CN108717695B - 心脏冠脉血管自动分段命名方法 - Google Patents
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- 210000004351 coronary vessel Anatomy 0.000 title claims abstract description 103
- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000011218 segmentation Effects 0.000 title claims abstract description 8
- 210000004204 blood vessel Anatomy 0.000 claims abstract description 116
- 201000001779 Leukocyte adhesion deficiency Diseases 0.000 claims description 7
- 230000000717 retained effect Effects 0.000 claims description 3
- 102100030931 Ladinin-1 Human genes 0.000 description 8
- 230000002452 interceptive effect Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 210000000709 aorta Anatomy 0.000 description 2
- 230000001746 atrial effect Effects 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 201000008103 leukocyte adhesion deficiency 3 Diseases 0.000 description 2
- 101710177601 Ladinin-1 Proteins 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 210000005246 left atrium Anatomy 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/02007—Evaluating blood vessel condition, e.g. elasticity, compliance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
- G06F40/295—Named entity recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
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- 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
- G06T2207/10004—Still image; Photographic image
- G06T2207/10012—Stereo images
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- 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
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- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Engineering & Computer Science (AREA)
- Pathology (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- Radiology & Medical Imaging (AREA)
- Vascular Medicine (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Biophysics (AREA)
- Quality & Reliability (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Apparatus For Radiation Diagnosis (AREA)
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Abstract
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CN201810379289.0A CN108717695B (zh) | 2018-04-25 | 2018-04-25 | 心脏冠脉血管自动分段命名方法 |
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CN201810379289.0A CN108717695B (zh) | 2018-04-25 | 2018-04-25 | 心脏冠脉血管自动分段命名方法 |
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CN108717695A CN108717695A (zh) | 2018-10-30 |
CN108717695B true CN108717695B (zh) | 2021-07-13 |
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Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109545334B (zh) * | 2018-11-19 | 2021-09-28 | 深圳开立生物医疗科技股份有限公司 | 一种图像标记方法及装置 |
CN110517279B (zh) * | 2019-09-20 | 2022-04-05 | 北京深睿博联科技有限责任公司 | 头颈血管中心线提取方法及装置 |
CN111145313A (zh) * | 2019-12-30 | 2020-05-12 | 北京东方逸腾数码医疗设备技术有限公司 | 血管矢量图模型中添加单点定位图例的方法及装置 |
CN111192347A (zh) * | 2019-12-30 | 2020-05-22 | 北京东方逸腾数码医疗设备技术有限公司 | 血管矢量图模型中添加双点定位图例的方法及装置 |
CN111311583B (zh) * | 2020-02-24 | 2021-03-12 | 广州柏视医疗科技有限公司 | 肺气管和血管的分段命名方法 |
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 |
CN111932497B (zh) * | 2020-06-30 | 2021-02-09 | 数坤(北京)网络科技有限公司 | 一种冠状动脉识别方法及装置 |
CN111882527B (zh) * | 2020-07-14 | 2021-12-21 | 上海商汤智能科技有限公司 | 图像处理方法及装置、电子设备和存储介质 |
CN112017176B (zh) * | 2020-09-08 | 2024-08-09 | 杭州深睿博联科技有限公司 | 一种心脏冠脉血管的自动化命名方法及装置 |
CN112150465B (zh) * | 2020-11-24 | 2022-05-13 | 数坤(北京)网络科技股份有限公司 | 一种血管命名方法和装置 |
CN118172362B (zh) * | 2024-05-14 | 2024-08-16 | 柏意慧心(杭州)网络科技有限公司 | 心脏冠脉血管分段命名方法、装置、设备和存储介质 |
Citations (6)
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WO2014091339A1 (en) * | 2012-12-11 | 2014-06-19 | Koninklijke Philips N.V. | Method of determining the blood flow through coronary arteries |
CN106097298A (zh) * | 2016-05-27 | 2016-11-09 | 中国人民解放军第三军医大学 | 基于球空间划分的冠状动脉自动分段与解剖学标记方法 |
CN107330888A (zh) * | 2017-07-11 | 2017-11-07 | 中国人民解放军第三军医大学 | 基于cta图像的动态心脏各腔室分割方法 |
CN107392922A (zh) * | 2017-07-18 | 2017-11-24 | 东南大学 | 基于对称性匹配滤波器组和区域生长的三维血管分割方法 |
CN107610117A (zh) * | 2017-09-18 | 2018-01-19 | 广州慧扬健康科技有限公司 | 冠状动脉管腔图像自动分割系统 |
CN107945169A (zh) * | 2017-12-01 | 2018-04-20 | 中国人民解放军第三军医大学 | 一种冠状动脉影像分析方法及数据结构 |
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---|---|---|---|---|
US9119590B2 (en) * | 2010-02-18 | 2015-09-01 | Los Angeles Biomedical Research Institute At Harbor-Ucla Medical Center | Method for thoracic vertebral bone density measurement by thoracic quantitative computed tomography |
JP6864298B2 (ja) * | 2016-09-21 | 2021-04-28 | アナリティクス フォー ライフ インコーポレイテッド | リスクのある心臓組織の可視化のための方法およびシステム |
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2018
- 2018-04-25 CN CN201810379289.0A patent/CN108717695B/zh active Active
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WO2014091339A1 (en) * | 2012-12-11 | 2014-06-19 | Koninklijke Philips N.V. | Method of determining the blood flow through coronary arteries |
CN106097298A (zh) * | 2016-05-27 | 2016-11-09 | 中国人民解放军第三军医大学 | 基于球空间划分的冠状动脉自动分段与解剖学标记方法 |
CN107330888A (zh) * | 2017-07-11 | 2017-11-07 | 中国人民解放军第三军医大学 | 基于cta图像的动态心脏各腔室分割方法 |
CN107392922A (zh) * | 2017-07-18 | 2017-11-24 | 东南大学 | 基于对称性匹配滤波器组和区域生长的三维血管分割方法 |
CN107610117A (zh) * | 2017-09-18 | 2018-01-19 | 广州慧扬健康科技有限公司 | 冠状动脉管腔图像自动分割系统 |
CN107945169A (zh) * | 2017-12-01 | 2018-04-20 | 中国人民解放军第三军医大学 | 一种冠状动脉影像分析方法及数据结构 |
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3D全心冠状动脉MRI技术;安靖等;《磁共振成像》;20130120;第33-37页 * |
Coronary CT Angiography in Heavily Calcified Coronary Arteries: Improvement of Coronary Lumen Visualization and Coronary Stenosis Assessment With Image Postprocessing Methods;Zhonghua Sun等;《Medicine (Baltimore)》;20151207;第1-10页 * |
冠状动脉病变评分系统设计与实现;揭海军;《中国优秀硕士学位论文全文数据库医药卫生科技辑》;20160215;第E062-36页 * |
冠状动脉的分段;panyunbo;《http://www.360doc.com/content/15/1218/10/15645340_521238656.shtml》;20151218;第1页 * |
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