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Intra-voxel incoherent motion imaging acceleration method and device based on deep learning

A technology of deep learning and deep learning network, applied in the field of incoherent motion imaging within a voxel, can solve the problem of long acquisition time, and achieve the effect of shortening the time

Active Publication Date: 2021-02-09
浙江拉莫医学影像科技有限公司
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Problems solved by technology

However, IVIM imaging requires the acquisition of diffuse signals with multiple b-values ​​(about 10 b-values), which takes a long time and is easily affected by motion artifacts

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  • Intra-voxel incoherent motion imaging acceleration method and device based on deep learning

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Embodiment

[0073] The above-mentioned accelerated method of voxel-incoherent motion imaging based on deep learning was tested on the data of 9 subjects at 28-36 weeks of pregnancy. Magnetic resonance scans were performed on a General Electric SIGNA HDXT 1.5T scanner, and placental images were collected from the maternal sagittal position using a diffusion-weighted echo-planar imaging sequence: echo time (TE) / repetition time (TR) = 76 / 3000ms, field of view (FOV)=320×320mm, the in-plane resolution is 1.25×1.25mm, the layer thickness is 4mm, and there are 15 layers in total. The diffusion weighted gradient is applied in three directions with gradient values ​​of 0, 10, 20, 50, 80, 100, 150, 200, 300, 500 and 800s respectively / mm 2 . In this embodiment, the iterative registration operation in step 2 is repeated 10 times.

[0074] At the same time, in order to compare and demonstrate the technical effects of the present invention, this implementation compares the results obtained by the de...

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Abstract

The invention discloses an acceleration method and device for incoherent motion imaging in a voxel in a placenta based on deep learning. The method includes the following steps: firstly, it performs rigid body registration and affine transformation registration to obtain registered placenta data information by means of iterative multiple registration. Secondly, using the registered placenta data, experts are hired to delineate the region of interest in it to establish a voxel database in the placenta. Finally, use the obtained voxel data for training to obtain the corresponding feature information. This enables accelerated imaging of incoherent motion within voxels within the placenta. The present invention proposes an acceleration scheme based on deep learning for the existing intra-voxel incoherent motion imaging method in the placenta, which can obtain image information of approximately the same quality with less acquisition time, and has higher accuracy and accuracy, outperforming other intra-placental intra-voxel incoherent motion imaging methods available today.

Description

technical field [0001] The present application relates to the field of magnetic resonance image processing and the field of artificial intelligence, in particular to a method and device for incoherent motion imaging within a voxel based on deep learning. Background technique [0002] Diffusion imaging is a non-destructive magnetic resonance imaging method for measuring the movement of water molecules in living tissues. Its image contrast is mainly related to the speed and direction of water molecule movement, rather than the weight of T1, T2 and proton density formed by conventional MRI methods. Therefore, diffusion imaging can provide microstructure information that cannot be obtained by conventional MRI methods, and plays an important role in the detection of central nervous system diseases, such as the identification of benign and malignant tumors, and the evaluation and prediction of curative effect. [0003] Conventional diffusion imaging usually uses a single excitatio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00G06T3/00G06N3/08G06N3/04A61B5/00A61B5/055
CPCG06T11/005G06T11/008G06T3/0075G06T3/0068G06N3/08A61B5/4343A61B5/055A61B5/004G06N3/045
Inventor 吴丹黄凡颜国辉邹煜郑天舒张祎
Owner 浙江拉莫医学影像科技有限公司
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