Automatic brain region segmentation method and device based on PET/MR imaging system
An imaging system and brain area technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as poor algorithm robustness, and achieve the effect of improving generalization ability and segmentation accuracy.
Pending Publication Date: 2022-05-10
SHENZHEN INST OF ADVANCED TECH
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Most algorithms are based on the segmentation of a small number of brain regions or brain tumors. When these algorithms are used to segment the entire brain region, the robustness of the algorithm is poor.
At present, because the resolution of PET is much lower than that of MRI, most researches on brain segmentation algorithms focus on MRI, and few studies use PET to achieve brain segmentation algorithms. However, PET belongs to functional imaging and focuses on the application of case detection of cell activity. It has great practical application value for its brain segmentation
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[0060] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some, not all, embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0061] The terms "comprising" and "having" and any variations thereof in the description and claims of this application are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device comprising a series of steps or devices is not necessarily limited to those steps or devices explicitly listed, but may include steps or devices not expressly listed or for those processes, methods, products, or Other steps or devices inherent to the device.
[0062] In ord...
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The invention relates to an automatic brain region segmentation method and device based on a PET / MR (positron emission tomography / magnetic resonance) imaging system, which are used for fusing the features of an MRI (magnetic resonance imaging) image and a PET (positron emission tomography) image and improving the brain region segmentation precision and accuracy. The method comprises the following steps: taking an MRI image and a PET image of the same person as a sample; after skull removal and label drawing processing are carried out on the MRI image in each sample, registration processing is carried out on the PET image by taking the MRI image as a template, so that the PET image and the MRI image share a label; performing slicing processing on the registered image according to a cross section, performing data normalization processing on the sliced image, and performing one-hot coding on a label; establishing a Unet model with two input channels and one output channel; and taking the slices of the MRI image and the PET image as the input of the Unet model to obtain a brain region segmentation result after feature fusion. According to the method, by fusing PET / MR bimodal features, individual specificity is reserved, and brain region segmentation precision and accuracy are improved.
Description
technical field [0001] The present disclosure relates to medical image segmentation, in particular to an automatic brain region segmentation method and device based on a PET / MR imaging system. Background technique [0002] Integrated positron emission tomography (PET) / magnetic resonance imaging (MRI) is a new multimodal imaging system that integrates PET and MRI. It realizes the simultaneous acquisition of two different devices in the same space, which not only combines the high-resolution soft tissue and multi-parameter multifunctional imaging characteristics of the MRI system, but also combines the high sensitivity of radiotracer metabolism and the quantitative data characteristics of the PET system . The accuracy of brain segmentation has a great impact on clinical diagnosis, and is of great value for the diagnosis of cerebrovascular diseases, Alzheimer's disease, epilepsy, Parkinson's, neurodegenerative diseases, neuropsychiatric drug research and brain function researc...
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IPC IPC(8): G06T11/00G06T7/11G06T7/33G06N3/04G06K9/62G06V10/82G06V10/774G06V10/764G06V10/80
CPCG06T11/005G06T7/11G06T7/33G06T2207/20081G06T2207/20084G06T2207/10088G06T2207/10104G06T2207/30016G06N3/045G06F18/24G06F18/253G06F18/214
Inventor 胡战利黄振兴刘涵郑海荣梁栋刘新
Owner SHENZHEN INST OF ADVANCED TECH