CN113556978A - 一种b超智能辅助采集方法及系统 - Google Patents
一种b超智能辅助采集方法及系统 Download PDFInfo
- Publication number
- CN113556978A CN113556978A CN201880100123.9A CN201880100123A CN113556978A CN 113556978 A CN113556978 A CN 113556978A CN 201880100123 A CN201880100123 A CN 201880100123A CN 113556978 A CN113556978 A CN 113556978A
- Authority
- CN
- China
- Prior art keywords
- image data
- detection
- effective image
- effective
- human body
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000001514 detection method Methods 0.000 claims abstract description 199
- 238000002604 ultrasonography Methods 0.000 claims abstract description 15
- 238000004364 calculation method Methods 0.000 claims description 58
- 210000000056 organ Anatomy 0.000 claims description 54
- 201000010099 disease Diseases 0.000 claims description 47
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 47
- 238000012545 processing Methods 0.000 claims description 25
- 238000003384 imaging method Methods 0.000 claims description 22
- 239000003550 marker Substances 0.000 claims description 18
- 238000003745 diagnosis Methods 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 16
- 208000031940 Disease Attributes Diseases 0.000 claims description 4
- 238000013479 data entry Methods 0.000 claims description 4
- 238000012285 ultrasound imaging Methods 0.000 claims description 4
- 230000005856 abnormality Effects 0.000 description 5
- 238000013473 artificial intelligence Methods 0.000 description 3
- 230000003902 lesion Effects 0.000 description 3
- 230000017531 blood circulation Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 210000001835 viscera Anatomy 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Radiology & Medical Imaging (AREA)
- Medical Informatics (AREA)
- General Physics & Mathematics (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pathology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Theoretical Computer Science (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
Abstract
本发明公开了一种B超智能辅助采集方法及系统，具体的，首先设置具有有效图像数据的医学影像标准数据库，然后通过采集检测数据流，并将检测影像数据流分割为图像帧，将图像帧与有效图像数据比对，当比对结果为相似时，自动获取当前时刻的图像帧以及图像帧前后时间段内的检测影像数据流作为检测结果；当诊断为不相似时，人为手动控制采集检测影像数据流以及图像帧，作为检测结果。本发明提供的B超智能辅助采集方法及系统能够降低在做B超检测时，对检测人员的专业技能的要求，在多数情况下，能够自动获得检测结果，从而克服了现有技术中，只有专业技师才能操作B超的技术问题，扩展了B超检测的应用范围。
Description
PCT国内申请，说明书已公开。
Claims (10)
- PCT国内申请，权利要求书已公开。
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2018/120396 WO2020118535A1 (zh) | 2018-12-11 | 2018-12-11 | 一种b超智能辅助采集方法及系统 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113556978A true CN113556978A (zh) | 2021-10-26 |
Family
ID=71076153
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880100123.9A Pending CN113556978A (zh) | 2018-12-11 | 2018-12-11 | 一种b超智能辅助采集方法及系统 |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN113556978A (zh) |
| WO (1) | WO2020118535A1 (zh) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130253317A1 (en) * | 2010-12-15 | 2013-09-26 | Koninklijke Philips Electronics N.V. | Ultrasound imaging system with patient-specific settings |
| CN103345576A (zh) * | 2013-06-25 | 2013-10-09 | 上海交通大学 | 基于四模态医学影像的病例库诊断系统 |
| US20150157298A1 (en) * | 2013-12-11 | 2015-06-11 | Samsung Life Welfare Foundation | Apparatus and method for combining three dimensional ultrasound images |
| US20150351726A1 (en) * | 2014-06-05 | 2015-12-10 | Siemens Medical Solutions Usa, Inc. | User event-based optimization of B-mode ultrasound imaging |
| CN107194157A (zh) * | 2017-05-03 | 2017-09-22 | 上海理工大学 | 医用超声个性化自适应图像处理分析系统 |
| CN107307883A (zh) * | 2016-04-26 | 2017-11-03 | 江阴美兆门诊部有限公司 | 一种带有智能图像判读器的多路超声影像诊断系统及其使用方法 |
| CN107644419A (zh) * | 2017-09-30 | 2018-01-30 | 百度在线网络技术（北京）有限公司 | 用于分析医学影像的方法和装置 |
| CN107767928A (zh) * | 2017-09-15 | 2018-03-06 | 深圳市前海安测信息技术有限公司 | 基于人工智能的医学影像报告生成系统及方法 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7447341B2 (en) * | 2003-11-26 | 2008-11-04 | Ge Medical Systems Global Technology Company, Llc | Methods and systems for computer aided targeting |
| WO2013088806A1 (ja) * | 2011-12-13 | 2013-06-20 | インターナショナル・ビジネス・マシーンズ・コーポレーション | 医用画像を検索する方法、装置及びコンピュータプログラム |
| CN103324853A (zh) * | 2013-06-25 | 2013-09-25 | 上海交通大学 | 基于医学图像特征的相似度计算系统及方法 |
| JP6697743B2 (ja) * | 2015-09-29 | 2020-05-27 | パナソニックＩｐマネジメント株式会社 | 情報端末の制御方法及びプログラム |
| CN105184103B (zh) * | 2015-10-15 | 2019-01-22 | 清华大学深圳研究生院 | 基于病历数据库的虚拟名医系统 |
-
2018
- 2018-12-11 CN CN201880100123.9A patent/CN113556978A/zh active Pending
- 2018-12-11 WO PCT/CN2018/120396 patent/WO2020118535A1/zh active Application Filing
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130253317A1 (en) * | 2010-12-15 | 2013-09-26 | Koninklijke Philips Electronics N.V. | Ultrasound imaging system with patient-specific settings |
| CN103345576A (zh) * | 2013-06-25 | 2013-10-09 | 上海交通大学 | 基于四模态医学影像的病例库诊断系统 |
| US20150157298A1 (en) * | 2013-12-11 | 2015-06-11 | Samsung Life Welfare Foundation | Apparatus and method for combining three dimensional ultrasound images |
| US20150351726A1 (en) * | 2014-06-05 | 2015-12-10 | Siemens Medical Solutions Usa, Inc. | User event-based optimization of B-mode ultrasound imaging |
| CN107307883A (zh) * | 2016-04-26 | 2017-11-03 | 江阴美兆门诊部有限公司 | 一种带有智能图像判读器的多路超声影像诊断系统及其使用方法 |
| CN107194157A (zh) * | 2017-05-03 | 2017-09-22 | 上海理工大学 | 医用超声个性化自适应图像处理分析系统 |
| CN107767928A (zh) * | 2017-09-15 | 2018-03-06 | 深圳市前海安测信息技术有限公司 | 基于人工智能的医学影像报告生成系统及方法 |
| CN107644419A (zh) * | 2017-09-30 | 2018-01-30 | 百度在线网络技术（北京）有限公司 | 用于分析医学影像的方法和装置 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020118535A1 (zh) | 2020-06-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR101864380B1 (ko) | 수술영상데이터 학습시스템 | |
| KR102013828B1 (ko) | 수술영상을 기초로 수술시간을 예측하는 방법 및 장치 | |
| US20210236056A1 (en) | System and method for maneuvering a data acquisition device based on image analysis | |
| WO2020249855A1 (en) | An image processing arrangement for physiotherapy | |
| KR20190088375A (ko) | 수술영상데이터 학습시스템 | |
| US11699529B2 (en) | Systems and methods for diagnosing a stroke condition | |
| CN111214255B (zh) | 一种医学超声图像计算机辅助方法 | |
| US10115037B2 (en) | Patient identification using dynamic medical images | |
| CN110246135B (zh) | 卵泡监测方法、装置、系统及存储介质 | |
| EP3900617A1 (en) | A method and apparatus based on 3d camera for automated measurement preparation in mri system | |
| CN110870759A (zh) | 用于远程眼底筛查的质量控制方法和系统、及存储设备 | |
| KR101801376B1 (ko) | 3차원 위상 기술자를 이용한 두개골 이형 자동판단시스템 및 이를 이용한 두개골 이형 자동판단방법 | |
| CN113556978A (zh) | 一种b超智能辅助采集方法及系统 | |
| KR20180133091A (ko) | 혀 및 문진을 통한 건강진단 시스템 | |
| WO2019168372A1 (ko) | 의료 영상 처리 장치 및 그 동작 방법 | |
| US11972603B2 (en) | Image verification method, diagnostic system performing same, and computer-readable recording medium having the method recorded thereon | |
| CN112885435A (zh) | 图像目标区域的确定方法、装置和系统 | |
| CN117173940B (zh) | 一种介入手术机器人术中操作提示讲解方法及系统 | |
| EP4062838A1 (en) | Method for use in ultrasound imaging | |
| EP4212103A1 (en) | Medical image acquisition unit assistance apparatus | |
| US20240180529A1 (en) | Method for use in ultrasound imaging | |
| KR20180133081A (ko) | 귀 및 문진을 이용한 건강진단 시스템 및 그 방법 | |
| EP4094695A1 (en) | Ultrasound imaging system | |
| EP4080449A1 (en) | Medical image quality assessment | |
| EP4321101A1 (en) | Patient motion detection in diagnostic imaging |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |