CN108010041B - 一种人体心脏冠脉提取方法 - Google Patents
一种人体心脏冠脉提取方法 Download PDFInfo
- Publication number
- CN108010041B CN108010041B CN201711400356.4A CN201711400356A CN108010041B CN 108010041 B CN108010041 B CN 108010041B CN 201711400356 A CN201711400356 A CN 201711400356A CN 108010041 B CN108010041 B CN 108010041B
- Authority
- CN
- China
- Prior art keywords
- coronary artery
- model
- image
- segmentation
- full
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30048—Heart; Cardiac
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
Description
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711400356.4A CN108010041B (zh) | 2017-12-22 | 2017-12-22 | 一种人体心脏冠脉提取方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711400356.4A CN108010041B (zh) | 2017-12-22 | 2017-12-22 | 一种人体心脏冠脉提取方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108010041A CN108010041A (zh) | 2018-05-08 |
CN108010041B true CN108010041B (zh) | 2020-08-11 |
Family
ID=62060569
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711400356.4A Active CN108010041B (zh) | 2017-12-22 | 2017-12-22 | 一种人体心脏冠脉提取方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108010041B (zh) |
Families Citing this family (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110148129B (zh) * | 2018-05-24 | 2021-10-01 | 深圳科亚医疗科技有限公司 | 3d图像的分割学习网络的训练方法、分割方法、分割装置和介质 |
CN109272510B (zh) * | 2018-07-24 | 2021-06-04 | 清华大学 | 一种三维医学图像中管状结构的分割方法 |
CN109087352B (zh) * | 2018-08-16 | 2021-07-13 | 数坤(北京)网络科技股份有限公司 | 一种心脏冠脉优势型自动判别方法 |
CN109146872B (zh) * | 2018-09-03 | 2021-12-17 | 北京邮电大学 | 基于深度学习和光流法的心脏冠状动脉影像分割识别方法 |
CN109360209B (zh) * | 2018-09-30 | 2020-04-14 | 语坤(北京)网络科技有限公司 | 一种冠状血管分割方法及系统 |
CN109389606B (zh) * | 2018-09-30 | 2019-12-27 | 语坤(北京)网络科技有限公司 | 一种冠状动脉分割方法及装置 |
CN109360214B (zh) * | 2018-10-05 | 2021-07-13 | 数坤(北京)网络科技股份有限公司 | 用于冠脉分割的多通道网络预测优化方法 |
CN109325948B (zh) * | 2018-10-09 | 2019-12-27 | 数坤(北京)网络科技有限公司 | 一种基于特殊区域优化的冠状动脉分割方法及装置 |
CN109636804A (zh) * | 2018-10-10 | 2019-04-16 | 浙江大学 | 一种基于多粒度级联的人体图像分割方法 |
CN109584223A (zh) * | 2018-11-20 | 2019-04-05 | 北京中科研究院 | Ct图像中肺部血管分割方法 |
CN109741335B (zh) * | 2018-11-28 | 2021-05-14 | 北京理工大学 | 血管oct图像中血管壁及血流区域的分割方法与装置 |
CN109682596B (zh) * | 2018-12-20 | 2020-11-13 | 南京航空航天大学 | 非均衡样本下高速重载输入级故障诊断方法 |
CN111488878A (zh) * | 2019-01-29 | 2020-08-04 | 镇江慧影科技发展有限公司 | 一种基于伪彩色ct图像的深度学习分割方法 |
CN109859140A (zh) * | 2019-02-15 | 2019-06-07 | 数坤(北京)网络科技有限公司 | 一种用于医疗图像的修复方法及设备 |
CN109872336B (zh) * | 2019-03-13 | 2021-07-09 | 数坤(北京)网络科技股份有限公司 | 一种血管分割方法、设备及计算机存储介质 |
CN110197206B (zh) * | 2019-05-10 | 2021-07-13 | 杭州深睿博联科技有限公司 | 图像处理的方法及装置 |
CN110428431B (zh) * | 2019-07-12 | 2022-12-16 | 广东省人民医院(广东省医学科学院) | 一种心脏医学图像的分割方法、装置、设备及存储介质 |
CN110796613B (zh) * | 2019-10-10 | 2023-09-26 | 东软医疗系统股份有限公司 | 一种图像伪影的自动识别方法及装置 |
CN111127430A (zh) * | 2019-12-24 | 2020-05-08 | 北京推想科技有限公司 | 确定医学影像显示参数的方法及装置 |
CN111312374B (zh) * | 2020-01-21 | 2024-03-22 | 上海联影智能医疗科技有限公司 | 医学图像处理方法、装置、存储介质及计算机设备 |
KR102375775B1 (ko) * | 2020-02-10 | 2022-03-21 | 주식회사 메디픽셀 | 혈관 영상에 기초한 주요 혈관 영역 추출 방법 및 장치 |
CN111292314B (zh) * | 2020-03-03 | 2024-05-24 | 上海联影智能医疗科技有限公司 | 冠脉分段方法、装置、图像处理系统和存储介质 |
CN113837985B (zh) * | 2020-06-24 | 2023-11-07 | 上海博动医疗科技股份有限公司 | 用于血管造影图像处理的训练方法和装置、自动处理方法和装置 |
CN112037186A (zh) * | 2020-08-24 | 2020-12-04 | 杭州深睿博联科技有限公司 | 一种基于多视图模型融合的冠脉血管提取方法及装置 |
CN112837306B (zh) * | 2021-02-20 | 2022-11-22 | 薛竟宜 | 基于深度学习和中智理论的冠状动脉病变功能学定量方法 |
CN113674253B (zh) * | 2021-08-25 | 2023-06-30 | 浙江财经大学 | 基于U-Transformer的直肠癌CT影像自动分割方法 |
CN114155193B (zh) * | 2021-10-27 | 2022-07-26 | 北京医准智能科技有限公司 | 一种基于特征强化的血管分割方法及装置 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2015044433A1 (en) * | 2013-09-27 | 2015-04-02 | Koninklijke Philips N.V. | Merging vessel maps |
CN105701799A (zh) * | 2015-12-31 | 2016-06-22 | 东软集团股份有限公司 | 从肺部掩膜影像中分割肺血管的方法和装置 |
CN105825509A (zh) * | 2016-03-17 | 2016-08-03 | 电子科技大学 | 基于3d卷积神经网络的脑血管分割方法 |
CN106097338A (zh) * | 2016-06-08 | 2016-11-09 | 孙凯 | 心脏头颈部血管联合成像方法 |
-
2017
- 2017-12-22 CN CN201711400356.4A patent/CN108010041B/zh active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2015044433A1 (en) * | 2013-09-27 | 2015-04-02 | Koninklijke Philips N.V. | Merging vessel maps |
CN105701799A (zh) * | 2015-12-31 | 2016-06-22 | 东软集团股份有限公司 | 从肺部掩膜影像中分割肺血管的方法和装置 |
CN105825509A (zh) * | 2016-03-17 | 2016-08-03 | 电子科技大学 | 基于3d卷积神经网络的脑血管分割方法 |
CN106097338A (zh) * | 2016-06-08 | 2016-11-09 | 孙凯 | 心脏头颈部血管联合成像方法 |
Non-Patent Citations (4)
Title |
---|
《CT Metal Artifact Reduction Method Based on Improved Image Segmentation and Sinogram In-Painting》;Yang Chen,et al。;《Mathematical Problems in Engineering》;20120627;第2012卷;第1-18页 * |
《Estimation CT Image from MRI Data Using 3D Fully Convolutional Networks》;Done Nie,et al.;《Deep Learn Data Label Med Appl》;20160927;第170-178页 * |
《基于全卷积神经网络的肝脏CT影像分割研究》;郭树旭,等;《计算机工程与应用》;20170930;第53卷(第18期);第126-131页 * |
《基于多模态卷积神经网络的脑血管提取方法研究》;秦志光,等;《电子科技大学学报》;20160731;第45卷(第4期);第573-581页 * |
Also Published As
Publication number | Publication date |
---|---|
CN108010041A (zh) | 2018-05-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108010041B (zh) | 一种人体心脏冠脉提取方法 | |
CN108171698B (zh) | 一种自动检测人体心脏冠脉钙化斑块的方法 | |
CN111797716B (zh) | 一种基于Siamese网络的单目标跟踪方法 | |
CN107274419B (zh) | 一种基于全局先验和局部上下文的深度学习显著性检测方法 | |
CN108765363B (zh) | 一种基于人工智能的冠脉cta自动后处理系统 | |
CN106570486B (zh) | 基于特征融合和贝叶斯分类的核相关滤波目标跟踪方法 | |
CN106997597B (zh) | 一种基于有监督显著性检测的目标跟踪方法 | |
CN110378288B (zh) | 一种基于深度学习的多级时空运动目标检测方法 | |
US9042648B2 (en) | Salient object segmentation | |
US8280165B2 (en) | System and method for segmenting foreground and background in a video | |
CN108596102B (zh) | 基于rgb-d的室内场景物体分割分类器构造方法 | |
CN109460764B (zh) | 一种结合亮度特征与改进帧间差分法的卫星视频船舶监测方法 | |
TW200834459A (en) | Video object segmentation method applied for rainy situations | |
CN107564022A (zh) | 基于贝叶斯融合的视频显著性检测方法 | |
CN107909079B (zh) | 一种协同显著性检测方法 | |
CN108022244B (zh) | 一种基于前景和背景种子用于显著目标检测的超图优化方法 | |
CN105741319B (zh) | 基于盲目更新策略和前景模型的改进视觉背景提取方法 | |
CN114117614A (zh) | 一种建筑物立面纹理自动生成方法和系统 | |
CN109215047B (zh) | 基于深海视频的运动目标检测方法和装置 | |
CN106169186A (zh) | 基于水平集运动目标检测中获取初始轮廓的方法 | |
CN106407978B (zh) | 一种结合似物度的无约束视频中显著物体检测方法 | |
CN114943888B (zh) | 基于多尺度信息融合的海面小目标检测方法 | |
CN109872337B (zh) | 一种基于快速均值移位的眼底图像视盘分割方法 | |
CN114862707A (zh) | 一种多尺度特征恢复图像增强方法、装置及存储介质 | |
Lai et al. | Single image dehazing with optimal transmission map |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP03 | Change of name, title or address |
Address after: 100120 rooms 303, 304, 305, 321 and 322, building 3, No. 11, Chuangxin Road, science and Technology Park, Changping District, Beijing Patentee after: Shukun (Beijing) Network Technology Co.,Ltd. Address before: 100020 11th floor, No.1 andingmenwai street, Chaoyang District, Beijing (no.d416 anzhen incubator) Patentee before: SHUKUN (BEIJING) NETWORK TECHNOLOGY Co.,Ltd. |
|
CP03 | Change of name, title or address | ||
TR01 | Transfer of patent right |
Effective date of registration: 20230112 Address after: 200,030 Room 307, Area A, Floor 2, No.420 Fenglin Road, Xuhui District, Shanghai Patentee after: Shukun (Shanghai) Medical Technology Co.,Ltd. Address before: 100120 rooms 303, 304, 305, 321 and 322, building 3, No. 11, Chuangxin Road, science and Technology Park, Changping District, Beijing Patentee before: Shukun (Beijing) Network Technology Co.,Ltd. |
|
TR01 | Transfer of patent right |