Shanghai United Imaging Healthcare Co., Ltd.

Huawei Technologies Co., Limited

Jieyan Ma

Jing Liu

Jian Wang

Yufei Mao

Ke Wu

Fan Long

Fei Wang

Cheng Li

Rui Guo

Tian Zhang

Yuan Ren

Hongjian Wang

Ce Wang

Liangliang Pan

Jiyong Wang

Bin Tan

Qi Duan

Shuai Wang

Zhao Zhang

Wenqing Liu

Lilong Wang

Yong Luo

Chuanfeng Lyu

Guoxing Wu

Chuanfeng Lv

Wenhua Wang

Weijuan Li

Xiaoliang Chen

Lianghai Jin

Jie Qu

Shili Cao

Fanfan Zhang

Xiaofeng Han

The present disclosure may provide a method for perfusion analysis. The method may include: obtaining a plurality of scan images corresponding to a plurality of time points; obtaining a plurality of time-density discrete points based on the plurality of scan images; determining an initial time-density curve based on the plurality of time-density discrete points, the initial time-density curve indicating a density variation of a contrast agent in an organ or tissue over time, the organ or tissue corresponding to a pixel or voxel in the plurality of scan images; obtaining a first perfusion model; determining a first perfusion parameter based on the first perfusion model and the initial time-density curve; obtaining a second perfusion model; and determining a second perfusion parameter based on the second perfusion model and the first perfusion parameter.

Method and device for perfusion analysis

The present application relates to a method for acquiring maximum principal strain or a maximum principal stress status of a vessel wall. The method includes: acquiring first vessel data of a first time phase corresponding to a vessel; acquiring second vessel data of a second time phase corresponding to the vessel; generating, based on the first vessel data, a first vessel model relating to the first time phase, generating a second vessel model relating to the second time phase based on the second vessel data; determining a region of interest in the first vessel model; determining the corresponding region of interest in the second vessel model; determining a reference point in the region of interest of the first vessel model; determining the corresponding reference point in the region of interest of the second vessel model; determining a displacement of the reference point from the first vessel model to the second vessel model; and determining a maximum principal strain or a maximum principal stress at the reference point based on the displacement of the reference point.

Method and system for acquiring status of strain and stress of a vessel wall

A method for generating semantic information may include obtain a scanning image. The scanning image may include a plurality of pixels representing an anatomical structure. The method may also include obtain a trained segmentation model. The method may further include determine a location probability distribution of the anatomical structure in the scanning image based on the trained segmentation model. The method may also include generate a segmentation result related to the anatomical structure based on the location probability distribution. The method may further include save the segmentation result into a tag of a digital imaging and communications in medicine (DICOM) file.

Systems and methods for generating semantic information for scanning image

A method and system for extracting vasculature. The method may include obtaining an image including a part representing a vessel, and obtaining a first image by extracting bone tissue in the image. The method may also include obtaining a second image by performing a region growing operation on the image. The method may further include generating a subtraction image based on the first image and the second image. The subtraction image may include at least a portion of the part representing the vessel in the image. The method may also include obtaining at least one vessel seed group based on a first condition and the subtraction image, and determining at least one vessel threshold based on at least one boundary distance field of the subtraction image. The method may further include obtaining a target vessel image by performing, based on the vessel seed group and the at least one vessel threshold, a region growing operation on the image.

Method and system for extracting vasculature

The present application relates to a method and system for analyzing blood flow conditions. The method includes: obtaining images at multiple time phases; constructing multiple vascular models corresponding to the multiple time phases; correlating the multiple vascular models; setting boundary conditions of the multiple vascular models respectively based on the result of correlation; and determining condition of blood vessel of the vascular models.

Systems and methods for analysis of blood flow state

Method and system for analyzing blood flow condition

A method and system for image processing is provided. The technique includes acquiring data related to the processing, performing a pre-processing of the data, performing a segmentation of a subject, performing a post-processing of the result of the segmentation and managing storage of the data. The post-process includes a calibrating and a rendering of the data.

Methods and systems for identifying spine or bone regions in computed tomography image sequence

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Shanghai, China

Jieyan Ma