以根据经验确定，并且图像数据作为点扩散函数的函数进行处理，以准确识别和移除标记的粪便。 在本发明的一个实施例中，代表标记的粪便和结肠组织的图像数据的部分作为点扩散函数的函数被扩张。 在另一个实施例中，代表标记的凳子的图像数据的部分与点扩散函数进行卷积，以确定图像部分中存在的粪便的分数，并且通过降低图像的相关部分的强度来减去标记的粪便 通过与存在的粪便的分数量成比例的量。