MULTI-ECHO MR IMAGING WITH SPIRAL ACQUISITION

    公开(公告)号:WO2020239677A1

    公开(公告)日:2020-12-03

    申请号:PCT/EP2020/064415

    申请日:2020-05-25

    Abstract: The invention relates to a method of MR imaging of an object (10) positioned in an examination volume of a MR device (1). It is an object of the invention to enable fast spiral MR imaging with a defined T2 contrast. The method of the invention comprises the following steps: - generating a number of spin echoes by subjecting the object (10) to one or 5 more shots of an imaging sequence, each shot comprising an RF excitation pulse (21) followed by a number of RF refocusing pulses (22), wherein modulated readout magnetic field gradients (23, 24) are applied in each interval between successive RF refocusing pulses (22), - acquiring MR signal data, wherein each spin echo is recorded along a spiral trajectory (31-33, 41-43) in k-space which winds around the k-space origin with varying radial distance, wherein the trajectory (31, 41) of at least one spin echo has a different rate of variation of the radial distance at least in a central k-space region compared to the trajectories (32, 33, 42, 43) of the other spin echoes, and - reconstructing an MR image from the acquired MR signal data. Moreover, the invention relates to an MR device (1) and to a computer program for an MR device (1).

    QUALITATIVE AND QUANTITATIVE MRI USING DEEP LEARNING

    公开(公告)号:WO2020123788A1

    公开(公告)日:2020-06-18

    申请号:PCT/US2019/065946

    申请日:2019-12-12

    Inventor: XING, Lei WU, Van

    Abstract: A method for quantitative magnetic resonance imaging (MRI) includes [800] performing an MRI scan using a conventional pulse sequence to obtain a qualitative MR image; and [802] applying the qualitative MR image as input to a deep convolutional neural network (CNN) to produce a quantitative magnetic resonance (MR) relaxation parametric map. The qualitative MR image is the only image input to the deep neural network to produce the quantitative MR relaxation parametric map. The conventional pulse sequence may be a Spoiled Gradient Echo sequence, a Fast Spin Echo sequence, a Steady-State Free Precession sequence, or other sequence that is commonly used in current clinical practice.

    磁共振快速参数成像方法及装置
    24.
    发明申请

    公开(公告)号:WO2020114329A1

    公开(公告)日:2020-06-11

    申请号:PCT/CN2019/122002

    申请日:2019-11-29

    Abstract: 一种磁共振快速参数成像方法及装置,包括:按照变速率变密度采集模板,采集磁共振图像对应的欠采K空间数据(S103);建立对欠采K空间数据进行重建的重建模型(S104);对重建模型进行求解,在求解过程中基于预设的参数弛豫模型进行信号补偿,从欠采K空间数据中重建出参数加权图像(S105);利用参数弛豫模型对重建出的参数加权图像进行拟合得到参数图,其中,参数图包括磁共振图像中各种组织的参数值(S106)。与现有技术相比,本方法在重建过程中引入了信号补偿,可以从欠采K空间数据中精确的重建出参数加权图像,进一步拟合出参数图,提高了参数图的准确度。

    MEDICAL IMAGING BASED ON CALIBRATED POST CONTRAST TIMING

    公开(公告)号:WO2020106925A1

    公开(公告)日:2020-05-28

    申请号:PCT/US2019/062552

    申请日:2019-11-21

    Abstract: Techniques measuring post contrast phase include collecting 3D medical imagery of a subject after injection with a contrast agent. A first set of slices is obtained in which each includes a first anatomical feature selected from a portal vein, aorta, inferior vena cava, liver, spleen or renal cortex. A second set of slices is obtained in which each includes a different second anatomical feature. A first image region is obtained from the first set and a different second image region from the second set. A trained convolutional neural network is configured to input the first image region to a first plurality of convolutional hidden layers and the second image region to a second plurality of convolutional hidden layers and output from both to a fully connected hidden layer that outputs a post contrast phase. Output data is presented based on the post contrast phase.

    MAGNETIC RESONANCE IMAGING USING MOTION-COMPENSATED IMAGE RECONSTRUCTION

    公开(公告)号:WO2020078907A1

    公开(公告)日:2020-04-23

    申请号:PCT/EP2019/077786

    申请日:2019-10-14

    Abstract: The invention relates to a method of MR imaging of an object (10). It is an object of the invention to enable MR imaging in the presence of motion of the imaged object, wherein full use is made of the acquired MR signal and a high-quality MR image essentially free from motion artefacts is obtained. The method of the invention comprises the steps of: generating MR signals by subjecting the object (10) to an imaging sequence comprising RF pulses and switched magnetic field gradients; acquiring the MR signals as signal data over a given period of time (T); subdividing the period of time into a number of successive time segments (SO, S1, S2,... Sn); deriving a geometric transformation (DVF1, DVF2,... DVFn) in image space for each pair of consecutive time segments (S0, S1, S2,... Sn), which geometric transformation (DVF1, DVF2,... DVFn) reflects motion occurring between the two time segments of the respective pair; and reconstructing an MR image from the signal data, wherein a motion compensation is applied according to the derived geometric transformations (DVF1, DVF2,... DVFn). Moreover, the invention relates to an MR device (1) and to a computer program for an MR device (1).

    MEDICAL IMAGE CONVERSION
    29.
    发明申请

    公开(公告)号:WO2019224140A1

    公开(公告)日:2019-11-28

    申请号:PCT/EP2019/062929

    申请日:2019-05-20

    Abstract: In accordance with one or more embodiments herein, a system 100 for generating an optimized parametrized conversion function T for converting an original medical image of a first image type into a converted medical image of a second image type is provided. The system 100 comprises at least one processing unit configured to: obtain original medical images of the first and second image types; obtain an initial parametrized conversion function G to convert original medical images of the first image type into converted medical images of the second image type; calculate a first penalty P 1 based on at least one comparison of a first original medical image of the second image type with a first converted medical image of the second image type, that has been generated by applying a first parametrized conversion function G 1 , which is based on the initial parametrized conversion function G, to a first original medical image of the first image type that forms an image pair with the first original medical image of the second image type and has thereby been determined to show the same part of the same patient; calculate a second penalty P 2 based on at least one comparison of an original medical image of the first image type and a converted medical image of the second image type that has been generated by applying a second parametrized conversion function G 2 , which is based on the initial parametrized conversion function G, to the original medical image of the first image type, after converting the original medical image of the first image type and/or the converted medical image of the second image type into images of the same image type; and generate the optimized parametrized conversion function T based on the parameters of the initial parametrized conversion function G and at least said first and second penalties P 1 and P 2 .

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