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公开(公告)号：US20240320833A1
公开(公告)日：2024-09-26
申请号：US18199377
申请日：2023-05-19
Inventor： Yingying HAN , Ying HU , Baoliang ZHAO , Yuxin SONG , Ziwen WANG , Peng ZHANG
CPC classification number: G06T7/0016 , G06T7/11 , G06T2207/10132
Abstract: An ultrasonic image quality quantitative evaluation method includes segmenting a focus area aiming at a target ultrasonic image to extract a region of interest and perform a masking operation to acquire an image segmentation result mask; taking the image segmentation result mask as a reference image, and quantitatively comparing the reference image with a corresponding focus area according to a set evaluation standard to acquire a plurality of evaluation result indexes; and inputting the plurality of evaluation result indexes as an image feature into a classifier to acquire a quality quantification result of the focus area of the target ultrasonic image, where the classifier takes the plurality of evaluation result indexes corresponding to a sample image as an input feature, takes an image quality label of the labeled focus area as an output, and acquires the quality quantification result through training based on a set loss function.
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2.发明公开公开(公告)号：US20230386048A1
公开(公告)日：2023-11-30
申请号：US18366706
申请日：2023-08-08
Inventor： Yuxin SONG , Baoliang ZHAO , Ying HU , LONG LEI
IPC: G06T7/149
CPC classification number: G06T7/149 , G06T2207/10132 , G06T2207/20081 , G06T2207/10072
Abstract: The present disclosure relates to the field of image processing technologies, and provides an ultrasound image segmentation method and apparatus, a terminal device, and a storage medium. With the method, simulated ultrasound images are synthesized based on Computed Tomography (CT) images. An image segmentation model is pre-trained using the synthesized simulated ultrasound images. The pre-trained image segmentation model is migrated, by employing a transfer learning method, to real sample ultrasound images for further training to obtain a final image segmentation model. A segmentation processing on an ultrasound image to be segmented is completed by the final image segmentation model. In this way, the ultrasound images synthesized based on the CT images can be used to replace a part of training data, thereby solving a problem of lack of training data when training the image segmentation model.
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公开(公告)号：US20230377758A1
公开(公告)日：2023-11-23
申请号：US18366704
申请日：2023-08-08
Inventor： Ying HU , Baoliang ZHAO , Long LEI , Huajie TANG
CPC classification number: G16H50/50 , G06T7/73 , G06T7/246 , G06T7/0012 , G06T2207/30096 , G06T2207/30241 , G06T2207/30204 , G06T2207/20081
Abstract: The present disclosure relates to the technical field of image processing and provides a motion estimation method and apparatus for a tumor, a terminal device, and a storage medium. The method includes: obtaining a current value of a respiratory correlation signal of a patient, the respiratory correlation signal reflecting a motion trajectory feature of a designated organ with the tumor of the patient in each of different respiratory states; inputting the current value of the respiratory correlation signal into a tumor motion estimation model to obtain an estimated current position of the tumor; and inputting the estimated current position of the tumor into an organ motion estimation model to obtain an estimated current velocity vector field of the designated organ. By adopting the motion estimation method, it realizes a respiratory motion estimation for the whole organ and enhance accuracy of positioning the tumor and vital anatomical structures around the tumor.
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