Determining Electrical Properties of Tissue Using Complex Magnetic Resonance Images
    11.
    发明申请
    Determining Electrical Properties of Tissue Using Complex Magnetic Resonance Images 有权
    使用复杂磁共振图像确定组织的电学性质

    公开(公告)号:US20140103925A1

    公开(公告)日:2014-04-17

    申请号:US13652155

    申请日:2012-10-15

    CPC classification number: G01R33/48 A61B5/055

    Abstract: Exemplary embodiments are directed to estimating an electrical property of tissue using Magnetic Resonance (MR) images. In exemplary embodiments, complex MR images of a target tissue are obtained. An estimated value of an electrical property of the target tissue is determined based on complex values of the pixels in the complex MR images. The complex values are proportional to the product of the transmit radio frequency magnetic field and the receive RF magnetic field.

    Abstract translation: 示例性实施例涉及使用磁共振(MR)图像估计组织的电性质。 在示例性实施例中,获得目标组织的复杂MR图像。 基于复数MR图像中的像素的复数值来确定目标组织的电特性的估计值。 复数值与发射射频磁场和接收RF磁场的乘积成比例。

    System and method for predicting an excitation pattern of a deep brain stimulation

    公开(公告)号:US10390766B2

    公开(公告)日:2019-08-27

    申请号:US15406907

    申请日:2017-01-16

    Abstract: A system and method for predicting an excitation pattern of a deep brain stimulation (DBS) from monitored bioelectrical signals includes an apparatus having a housing having a signal input and a signal output and an electrical circuit disposed within the housing. The electrical circuit is electrically coupled between the signal input and the signal output and is configured to receive bioelectrical signals corresponding to an excitation signal transmitted by a pulse generator during a DBS. The electrical circuit is also configured to convert the bioelectrical signals into digital logic pulses, predict a future timing pattern of the excitation signal from the digital logic pulses, and generate an output from the future timing pattern, the output comprising a log of time stamps predictive of future active transmission periods of neurological excitation.

    Determining electrical properties of tissue using complex magnetic resonance images
    15.
    发明授权
    Determining electrical properties of tissue using complex magnetic resonance images 有权
    使用复杂磁共振图像确定组织的电学性质

    公开(公告)号:US09513354B2

    公开(公告)日:2016-12-06

    申请号:US13652155

    申请日:2012-10-15

    CPC classification number: G01R33/48 A61B5/055

    Abstract: Exemplary embodiments are directed to estimating an electrical property of tissue using Magnetic Resonance (MR) images. In exemplary embodiments, complex MR images of a target tissue are obtained. An estimated value of an electrical property of the target tissue is determined based on complex values of the pixels in the complex MR images. The complex values are proportional to the product of the transmit radio frequency magnetic field and the receive RF magnetic field.

    Abstract translation: 示例性实施例涉及使用磁共振(MR)图像估计组织的电性质。 在示例性实施例中,获得目标组织的复杂MR图像。 基于复数MR图像中的像素的复数值来确定目标组织的电特性的估计值。 复数值与发射射频磁场和接收RF磁场的乘积成比例。

    COMPUTER-AIDED LESION DETECTION AND TRACK PLANNING FOR MRI-GUIDED BREAST BIOPSY
    16.
    发明申请
    COMPUTER-AIDED LESION DETECTION AND TRACK PLANNING FOR MRI-GUIDED BREAST BIOPSY 有权
    计算机辅助检查和跟踪计划用于MRI引导生物学

    公开(公告)号:US20160228104A1

    公开(公告)日:2016-08-11

    申请号:US14618316

    申请日:2015-02-10

    Abstract: The system and method of the invention pertains to an MR-guided breast biopsy procedure, specifically as to quickly identifying the biopsy location. More particularly, the system utilizes a diagnostic imaging modality such as magnetic resonance imaging (MRI) to locate one or more lesions in a human breast. Non-rigid registration between uncompressed screening images (where the lesion has been previously identified) and the compressed biopsy images enables easier identification of the biopsy site, hence shortening the biopsy procedure.

    Abstract translation: 本发明的系统和方法涉及MR指导的乳腺活检程序,具体地涉及快速识别活检位置。 更具体地,系统利用诸如磁共振成像(MRI)的诊断成像模式来定位人乳房中的一个或多个损伤。 未压缩筛选图像(其中已经识别出病变)与压缩的活检图像之间的非刚性配准使得能够更容易地识别活检部位,从而缩短活检程序。

    MRI SYSTEM FOR ROBOTICALLY ASSISTED BREAST BIOPSY
    17.
    发明申请
    MRI SYSTEM FOR ROBOTICALLY ASSISTED BREAST BIOPSY 审中-公开
    用于机器人辅助生物的MRI系统

    公开(公告)号:US20150335316A1

    公开(公告)日:2015-11-26

    申请号:US14285836

    申请日:2014-05-23

    Abstract: A breast biopsy system utilizing a needle biopsy device configured for guidance by a robotic guidance device into a treatment position wherein the needle tip is positioned adjacent target tissue in patient. The system including an MRI compatible device localization system adapted to track one or more points on the needle biopsy device and generate real-time device localization data. A Magnetic Resonance Imaging (MRI) system provides a multi-planar reference image data from the patient being treated. The MRI system is connected to the MRI compatible device localization system and operable to display an overlay image, reconstructed from the real-time device localization data, on the multi-planar reference image data which depicts the location of the needle biopsy device relative to the target tissue in the patient. A method of performing a breast biopsy utilizing the disclosed breast biopsy system is also provided

    Abstract translation: 一种乳腺活检系统,其利用构造成由机器人引导装置引导的针活检装置进入治疗位置,其中针尖位于患者体内的靶组织附近。 该系统包括适于跟踪针活检装置上的一个或多个点并产生实时装置定位数据的MRI兼容装置定位系统。 磁共振成像(MRI)系统提供来自所治疗患者的多平面参考图像数据。 MRI系统连接到MRI兼容设备定位系统,并且可操作以显示从实时设备定位数据重建的覆盖图像在多平面参考图像数据上,其描绘针活检装置相对于 靶组织在患者体内。 还提供了利用所公开的乳腺活检系统进行乳腺活检的方法

    System and method for localization of deep brain stimulation electrode via magnetic resonance imaging

    公开(公告)号:US10543361B2

    公开(公告)日:2020-01-28

    申请号:US15899594

    申请日:2018-02-20

    Abstract: A system and method for localizing a deep brain stimulation electrode in vivo in a subject or object is provided. A magnetic resonance imaging system obtains MR image data from a volume-of-interest by way of a zero echo time (ZTE) or ultrashort echo time (UTE) pulse sequence, with one or more of a phase domain image and a magnitude domain image being analyzed from the MR image data acquired by the ZTE or UTE pulse sequence. One or more electrodes are localized within the volume-of-interest based on an analysis of the phase domain image and/or magnitude domain image. In localizing the electrodes, a multi-scale correlation-based analysis of the volume-of-interest is performed to estimate at least one of an electrode center and electrode contact locations of the electrode, with the localization being achieved with a fast scan-time and with a high level of accuracy and precision.

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