公开(公告)号：US20230082598A1

公开(公告)日：2023-03-16

申请号：US17740349

申请日：2022-05-10

Applicant: ZHEJIANG LAB

Inventor： Wentao ZHU ,  Hui SHEN ,  Ling CHEN ,  Yuan JIN ,  Hailiang HUANG

IPC: G06T7/00 ,  A61B6/00 ,  G06T7/11 ,  G06V10/44 ,  G06V10/764

Abstract: Disclosed is a diagnostic apparatus for a chronic obstructive pulmonary disease (COPD) based on prior knowledge CT subregion radiomics, belonging to the field of medical imaging. The diagnostic apparatus comprises: a subregion partitioning module based on prior knowledge configured for partitioning a CT lung image of a patient into three subregions based on the CT values of the interior of the lung, wherein the CT value of the interior of the lung of a subregion 1 is in the range of (−1024, −950), the CT value of the interior of the lung of a subregion 2 is in the range of (−190, 110), and the CT value of the interior of the lung of a subregion 3 is in the range of (−950, −190); a feature extraction module configured for extracting the radiomics features of the three subregions, respectively, and obtaining the LAA-950I features.

公开(公告)号：US20220222779A1

公开(公告)日：2022-07-14

申请号：US17712080

申请日：2022-04-02

Applicant: ZHEJIANG LAB

Inventor： Duo ZHANG ,  Wentao ZHU ,  Ling CHEN ,  Fan RAO ,  Bao YANG ,  Hui SHEN

IPC: G06T3/60 ,  G06T11/00 ,  G06N3/04

Abstract: Disclosed is an automatic reorientation method from an SPECT three-dimensional reconstructed image to a standard view, wherein a rigid registration parameter P between a SPECT three-dimensional reconstructed image A and a standard SPECT image R is extracted by using a rigid registration algorithm to form a mapping database of A and P; features of the image A are extracted by using a three-layer convolution module, and are converted into a 6-dimensional feature vector T after three times of full connection, and T is applied to A through a spatial transformer network to form an orientation result predicted by the network, thus establishing the automatic reorientation model of the SPECT three-dimensional reconstructed image. The SPECT three-dimensional reconstructed image to be orientated is taken as an input. A standard view can be obtained by using the automatic reorientation model of the SPECT three-dimensional reconstructed image for automatic turning.