Lung gland squamous cell carcinoma diagnosis device based on PET/CT image sub-region imaging omics characteristics

Abstract

The invention discloses a lung glandular squamous cell carcinoma diagnosis device based on PET / CT image subarea imaging omics characteristics, and belongs to the field of medical images. The diagnosisdevice comprises: a voxel three-dimensional feature extraction module, which is used for extracting a CT local main gradient angle feature value of each voxel of a lung tumor in a neighborhood in a PET / CT image, a CT value of the voxel and a PET value, and forming a three-dimensional feature vector of the voxel; a feature clustering module used for clustering the obtained three-dimensional feature vector of each voxel to obtain a tumor sub-region partition; a radios image omics feature extraction module used for extracting radios image omics features of each tumor sub-region in a partitioningmanner; and a classification module used for distinguishing whether the tumor is lung squamous cell carcinoma or lung adenocarcinoma according to the extracted radiomics characteristics of the radiomics. According to the diagnosis device, the heterogeneity in the tumor is better considered, and the accuracy of tumor diagnosis is effectively improved by extracting more effective imaging omics characteristics.

Description

technical field [0001] The present invention relates to the fields of medical imaging and machine learning, in particular to a lung adenosquamous carcinoma diagnosis device based on radiomics features of PET / CT image subregions. Background technique [0002] Positron emission tomography (PET) is a functional imaging device at the molecular level. The radioactive tracer needs to be injected into the patient before scanning, and the tracer decays and annihilates in the patient's body, producing a pair of emission directions about 180 o In contrast to the 511keV gamma photons, the detector collects information about where and when these gamma photons hit the crystal. By using image reconstruction algorithms to reconstruct and post-process the acquired information, the metabolism and uptake of the reaction tracer in the patient can be obtained. According to the imaging results of PET / CT, doctors comprehensively analyze the patient's condition in combination with various clinic...

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However, the current diagnostic efficiency based on these methods is not high

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