公开(公告)号：US10048360B2

公开(公告)日：2018-08-14

申请号：US14861505

申请日：2015-09-22

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chih-Chi Chang ,  Yi-Jung Wang ,  Guo-Zua Wu ,  Oscal Tzyh-Chiang Chen ,  Chien-Ju Li ,  Ji-Da Chen

IPC: G01S7/52 ,  G01S15/89 ,  G10K11/34

Abstract: An ultrasound imaging system includes a beam receiving circuit and a back-end circuit. The beam receiving circuit receives a plurality of digitized echo signals. The back-end circuit is coupled to the beam receiving circuit for outputting a plurality of compressed delay timing parameters corresponding to a plurality of channels to the beam receiving circuit. The beam receiving circuit decompresses the compressed delay timing parameters into a plurality of delay timing parameters, and processes the digitized echo signals into an ultrasound beamforming value according to the delay timing parameters corresponding to the channels. The back-end circuit synthesizes an ultrasound image according to the ultrasound beamforming value outputted from the beam receiving circuit.

公开(公告)号：US20250064478A1

公开(公告)日：2025-02-27

申请号：US18942801

申请日：2024-11-11

Applicant: Industrial Technology Research Institute

Inventor： Po-An Hsu ,  Chih-Chi Chang ,  Chih-Wei Chien ,  Chia-Pin Li ,  Kun-Ta Wu ,  Wei-Zheng Lu

IPC: A61B17/34 ,  A61B34/10 ,  G06N20/00

Abstract: A computer-assisted needle insertion method is provided. The computer-assisted needle insertion method includes the following steps. A first machine learning model and a second machine learning model are obtained. A computed tomography image and a needle insertion path are obtained, a suggested needle insertion path is generated according to the first machine learning model, the computed tomography image, and the needle insertion path, and the needle is instructed to approach a needle insertion point on a skin of a target. The needle insertion point is located on the suggested needle insertion path. A breath signal of the target is obtained, and whether a future breath state of the target is normal is estimated according to the second machine learning model and the breath signal. A suggested needle insertion period is output according to the breath signal in response to determining that the future breath state is normal.

公开(公告)号：US12171460B2

公开(公告)日：2024-12-24

申请号：US17534418

申请日：2021-11-23

Applicant: Industrial Technology Research Institute

Inventor： Po-An Hsu ,  Chih-Chi Chang ,  Chih-Wei Chien ,  Chia-Pin Li ,  Kun-Ta Wu ,  Wei-Zheng Lu

IPC: A61B17/34 ,  A61B34/10 ,  G06N20/00

Abstract: A computer-assisted needle insertion system and a computer-assisted needle insertion method are provided. The computer-assisted needle insertion method includes: obtaining a first machine learning (ML) model and a second ML model; obtaining a computed tomography (CT) image and a needle insertion path, generating a suggested needle insertion path according to the first ML model, the CT image, and the needle insertion path, and instructing a needle to approach a needle insertion point on a skin of a target, wherein the needle insertion point is located on the suggested needle insertion path; obtaining a breath signal of the target, and estimating whether a future breath state of the target is normal according to the second ML model and the breath signal; and outputting a suggested needle insertion period according to the breath signal in response to determining that the future breath state is normal.

公开(公告)号：US20220202442A1

公开(公告)日：2022-06-30

申请号：US17534418

申请日：2021-11-23

Applicant: Industrial Technology Research Institute

Inventor： Po-An Hsu ,  Chih-Chi Chang ,  Chih-Wei Chien ,  Chia-Pin Li ,  Kun-Ta Wu ,  Wei-Zheng Lu

IPC: A61B17/34 ,  A61B34/10 ,  G06N20/00

Abstract: A computer-assisted needle insertion system and a computer-assisted needle insertion method are provided. The computer-assisted needle insertion method includes: obtaining a first machine learning (ML) model and a second ML model; obtaining a computed tomography (CT) image and a needle insertion path, generating a suggested needle insertion path according to the first ML model, the CT image, and the needle insertion path, and instructing a needle to approach a needle insertion point on a skin of a target, wherein the needle insertion point is located on the suggested needle insertion path; obtaining a breath signal of the target, and estimating whether a future breath state of the target is normal according to the second ML model and the breath signal; and outputting a suggested needle insertion period according to the breath signal in response to determining that the future breath state is normal.