CN112654299A - 超声成像方法、设备、存储介质,处理器及计算机设备 - Google Patents
超声成像方法、设备、存储介质,处理器及计算机设备 Download PDFInfo
- Publication number
- CN112654299A CN112654299A CN201880097331.8A CN201880097331A CN112654299A CN 112654299 A CN112654299 A CN 112654299A CN 201880097331 A CN201880097331 A CN 201880097331A CN 112654299 A CN112654299 A CN 112654299A
- Authority
- CN
- China
- Prior art keywords
- uterus
- anatomical structures
- pregnancy
- key anatomical
- key
- 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
- 238000003384 imaging method Methods 0.000 title description 10
- 210000003484 anatomy Anatomy 0.000 claims abstract description 249
- 210000003754 fetus Anatomy 0.000 claims abstract description 158
- 210000004291 uterus Anatomy 0.000 claims abstract description 150
- 230000035935 pregnancy Effects 0.000 claims abstract description 144
- 238000000034 method Methods 0.000 claims abstract description 89
- 238000012285 ultrasound imaging Methods 0.000 claims abstract description 37
- 238000002592 echocardiography Methods 0.000 claims abstract description 7
- 238000002604 ultrasonography Methods 0.000 claims description 45
- 239000000523 sample Substances 0.000 claims description 26
- 210000001161 mammalian embryo Anatomy 0.000 claims description 23
- 210000001667 gestational sac Anatomy 0.000 claims description 17
- 238000010801 machine learning Methods 0.000 claims description 16
- 210000001325 yolk sac Anatomy 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 9
- 210000003414 extremity Anatomy 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 9
- 210000000689 upper leg Anatomy 0.000 claims description 6
- 238000012549 training Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 abstract description 23
- 230000001605 fetal effect Effects 0.000 abstract description 13
- 238000005516 engineering process Methods 0.000 abstract description 12
- 238000004422 calculation algorithm Methods 0.000 description 11
- 238000013135 deep learning Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 8
- 230000000877 morphologic effect Effects 0.000 description 6
- 210000001136 chorion Anatomy 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000011218 segmentation Effects 0.000 description 4
- 230000036266 weeks of gestation Effects 0.000 description 4
- 210000001172 blastoderm Anatomy 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 210000003625 skull Anatomy 0.000 description 3
- 206010011732 Cyst Diseases 0.000 description 2
- 210000001691 amnion Anatomy 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 2
- 230000000740 bleeding effect Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 208000031513 cyst Diseases 0.000 description 2
- 210000003785 decidua Anatomy 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000013136 deep learning model Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 239000012530 fluid Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000002826 placenta Anatomy 0.000 description 2
- 238000007637 random forest analysis Methods 0.000 description 2
- 238000005295 random walk Methods 0.000 description 2
- 230000001502 supplementing effect Effects 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- 210000003954 umbilical cord Anatomy 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 208000034702 Multiple pregnancies Diseases 0.000 description 1
- 241000270295 Serpentes Species 0.000 description 1
- 210000001015 abdomen Anatomy 0.000 description 1
- 238000009557 abdominal ultrasonography Methods 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 210000004252 chorionic villi Anatomy 0.000 description 1
- 238000003759 clinical diagnosis Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 210000002257 embryonic structure Anatomy 0.000 description 1
- 230000008175 fetal development Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 125000001475 halogen functional group Chemical group 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 238000002513 implantation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 210000000936 intestine Anatomy 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000009245 menopause Effects 0.000 description 1
- 230000005906 menstruation Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 210000003097 mucus Anatomy 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000012567 pattern recognition method Methods 0.000 description 1
- 230000003169 placental effect Effects 0.000 description 1
- 210000001811 primitive streak Anatomy 0.000 description 1
- 230000010349 pulsation Effects 0.000 description 1
- 230000000306 recurrent effect Effects 0.000 description 1
- 208000011580 syndromic disease Diseases 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
- 210000005010 torso 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
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Pathology (AREA)
- Radiology & Medical Imaging (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (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
一种超声成像方法、设备、存储介质，处理器及计算机设备。其中，该方法包括：通过覆盖整个子宫区域的方式向子宫发射超声波，并接收超声回波，获得超声回波信号(S202)；根据超声回波信号获得子宫的三维体数据(S204)；确定子宫所处的孕期(S206)；从三维体数据中识别出与孕期对应的胎儿的关键解剖结构(S208)；根据关键解剖结构，确定子宫内胎儿的数量(S210)。解决了相关技术中对胎儿数量检测的准确率较低的技术问题。
Description
PCT国内申请，说明书已公开。
Claims (21)
- 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/CN2018/117007 WO2020103098A1 (zh) | 2018-11-22 | 2018-11-22 | 超声成像方法、设备、存储介质，处理器及计算机设备 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112654299A true CN112654299A (zh) | 2021-04-13 |
Family
ID=70773452
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880097331.8A Pending CN112654299A (zh) | 2018-11-22 | 2018-11-22 | 超声成像方法、设备、存储介质,处理器及计算机设备 |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112654299A (zh) |
| WO (1) | WO2020103098A1 (zh) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115919367A (zh) * | 2022-12-09 | 2023-04-07 | 开立生物医疗科技(武汉)有限公司 | 超声图像处理方法及装置、电子设备和存储介质 |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116392166B (zh) * | 2023-03-07 | 2024-02-23 | 广州市妇女儿童医疗中心 | 一种孕囊及胚芽自动测量方法、***、装置及介质 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070081705A1 (en) * | 2005-08-11 | 2007-04-12 | Gustavo Carneiro | System and method for fetal biometric measurements from ultrasound data and fusion of same for estimation of fetal gestational age |
| US20090093717A1 (en) * | 2007-10-04 | 2009-04-09 | Siemens Corporate Research, Inc. | Automated Fetal Measurement From Three-Dimensional Ultrasound Data |
| CN101732070A (zh) * | 2008-11-18 | 2010-06-16 | 株式会社东芝 | 超声波图像取得装置 |
| CN102949206A (zh) * | 2011-08-26 | 2013-03-06 | 深圳迈瑞生物医疗电子股份有限公司 | 一种三维超声成像的方法及装置 |
| US20170238907A1 (en) * | 2016-02-22 | 2017-08-24 | General Electric Company | Methods and systems for generating an ultrasound image |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110201935A1 (en) * | 2008-10-22 | 2011-08-18 | Koninklijke Philips Electronics N.V. | 3-d ultrasound imaging |
| CN104394771B (zh) * | 2012-06-04 | 2017-07-04 | 泰尔哈绍梅尔医学研究基础设施和服务有限公司 | 超声图像处理 |
| CN104414680B (zh) * | 2013-08-21 | 2017-06-13 | 深圳迈瑞生物医疗电子股份有限公司 | 一种三维超声成像方法及*** |
-
2018
- 2018-11-22 CN CN201880097331.8A patent/CN112654299A/zh active Pending
- 2018-11-22 WO PCT/CN2018/117007 patent/WO2020103098A1/zh active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070081705A1 (en) * | 2005-08-11 | 2007-04-12 | Gustavo Carneiro | System and method for fetal biometric measurements from ultrasound data and fusion of same for estimation of fetal gestational age |
| US20090093717A1 (en) * | 2007-10-04 | 2009-04-09 | Siemens Corporate Research, Inc. | Automated Fetal Measurement From Three-Dimensional Ultrasound Data |
| CN101732070A (zh) * | 2008-11-18 | 2010-06-16 | 株式会社东芝 | 超声波图像取得装置 |
| CN102949206A (zh) * | 2011-08-26 | 2013-03-06 | 深圳迈瑞生物医疗电子股份有限公司 | 一种三维超声成像的方法及装置 |
| US20170238907A1 (en) * | 2016-02-22 | 2017-08-24 | General Electric Company | Methods and systems for generating an ultrasound image |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115919367A (zh) * | 2022-12-09 | 2023-04-07 | 开立生物医疗科技(武汉)有限公司 | 超声图像处理方法及装置、电子设备和存储介质 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2020103098A1 (zh) | 2020-05-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110325119B (zh) | 卵巢卵泡计数和大小确定 | |
| US11622744B2 (en) | System and method for automated ovarian follicular monitoring | |
| Chen et al. | Artificial intelligence in obstetric ultrasound: an update and future applications | |
| Cobo et al. | Feasibility and reproducibility of fetal lung texture analysis by automatic quantitative ultrasound analysis and correlation with gestational age | |
| Anquez et al. | Automatic segmentation of antenatal 3-D ultrasound images | |
| CN107518920B (zh) | 超声波图像处理方法及装置、超声诊断装置及存储介质 | |
| CN111374712B (zh) | 一种超声成像方法及超声成像设备 | |
| Hu et al. | Automated placenta segmentation with a convolutional neural network weighted by acoustic shadow detection | |
| CN110279433A (zh) | 一种基于卷积神经网络的胎儿头围自动精确测量方法 | |
| CN107809958A (zh) | 未经训练或最低程度受训练的操作者在医疗点处进行产科成像 | |
| CN113274056A (zh) | 一种超声扫查方法及相关装置 | |
| CN112654299A (zh) | 超声成像方法、设备、存储介质,处理器及计算机设备 | |
| CN111481233B (zh) | 胎儿颈项透明层厚度测量方法 | |
| Saavedra et al. | Automatic ultrasound assessment of placenta previa during the third trimester for rural areas | |
| WO2022099705A1 (zh) | 早孕期胎儿的超声成像方法和超声成像*** | |
| CN113520317A (zh) | 基于oct的子宫内膜检测分析方法、装置、设备及存储介质 | |
| Faghih et al. | Automated ovarian follicular monitoring: A novel real-time approach | |
| CN113409275B (zh) | 基于超声图像确定胎儿颈后透明层厚度的方法及相关装置 | |
| Shiney et al. | A Review on techniques for computer aided diagnosis of soft markers for detection of down syndrome in ultrasound fetal images | |
| CN116763347A (zh) | 基于超声图像的胎头方向角测量方法以及相关装置 | |
| WO1994014132A1 (en) | Non-invasive medical scanning | |
| Yin et al. | An Accurate Segmentation framework for static ultrasound images of the gestational sac | |
| Vásquez et al. | Labor induction failure prediction based on B-mode ultrasound image processing using multiscale local binary patterns | |
| Khazendar | Computer-aided diagnosis of gynaecological abnormality using B-mode ultrasound images | |
| Zhang et al. | Advances in the Application of Artificial Intelligence in Fetal Echocardiography |
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 |