CN108596904A - 生成定位模型的方法及对脊柱矢状位图像进行处理的方法 - Google Patents
生成定位模型的方法及对脊柱矢状位图像进行处理的方法 Download PDFInfo
- Publication number
- CN108596904A CN108596904A CN201810427159.XA CN201810427159A CN108596904A CN 108596904 A CN108596904 A CN 108596904A CN 201810427159 A CN201810427159 A CN 201810427159A CN 108596904 A CN108596904 A CN 108596904A
- Authority
- CN
- China
- Prior art keywords
- bone
- image
- piece
- rumpbone
- layer
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 203
- 210000000988 bone and bone Anatomy 0.000 claims abstract description 115
- 230000008569 process Effects 0.000 claims abstract description 109
- 238000012549 training Methods 0.000 claims abstract description 67
- 238000012545 processing Methods 0.000 claims abstract description 57
- 230000004913 activation Effects 0.000 claims abstract description 13
- 230000007704 transition Effects 0.000 claims description 4
- 230000036541 health Effects 0.000 description 38
- 238000010586 diagram Methods 0.000 description 23
- 238000004891 communication Methods 0.000 description 15
- 230000000875 corresponding effect Effects 0.000 description 12
- 238000003745 diagnosis Methods 0.000 description 11
- 239000011159 matrix material Substances 0.000 description 8
- 210000000115 thoracic cavity Anatomy 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 208000020307 Spinal disease Diseases 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 5
- 238000007781 pre-processing Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000002595 magnetic resonance imaging Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 210000000038 chest Anatomy 0.000 description 2
- 239000011248 coating agent Substances 0.000 description 2
- 238000000576 coating method Methods 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000002203 pretreatment Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 208000003618 Intervertebral Disc Displacement Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 210000002364 input neuron Anatomy 0.000 description 1
- 208000037805 labour Diseases 0.000 description 1
- 238000003475 lamination Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
- A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
- A61B5/4566—Evaluating the spine
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
-
- 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
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- 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
- G06T2207/30008—Bone
- G06T2207/30012—Spine; Backbone
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
- Artificial Intelligence (AREA)
- Theoretical Computer Science (AREA)
- Biophysics (AREA)
- General Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Pathology (AREA)
- Animal Behavior & Ethology (AREA)
- Surgery (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Heart & Thoracic Surgery (AREA)
- Mathematical Physics (AREA)
- Evolutionary Computation (AREA)
- Radiology & Medical Imaging (AREA)
- Physiology (AREA)
- Signal Processing (AREA)
- Psychiatry (AREA)
- Fuzzy Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Physical Education & Sports Medicine (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Orthopedic Medicine & Surgery (AREA)
- Rheumatology (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Quality & Reliability (AREA)
- High Energy & Nuclear Physics (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Abstract
Description
卷积核个数 | 卷积核大小 | 卷积步长 | 池化窗口大小 | 层重复次数 | |
卷积层 | 64 | [3,3] | 2 | -- | 1 |
池化层 | -- | -- | -- | [2,2] | 1 |
卷积层 | 128 | [3,3] | 2 | -- | 2 |
池化层 | -- | -- | -- | [2,2] | 1 |
卷积层 | 256 | [3,3] | 2 | -- | 3 |
池化层 | -- | -- | -- | [2,2] | 3 |
卷积层 | 512 | [3,3] | 2 | -- | 3 |
池化层 | -- | -- | -- | [2,2] | 3 |
卷积层 | 512 | [3,3] | 2 | -- | 3 |
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810427159.XA CN108596904B (zh) | 2018-05-07 | 2018-05-07 | 生成定位模型的方法及对脊柱矢状位图像进行处理的方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810427159.XA CN108596904B (zh) | 2018-05-07 | 2018-05-07 | 生成定位模型的方法及对脊柱矢状位图像进行处理的方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108596904A true CN108596904A (zh) | 2018-09-28 |
CN108596904B CN108596904B (zh) | 2020-09-29 |
Family
ID=63621060
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810427159.XA Active CN108596904B (zh) | 2018-05-07 | 2018-05-07 | 生成定位模型的方法及对脊柱矢状位图像进行处理的方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108596904B (zh) |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109697713A (zh) * | 2018-11-14 | 2019-04-30 | 吉林大学 | 基于深度学习和空间关系推理的椎间盘定位标注方法 |
CN110222681A (zh) * | 2019-05-31 | 2019-09-10 | 华中科技大学 | 一种基于卷积神经网络的铸件缺陷识别方法 |
CN110223279A (zh) * | 2019-05-31 | 2019-09-10 | 上海商汤智能科技有限公司 | 一种图像处理方法和装置、电子设备 |
CN110544245A (zh) * | 2019-08-30 | 2019-12-06 | 北京推想科技有限公司 | 图像处理方法、装置、计算机可读存储介质及电子设备 |
CN110916695A (zh) * | 2019-11-05 | 2020-03-27 | 东软医疗系统股份有限公司 | 确定脊柱扫描视野的方法、装置及图像处理设备 |
CN111652300A (zh) * | 2020-05-27 | 2020-09-11 | 联影智能医疗科技(北京)有限公司 | 脊柱曲度分类方法、计算机设备和存储介质 |
CN112734740A (zh) * | 2021-01-18 | 2021-04-30 | 推想医疗科技股份有限公司 | 训练目标检测模型的方法、目标检测的方法及其装置 |
CN113674261A (zh) * | 2021-08-26 | 2021-11-19 | 上海脊影慧智能科技有限公司 | 骨骼检测方法、系统、电子设备和存储介质 |
CN115797698A (zh) * | 2022-12-13 | 2023-03-14 | 北京大学第三医院(北京大学第三临床医学院) | 一种骨骼矢状位平衡参数检测系统 |
CN115797307A (zh) * | 2022-12-13 | 2023-03-14 | 北京大学第三医院(北京大学第三临床医学院) | 一种骨骼冠状位平衡参数检测系统 |
CN116630427A (zh) * | 2023-07-24 | 2023-08-22 | 杭州键嘉医疗科技股份有限公司 | 一种ct图像中髋骨和股骨自动定位的方法及装置 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105787439A (zh) * | 2016-02-04 | 2016-07-20 | 广州新节奏智能科技有限公司 | 一种基于卷积神经网络的深度图像人体关节定位方法 |
CN107451568A (zh) * | 2017-08-03 | 2017-12-08 | 重庆邮电大学 | 使用深度卷积神经网络的姿态检测方法及设备 |
WO2018057714A1 (en) * | 2016-09-21 | 2018-03-29 | The General Hospital Corporation | Systems, methods and media for automatically generating a bone age assessment from a radiograph |
CN107895367A (zh) * | 2017-11-14 | 2018-04-10 | 中国科学院深圳先进技术研究院 | 一种骨龄识别方法、系统及电子设备 |
CN107977971A (zh) * | 2017-11-09 | 2018-05-01 | 哈尔滨理工大学 | 基于卷积神经网络的椎骨定位的方法 |
-
2018
- 2018-05-07 CN CN201810427159.XA patent/CN108596904B/zh active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105787439A (zh) * | 2016-02-04 | 2016-07-20 | 广州新节奏智能科技有限公司 | 一种基于卷积神经网络的深度图像人体关节定位方法 |
WO2018057714A1 (en) * | 2016-09-21 | 2018-03-29 | The General Hospital Corporation | Systems, methods and media for automatically generating a bone age assessment from a radiograph |
CN107451568A (zh) * | 2017-08-03 | 2017-12-08 | 重庆邮电大学 | 使用深度卷积神经网络的姿态检测方法及设备 |
CN107977971A (zh) * | 2017-11-09 | 2018-05-01 | 哈尔滨理工大学 | 基于卷积神经网络的椎骨定位的方法 |
CN107895367A (zh) * | 2017-11-14 | 2018-04-10 | 中国科学院深圳先进技术研究院 | 一种骨龄识别方法、系统及电子设备 |
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109697713A (zh) * | 2018-11-14 | 2019-04-30 | 吉林大学 | 基于深度学习和空间关系推理的椎间盘定位标注方法 |
CN109697713B (zh) * | 2018-11-14 | 2022-09-02 | 吉林大学 | 基于深度学习和空间关系推理的椎间盘定位标注方法 |
CN110223279B (zh) * | 2019-05-31 | 2021-10-08 | 上海商汤智能科技有限公司 | 一种图像处理方法和装置、电子设备 |
CN110222681A (zh) * | 2019-05-31 | 2019-09-10 | 华中科技大学 | 一种基于卷积神经网络的铸件缺陷识别方法 |
CN110223279A (zh) * | 2019-05-31 | 2019-09-10 | 上海商汤智能科技有限公司 | 一种图像处理方法和装置、电子设备 |
WO2020238007A1 (zh) * | 2019-05-31 | 2020-12-03 | 上海商汤智能科技有限公司 | 一种图像处理方法和装置、电子设备 |
CN110544245A (zh) * | 2019-08-30 | 2019-12-06 | 北京推想科技有限公司 | 图像处理方法、装置、计算机可读存储介质及电子设备 |
CN110916695A (zh) * | 2019-11-05 | 2020-03-27 | 东软医疗系统股份有限公司 | 确定脊柱扫描视野的方法、装置及图像处理设备 |
CN111652300A (zh) * | 2020-05-27 | 2020-09-11 | 联影智能医疗科技(北京)有限公司 | 脊柱曲度分类方法、计算机设备和存储介质 |
CN112734740A (zh) * | 2021-01-18 | 2021-04-30 | 推想医疗科技股份有限公司 | 训练目标检测模型的方法、目标检测的方法及其装置 |
CN112734740B (zh) * | 2021-01-18 | 2024-02-23 | 推想医疗科技股份有限公司 | 训练目标检测模型的方法、目标检测的方法及其装置 |
CN113674261A (zh) * | 2021-08-26 | 2021-11-19 | 上海脊影慧智能科技有限公司 | 骨骼检测方法、系统、电子设备和存储介质 |
CN115797698A (zh) * | 2022-12-13 | 2023-03-14 | 北京大学第三医院(北京大学第三临床医学院) | 一种骨骼矢状位平衡参数检测系统 |
CN115797307A (zh) * | 2022-12-13 | 2023-03-14 | 北京大学第三医院(北京大学第三临床医学院) | 一种骨骼冠状位平衡参数检测系统 |
CN115797698B (zh) * | 2022-12-13 | 2023-07-14 | 北京大学第三医院(北京大学第三临床医学院) | 一种骨骼矢状位平衡参数检测系统 |
CN115797307B (zh) * | 2022-12-13 | 2023-08-08 | 北京大学第三医院(北京大学第三临床医学院) | 一种骨骼冠状位平衡参数检测系统 |
CN116630427A (zh) * | 2023-07-24 | 2023-08-22 | 杭州键嘉医疗科技股份有限公司 | 一种ct图像中髋骨和股骨自动定位的方法及装置 |
CN116630427B (zh) * | 2023-07-24 | 2023-10-31 | 杭州键嘉医疗科技股份有限公司 | 一种ct图像中髋骨和股骨自动定位的方法及装置 |
Also Published As
Publication number | Publication date |
---|---|
CN108596904B (zh) | 2020-09-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108596904A (zh) | 生成定位模型的方法及对脊柱矢状位图像进行处理的方法 | |
WO2020215984A1 (zh) | 基于深度学习的医学图像检测方法及相关设备 | |
US11887311B2 (en) | Method and apparatus for segmenting a medical image, and storage medium | |
CN108022238B (zh) | 对3d图像中对象进行检测的方法、计算机存储介质和系统 | |
US20200327721A1 (en) | Autonomous level identification of anatomical bony structures on 3d medical imagery | |
CN108830835A (zh) | 识别脊柱矢状位图像异常的方法及计算设备 | |
CN107977665A (zh) | 一种发票中关键信息的识别方法及计算设备 | |
CN109872333A (zh) | 医学影像分割方法、装置、计算机设备和存储介质 | |
Deng et al. | Classification of breast density categories based on SE-Attention neural networks | |
CN107977969A (zh) | 一种内窥镜荧光图像的分割方法、装置及存储介质 | |
CN110176012A (zh) | 图像中的目标分割方法、池化方法、装置及存储介质 | |
CN109903268A (zh) | 确定脊柱图像集的异常类型的方法及计算设备 | |
CN111369576A (zh) | 图像分割模型的训练方法、图像分割方法、装置及设备 | |
CN111768375B (zh) | 一种基于cwam的非对称gm多模态融合显著性检测方法及系统 | |
CN109903269B (zh) | 确定脊柱横断面图像的异常类型的方法及计算设备 | |
CN108634934A (zh) | 对脊柱矢状位图像进行处理的方法和设备 | |
CN110533639B (zh) | 一种关键点定位方法及装置 | |
US20120053446A1 (en) | Voting in image processing | |
CN109409432B (zh) | 一种图像处理方法、装置和存储介质 | |
CN110517254A (zh) | 基于深度学习的临床靶区自动勾画方法、装置及相关设备 | |
EP3107031A1 (en) | Method, apparatus and system for spine labeling | |
CN108564044A (zh) | 一种确定肺结节密度的方法及装置 | |
CN114998374A (zh) | 基于位置先验的图像分割方法、装置、设备和存储介质 | |
CN115861716B (zh) | 基于孪生神经网络和影像组学的胶质瘤分类方法及装置 | |
CN115760813A (zh) | 螺钉通道生成方法、装置、设备、介质和程序产品 |
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 | ||
CB03 | Change of inventor or designer information |
Inventor after: Zhang Yiling Inventor after: Liu Xingyu Inventor after: An Yicheng Inventor before: Zhang Yiling Inventor before: Liu Xingyu Inventor before: An Yicheng Inventor before: Zhang Yundong |
|
CB03 | Change of inventor or designer information | ||
CB03 | Change of inventor or designer information | ||
CB03 | Change of inventor or designer information |
Inventor after: Zhang Yiling Inventor after: Liu Xingyu Inventor before: Zhang Yiling Inventor before: Liu Xingyu Inventor before: An Yicheng |
|
CP02 | Change in the address of a patent holder | ||
CP02 | Change in the address of a patent holder |
Address after: 100176 2201, 22 / F, building 1, yard 2, Ronghua South Road, Beijing Economic and Technological Development Zone, Daxing District, Beijing Patentee after: BEIJING CHANGMUGU MEDICAL TECHNOLOGY Co.,Ltd. Address before: 100080 room 602-5, 6 / F, No. 52, North Fourth Ring Road West, Haidian District, Beijing Patentee before: BEIJING CHANGMUGU MEDICAL TECHNOLOGY Co.,Ltd. |
|
CP03 | Change of name, title or address | ||
CP03 | Change of name, title or address |
Address after: 100176 2201, 22 / F, building 1, yard 2, Ronghua South Road, Beijing Economic and Technological Development Zone, Daxing District, Beijing Patentee after: Beijing Changmugu Medical Technology Co.,Ltd. Address before: 100080 room 602-5, 6 / F, No. 52, North Fourth Ring Road West, Haidian District, Beijing Patentee before: BEIJING CHANGMUGU MEDICAL TECHNOLOGY Co.,Ltd. |