WO2018055026A1 - Method and apparatus for correcting dynamic models obtained by tracking methods - Google Patents
Method and apparatus for correcting dynamic models obtained by tracking methods Download PDFInfo
- Publication number
- WO2018055026A1 WO2018055026A1 PCT/EP2017/073880 EP2017073880W WO2018055026A1 WO 2018055026 A1 WO2018055026 A1 WO 2018055026A1 EP 2017073880 W EP2017073880 W EP 2017073880W WO 2018055026 A1 WO2018055026 A1 WO 2018055026A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- images
- time
- dynamic model
- time section
- representation
- 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.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—Two-dimensional [2D] image generation
- G06T11/20—Drawing from basic elements
- G06T11/26—Drawing of charts or graphs
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—Two-dimensional [2D] image generation
- G06T11/60—Creating or editing images; Combining images with text
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating three-dimensional [3D] models or images for computer graphics
- G06T19/20—Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/20—Linear translation of whole images or parts thereof, e.g. panning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/60—Rotation of whole images or parts thereof
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/24—Indexing scheme for image data processing or generation, in general involving graphical user interfaces [GUIs]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
Definitions
- the moving structure can be - in the case of medical images - a moving organ, for example the human or animal heart, but also other moving organs, such as blood vessels, lung, chest, or else moving surgical instruments, e.g. a catheter.
- the invention can also be applied to the analysis of moving structures or objects in video sequences; in this case, the moving structures are e.g. other road users.
- a "moving structure" may optionally also be a static object which, however, moves relative to the camera.
- the dynamic model is registered to the images, i.e. the position of the model in relation to the image coordinates is known for every image in the series.
- the invention provides a simplified correction option by virtue of a position time section, in particular a one-dimensional position time section, being determined in the images of the time series.
- a position time section in particular a one-dimensional position time section, being determined in the images of the time series.
- this is brought about by a user in e.g. the first image of the time series; however, this can also be effectuated automatically.
- the position time section can have the same image coordinates in all images of the time series (i.e., the same position time section is used, as it were, for all images); however, the position can also be different for different images, as will still be explained in more detail below.
- the position time section is one-dimensional, e.g.
- This position-time representation permits a comparison of the computer graphical object or objects with the surrounding image content, i.e. with the (optionally interpolated) image values of the position time section, in particular by a user. As a result of this comparison, it is possible to ascertain the accuracy of the dynamic model, not only in a single image of a time series but also immediately in all images of the time series.
- the tracked dynamic model is plotted in these images schematically by dots and provided with a reference sign 4. Further, a position time section h - a straight line in this case - can be seen in the first image B1 and in the last image BN of the time series, said position time section being plotted, for example, by a user in these two images. This line hi and hN, respectively, intersects the model 4 at the point 12.
- Figure 4 shows the resulting temporal profile of the image content along the position time line h of figure 2 in a position-time representation.
- the upper point of intersection of the position time line h with the epicardium 25 is represented here by the line 35, with the lower point of intersection 27 being represented by the line 37.
- the amplitude of the signal profile of line 37 can be used within the scope of a TAPSE analysis for estimating the right ventricular function.
- Figures 7 and 8 present the case where the dynamic model 4 does not have a good correspondence with the image content in at least one image, which is depicted in figure 7.
- image content and tracked model do not move synchronously with one another.
- the lower point of intersection 27 of the position time line h with the dynamic model 4 clearly does not correspond to the tricuspid annulus, which is denoted by 27a. Instead, the model 4 would have to be extended downward in this image along the arrow 28; see figure 7.
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Radiology & Medical Imaging (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Quality & Reliability (AREA)
- Multimedia (AREA)
- Architecture (AREA)
- Computer Graphics (AREA)
- Computer Hardware Design (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Ultra Sonic Daignosis Equipment (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/335,757 US10922861B2 (en) | 2016-09-22 | 2017-09-21 | Method and apparatus for correcting dynamic models obtained by tracking methods |
| JP2019536697A JP7337694B2 (ja) | 2016-09-22 | 2017-09-21 | 追跡方法によって取得された動的モデルを補正するための方法及び装置 |
| CN201780058492.1A CN109791690B (zh) | 2016-09-22 | 2017-09-21 | 用于校正通过跟踪方法获得的动态模型的方法和装置 |
| EP17777529.3A EP3516620B1 (en) | 2016-09-22 | 2017-09-21 | Method and apparatus for correcting dynamic models obtained by tracking methods |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102016117889.6 | 2016-09-22 | ||
| DE102016117889.6A DE102016117889B3 (de) | 2016-09-22 | 2016-09-22 | Verfahren und Vorrichtung zur Korrektur von durch Tracking-Verfahren ermittelten dynamischen Modellen |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2018055026A1 true WO2018055026A1 (en) | 2018-03-29 |
Family
ID=59997335
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/EP2017/073880 Ceased WO2018055026A1 (en) | 2016-09-22 | 2017-09-21 | Method and apparatus for correcting dynamic models obtained by tracking methods |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US10922861B2 (https=) |
| EP (1) | EP3516620B1 (https=) |
| JP (1) | JP7337694B2 (https=) |
| CN (1) | CN109791690B (https=) |
| DE (1) | DE102016117889B3 (https=) |
| WO (1) | WO2018055026A1 (https=) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2020199167A (ja) * | 2019-06-12 | 2020-12-17 | ザイオソフト株式会社 | 医用画像処理装置、医用画像処理方法、及び医用画像処理プログラム |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015124388A1 (en) * | 2014-02-19 | 2015-08-27 | Koninklijke Philips N.V. | Motion adaptive visualization in medical 4d imaging |
| EP3182900B1 (en) | 2014-08-18 | 2019-09-25 | Maui Imaging, Inc. | Network-based ultrasound imaging system |
| WO2016160981A1 (en) | 2015-03-30 | 2016-10-06 | Maui Imaging, Inc. | Ultrasound imaging systems and methods for detecting object motion |
| US10856846B2 (en) | 2016-01-27 | 2020-12-08 | Maui Imaging, Inc. | Ultrasound imaging with sparse array probes |
| WO2019134757A1 (en) * | 2018-01-08 | 2019-07-11 | Brainlab Ag | Optimizing an atlas |
| CN111462177B (zh) * | 2020-03-14 | 2023-04-07 | 华中科技大学 | 一种基于多线索的在线多目标跟踪方法和系统 |
| US12109059B2 (en) * | 2020-05-19 | 2024-10-08 | Konica Minolta, Inc. | Dynamic analysis system, correction apparatus, storage medium, and dynamic imaging apparatus |
| JP7724853B2 (ja) | 2020-10-21 | 2025-08-18 | マウイ イマギング,インコーポレーテッド | 多数開口超音波を用いた組織の特徴付けのためのシステム及び方法 |
| EP4236811A4 (en) | 2020-11-02 | 2024-10-09 | Maui Imaging, Inc. | Systems and methods for improving ultrasound image quality |
| CN113850837B (zh) * | 2021-11-25 | 2022-02-08 | 腾讯科技(深圳)有限公司 | 视频处理方法、装置、电子设备、存储介质及计算机产品 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050074153A1 (en) * | 2003-09-30 | 2005-04-07 | Gianni Pedrizzetti | Method of tracking position and velocity of objects' borders in two or three dimensional digital images, particularly in echographic images |
| JP5842039B1 (ja) * | 2014-08-15 | 2016-01-13 | 日立アロカメディカル株式会社 | 超音波画像処理装置 |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4306051B2 (ja) | 1999-10-27 | 2009-07-29 | 株式会社日立メディコ | 超音波診断装置 |
| US8167802B2 (en) * | 2002-09-12 | 2012-05-01 | Hitachi Medical Corporation | Biological tissue motion trace method and image diagnosis device using the trace method |
| JP4300460B2 (ja) | 2003-02-25 | 2009-07-22 | 株式会社日立メディコ | 超音波診断装置 |
| US7421101B2 (en) * | 2003-10-02 | 2008-09-02 | Siemens Medical Solutions Usa, Inc. | System and method for local deformable motion analysis |
| US7951083B2 (en) * | 2004-02-05 | 2011-05-31 | Siemens Medical Solutions Usa, Inc. | Motion analysis improvements for medical diagnostic ultrasound |
| ATE376698T1 (de) * | 2005-05-13 | 2007-11-15 | Tomtec Imaging Syst Gmbh | Verfahren und vorrichtung für rekonstruktion der zweidimensionalen schnittbilder |
| EP1780672A1 (en) * | 2005-10-25 | 2007-05-02 | Bracco Imaging, S.P.A. | Method of registering images, algorithm for carrying out the method of registering images, a program for registering images using the said algorithm and a method of treating biomedical images to reduce imaging artefacts caused by object movement |
| US8538103B2 (en) * | 2009-02-10 | 2013-09-17 | Hitachi Medical Corporation | Medical image processing device, medical image processing method, medical image diagnostic apparatus, operation method of medical image diagnostic apparatus, and medical image display method |
| US20110262018A1 (en) * | 2010-04-27 | 2011-10-27 | MindTree Limited | Automatic Cardiac Functional Assessment Using Ultrasonic Cardiac Images |
| JP5438722B2 (ja) | 2011-06-03 | 2014-03-12 | 富士フイルム株式会社 | 超音波診断装置 |
| CN102890824B (zh) * | 2011-07-19 | 2015-07-29 | 株式会社东芝 | 运动对象轮廓跟踪方法和装置 |
| JP6511050B2 (ja) * | 2013-07-23 | 2019-05-08 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | イメージング装置を追跡装置と位置合わせする位置合わせシステム、イメージングシステム、介入システム、位置合わせ方法、イメージングシステムの作動方法、位置合わせコンピュータプログラム、及びイメージングコンピュータプログラム |
| RU2677009C2 (ru) * | 2013-10-01 | 2019-01-14 | Конинклейке Филипс Н.В. | Система и способ для определения патологии перфузии миокарда |
| WO2015068099A1 (en) * | 2013-11-05 | 2015-05-14 | Koninklijke Philips N.V. | Automated segmentation of tri-plane images for real time ultrasonic imaging |
| US9972069B2 (en) * | 2014-10-06 | 2018-05-15 | Technion Research & Development Foundation Limited | System and method for measurement of myocardial mechanical function |
-
2016
- 2016-09-22 DE DE102016117889.6A patent/DE102016117889B3/de not_active Expired - Fee Related
-
2017
- 2017-09-21 US US16/335,757 patent/US10922861B2/en active Active
- 2017-09-21 CN CN201780058492.1A patent/CN109791690B/zh active Active
- 2017-09-21 EP EP17777529.3A patent/EP3516620B1/en active Active
- 2017-09-21 WO PCT/EP2017/073880 patent/WO2018055026A1/en not_active Ceased
- 2017-09-21 JP JP2019536697A patent/JP7337694B2/ja active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050074153A1 (en) * | 2003-09-30 | 2005-04-07 | Gianni Pedrizzetti | Method of tracking position and velocity of objects' borders in two or three dimensional digital images, particularly in echographic images |
| JP5842039B1 (ja) * | 2014-08-15 | 2016-01-13 | 日立アロカメディカル株式会社 | 超音波画像処理装置 |
Non-Patent Citations (4)
| Title |
|---|
| AUGER, DOMINIQUE ET AL.: "Three-dimensional imaging in cardiac resynchronization therapy", REVISTA ESPANOLA DE CARDIOLOGIA, vol. 64, no. 11, 2011, pages 1035 - 1044, XP028319922, DOI: doi:10.1016/j.rec.2011.06.015 |
| DOMINIQUE AUGER ET AL: "Three-dimensional Imaging in Cardiac Resynchronization Therapy", REVISTA ESPANOLA DE CARDIOLOGIA, vol. 64, no. 11, 1 November 2011 (2011-11-01), pages 1035 - 1044, XP028319922, ISSN: 1885-5857, [retrieved on 20110728], DOI: 10.1016/J.REC.2011.06.015 * |
| LORSAKUL A ET AL: "Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment", ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY,EMBC, 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE, IEEE, 30 August 2011 (2011-08-30), pages 2654 - 2657, XP032319300, ISBN: 978-1-4244-4121-1, DOI: 10.1109/IEMBS.2011.6090730 * |
| LORSAKUL, AURANUCH ET AL.: "Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment", ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, EMBC, 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE. IEEE, 2011, 2011 |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2020199167A (ja) * | 2019-06-12 | 2020-12-17 | ザイオソフト株式会社 | 医用画像処理装置、医用画像処理方法、及び医用画像処理プログラム |
| JP7283985B2 (ja) | 2019-06-12 | 2023-05-30 | ザイオソフト株式会社 | 医用画像処理装置、医用画像処理方法、及び医用画像処理プログラム |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7337694B2 (ja) | 2023-09-04 |
| CN109791690B (zh) | 2023-07-14 |
| US10922861B2 (en) | 2021-02-16 |
| EP3516620A1 (en) | 2019-07-31 |
| CN109791690A (zh) | 2019-05-21 |
| US20190251724A1 (en) | 2019-08-15 |
| EP3516620B1 (en) | 2020-04-08 |
| DE102016117889B3 (de) | 2018-03-15 |
| JP2019534764A (ja) | 2019-12-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3516620B1 (en) | Method and apparatus for correcting dynamic models obtained by tracking methods | |
| JP4060615B2 (ja) | 画像処理装置及び超音波診断装置 | |
| JP5108905B2 (ja) | 3dデータセット中の画像ビューを自動的に特定する方法および装置 | |
| JP7528082B2 (ja) | 腔内プローブ処置を計画するための方法、デバイス及びシステム | |
| US5889524A (en) | Reconstruction of three-dimensional objects using labeled piecewise smooth subdivision surfaces | |
| JP5596063B2 (ja) | 心臓mモード像の自動分析 | |
| US10660613B2 (en) | Measurement point determination in medical diagnostic imaging | |
| EP3729370B1 (en) | Non-invasive electrophysiology mapping based on affordable electrocardiogram hardware and imaging | |
| JP6293495B2 (ja) | 動いている器官の標的エリア内のオブジェクトを追跡するための方法および装置 | |
| JP3725442B2 (ja) | 医用画像診断装置及びその方法 | |
| US9179890B2 (en) | Model-based positioning for intracardiac echocardiography volume stitching | |
| EP3003161B1 (en) | Method for 3d acquisition of ultrasound images | |
| US6106466A (en) | Automated delineation of heart contours from images using reconstruction-based modeling | |
| JP5271262B2 (ja) | 三次元超音波イメージングのための方法、装置及びコンピュータプログラム | |
| CN101828930B (zh) | 医用图像取得装置、医用图像处理装置、超声波图像取得装置以及超声波图像处理装置 | |
| JP2016534803A (ja) | リアルタイム超音波イメージングのトリプレーン画像の自動セグメント化 | |
| JP2003508139A (ja) | 非剛体運動画像解析 | |
| CN110458872A (zh) | 使用超声弹性成像执行生物力学驱动的图像配准的系统和方法 | |
| US9814439B2 (en) | Tissue motion comparison display | |
| van Stralen et al. | Left Ventricular Volume Estimation in Cardiac Three-dimensional Ultrasound: A Semiautomatic Border Detection Approach1 | |
| JP7132996B2 (ja) | 単一自由度の心腔セグメント化による心臓性能の超音波診断 | |
| CN115517699A (zh) | 使用4d超声导管重建器官的体积的4D壳体 | |
| Peressutti et al. | A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions | |
| Hautvast | Analysis of cardiac magnetic resonance images: towards quantification in clinical practice |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 17777529 Country of ref document: EP Kind code of ref document: A1 |
|
| ENP | Entry into the national phase |
Ref document number: 2019536697 Country of ref document: JP Kind code of ref document: A |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| ENP | Entry into the national phase |
Ref document number: 2017777529 Country of ref document: EP Effective date: 20190423 |
|
| ENP | Entry into the national phase |
Ref document number: 2017777529 Country of ref document: EP Effective date: 20190423 |