GENERALIZED SPHERICAL DECONVOLUTION IN DIFFUSION MAGNETIC RESONANCE IMAGING
    12.
    发明申请
    GENERALIZED SPHERICAL DECONVOLUTION IN DIFFUSION MAGNETIC RESONANCE IMAGING 审中-公开
    扩散磁共振成像中的广义球形解卷积

    公开(公告)号:US20160334489A1

    公开(公告)日:2016-11-17

    申请号:US14711650

    申请日:2015-05-13

    CPC分类号: G01R33/56341 G01R33/5608

    摘要: A magnetic resonance imaging method includes generating spatially resolved fiber orientation distributions (FODs) from magnetic resonance signals acquired from a patient tissue using a plurality of diffusion encodings, each acquired magnetic resonance signal corresponding to one of the diffusion encodings and being representative of a three-dimensional distribution of displacement of magnetic spins of gyromagnetic nuclei present in each imaging voxel. Generating the spatially resolved FODs includes performing generalized spherical deconvolution using the acquired magnetic resonance signals and a modeled tissue response matrix (TRM) to reconstruct the spatially resolved FODs. The method also includes using the spatially resolved FODs to generate a representation of fibrous tissue within the patient tissue.

    摘要翻译: 磁共振成像方法包括使用多个扩散编码从从患者组织获取的磁共振信号产生空间分辨纤维取向分布(FOD),每个获得的磁共振信号对应于一个扩散编码,并且代表三维 每个成像体素中存在的回旋磁核的磁自旋的位移的尺寸分布。 生成空间分辨的FOD包括使用获取的磁共振信号和建模的组织响应矩阵(TRM)来执行广义的球形去卷积以重构空间分辨的FOD。 该方法还包括使用空间分辨的FOD来产生患者组织内的纤维组织的表示。

    Systems and methods for image segmentation using a deformable atlas
    13.
    发明授权
    Systems and methods for image segmentation using a deformable atlas 有权
    使用可变形图集的图像分割的系统和方法

    公开(公告)号:US09208572B2

    公开(公告)日:2015-12-08

    申请号:US14032877

    申请日:2013-09-20

    IPC分类号: G06K9/00 G06K9/34 G06T7/00

    摘要: Systems and methods for image segmentation using a deformable atlas are provided. One method includes obtaining one or more target images, obtaining one or more propagated label probabilities for the one or more target images, and segmenting the one or more target images using a cost function of a deformable atlas model. The method further includes identifying segmented structures within the one or more target images based on the segmented one or more target images.

    摘要翻译: 提供了使用可变形图案的图像分割的系统和方法。 一种方法包括获得一个或多个目标图像,为一个或多个目标图像获得一个或多个传播的标签概率,以及使用可变形图集模型的成本函数对一个或多个目标图像进行分割。 该方法还包括基于分割的一个或多个目标图像来识别所述一个或多个目标图像内的分段结构。

    Complex reconstruction of Q-space for simultaneous detection of coherent and incoherent motion
    14.
    发明授权
    Complex reconstruction of Q-space for simultaneous detection of coherent and incoherent motion 有权
    Q空间的复杂重建,用于同时检测相干和非相干运动

    公开(公告)号:US08908951B2

    公开(公告)日:2014-12-09

    申请号:US13728871

    申请日:2012-12-27

    IPC分类号: G06K9/00 G06T7/00

    CPC分类号: G01R33/56341

    摘要: A magnetic resonance (MR) imaging method includes acquiring MR signals having phase and magnitude at q-space locations using a diffusion sensitizing pulse sequence performed on a tissue of interest, wherein the acquired signals each include a set of complex Fourier encodings representing a three-dimensional displacement distribution of the spins in a q-space location. The signals each include information relating to coherent motion and incoherent motion in the q-space location. The method also includes determining a contribution by coherent motion to the phase of the acquired MR signals; removing the phase contribution attributable to coherent motion from the acquired MR signals to produce a complex data set for each q-space location and an image of velocity components for each q-space location; and producing a three-dimensional velocity image from the image of the velocity components.

    摘要翻译: 磁共振(MR)成像方法包括使用在感兴趣的组织上执行的扩散增感脉冲序列获取在q空间位置具有相位和幅度的MR信号,其中所获取的信号各自包括一组代表三维空间的复数傅里叶编码, 在q空间位置的自旋的三维位移分布。 每个信号包括与q空间位置中的相干运动和非相干运动有关的信息。 该方法还包括通过相干运动确定所获取的MR信号的相位的贡献; 从所获取的MR信号去除归因于相干运动的相位贡献,以产生用于每个q空间位置的复数据集合和用于每个q空间位置的速度分量的图像; 并根据速度分量的图像产生三维速度图像。

    SYSTEMS AND METHODS FOR IMAGE SEGMENTATION USING TARGET IMAGE INTENSITY
    15.
    发明申请
    SYSTEMS AND METHODS FOR IMAGE SEGMENTATION USING TARGET IMAGE INTENSITY 有权
    使用目标图像强度的图像分割的系统和方法

    公开(公告)号:US20140226889A1

    公开(公告)日:2014-08-14

    申请号:US14177414

    申请日:2014-02-11

    IPC分类号: G06T7/00

    摘要: The system and method of the invention combines target image intensity into a maximum likelihood estimate (MLE) framework as in STAPLE to take advantage of both intensity-based segmentation and statistical label fusion based on atlas consensus and performance level, abbreviated iSTAPLE. The MLE framework is then solved using a modified expectation-maximization algorithm to simultaneously estimate the intensity profiles of structures of interest as well as the true segmentation and atlas performance level. The iSTAPLE greatly extends the use of atlases such that the target image need not have the same image contrast and intensity range as the atlas images.

    摘要翻译: 本发明的系统和方法将目标图像强度与STAPLE中的最大似然估计(MLE)框架相结合,以利用基于图集共识和性能水平(简称为iSTAPLE)的基于强度的分割和统计标签融合。 然后使用修改的期望最大化算法来解决MLE框架,以同时估计感兴趣的结构的强度分布以及真实的分段和图谱性能水平。 iSTAPLE大大扩展了地图集的使用,使得目标图像不需要具有与图集图像相同的图像对比度和强度范围。

    Method and systems for iteratively reconstructing multi-shot, multi-acquisition MRI data

    公开(公告)号:US10551458B2

    公开(公告)日:2020-02-04

    申请号:US15637708

    申请日:2017-06-29

    IPC分类号: G01R33/48 G01R33/56

    摘要: A magnetic resonance (MR) imaging method performed by an MR imaging system includes acquiring MR data in multiple shots and multiple acquisitions (NEX), separately reconstructing the component magnitude and phase of images corresponding to the multiple shots and multiple NEX, removing the respective phase from each of the images, and combining, after removal of the respective phase, the shot images and the NEX images to produce a combined image. The method further includes using the combined image to calculate the full k-space data for each shot and NEX and replacing unacquired k-space data points with calculated k-space data points. The operations are repeated until the combined image reaches a convergence.

    Systems and methods for self-calibrated, nonlinear phase contrast correction of magnetic resonance images

    公开(公告)号:US09689950B2

    公开(公告)日:2017-06-27

    申请号:US14272756

    申请日:2014-05-08

    IPC分类号: G01R33/563 G01R33/56

    CPC分类号: G01R33/56316 G01R33/5607

    摘要: A system and method of self-calibrated correction for residual phase in phase-contrast magnetic resonance (PCMR) imaging data. The method includes receiving PCMR image data from an MR scanner system, segmenting static tissue from non-static cardiovascular elements of the image data, calculating a non-linear fitted-phase basis function, the non-linear fitted-phase basis function based on system artifacts of the PCMR system, adding the non-linear fitted-phase basis function to linear fit terms, and subtracting the result of the adding step from the PCMR imaging data. The system includes a PCMR scanning apparatus configured to provide PCMR image data, a scanner control circuit configured to control the scanning apparatus during image acquisition, the scanner control circuitry in communication with a control processor, the control processor configured to execute computer-readable instructions that cause the control processor to perform the method. A non-transitory computer-readable medium is also disclosed.

    SYSTEM AND METHOD FOR MEDICAL IMAGE CORRECTION
    20.
    发明申请
    SYSTEM AND METHOD FOR MEDICAL IMAGE CORRECTION 有权
    用于医学图像校正的系统和方法

    公开(公告)号:US20160071269A1

    公开(公告)日:2016-03-10

    申请号:US14478597

    申请日:2014-09-05

    摘要: A method implemented using at least one processor includes receiving a target image and a reference image. The target image is a distorted magnetic resonance image and the reference image is an undistorted magnetic resonance image. The method further includes selecting an image registration method for registering the target image to the reference image, wherein the image registration method uses an image transformation. The method further includes performing image registration of the target image with the reference image, wherein the image registration provides a plurality of optimized parameters of the image transformation. The method also includes generating a corrected image based on the target image and the plurality of optimized parameters of the image transformation.

    摘要翻译: 使用至少一个处理器实现的方法包括接收目标图像和参考图像。 目标图像是失真的磁共振图像,参考图像是未失真的磁共振图像。 该方法还包括选择用于将目标图像登记到参考图像的图像配准方法,其中图像配准方法使用图像变换。 该方法还包括用参考图像执行目标图像的图像配准,其中图像配准提供图像变换的多个优化参数。 该方法还包括基于目标图像和图像变换的多个优化参数生成校正图像。