CN110785674B - 医学成像系统、操作医学成像系统的方法及计算机可读介质 - Google Patents
医学成像系统、操作医学成像系统的方法及计算机可读介质 Download PDFInfo
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- CN110785674B CN110785674B CN201880033108.7A CN201880033108A CN110785674B CN 110785674 B CN110785674 B CN 110785674B CN 201880033108 A CN201880033108 A CN 201880033108A CN 110785674 B CN110785674 B CN 110785674B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/4828—Resolving the MR signals of different chemical species, e.g. water-fat imaging
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/5608—Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/58—Calibration of imaging systems, e.g. using test probes, Phantoms; Calibration objects or fiducial markers such as active or passive RF coils surrounding an MR active material
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- 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
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- 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
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
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- 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
- G06T2207/20112—Image segmentation details
- G06T2207/20128—Atlas-based segmentation
-
- 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
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- High Energy & Nuclear Physics (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Quality & Reliability (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP17161811.9 | 2017-03-20 | ||
| EP17161811.9A EP3379281A1 (en) | 2017-03-20 | 2017-03-20 | Image segmentation using reference gray scale values |
| PCT/EP2018/056475 WO2018172169A1 (en) | 2017-03-20 | 2018-03-15 | Image segmentation using reference gray scale values |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110785674A CN110785674A (zh) | 2020-02-11 |
| CN110785674B true CN110785674B (zh) | 2022-09-16 |
Family
ID=58398045
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880033108.7A Active CN110785674B (zh) | 2017-03-20 | 2018-03-15 | 医学成像系统、操作医学成像系统的方法及计算机可读介质 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11249160B2 (enExample) |
| EP (2) | EP3379281A1 (enExample) |
| JP (1) | JP2020513975A (enExample) |
| CN (1) | CN110785674B (enExample) |
| WO (1) | WO2018172169A1 (enExample) |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10753997B2 (en) * | 2017-08-10 | 2020-08-25 | Siemens Healthcare Gmbh | Image standardization using generative adversarial networks |
| US11080857B2 (en) * | 2018-04-26 | 2021-08-03 | NeuralSeg Ltd. | Systems and methods for segmenting an image |
| EP3644275A1 (en) * | 2018-10-22 | 2020-04-29 | Koninklijke Philips N.V. | Predicting correctness of algorithmic segmentation |
| WO2020110774A1 (ja) * | 2018-11-30 | 2020-06-04 | 富士フイルム株式会社 | 画像処理装置、画像処理方法、及びプログラム |
| CN110443121A (zh) * | 2019-06-25 | 2019-11-12 | 国网福建省电力有限公司检修分公司 | 一种提高阀厅地面水迹识别率的方法 |
| CN112834541B (zh) * | 2020-01-03 | 2022-07-29 | 上海纽迈电子科技有限公司 | 一种钠含量及钠分布的测试方法 |
| US11756240B2 (en) * | 2020-02-28 | 2023-09-12 | Shanghai United Imaging Intelligence Co., Ltd. | Plugin and dynamic image modality reconstruction interface device |
| WO2021251885A1 (en) * | 2020-06-10 | 2021-12-16 | Corsmed Ab | A method directed to magnetic resonance imaging simulation |
| JP2022044508A (ja) * | 2020-09-07 | 2022-03-17 | 国立大学法人 東京大学 | 装置、プログラム、方法及び試料セット |
| JP7762712B2 (ja) * | 2020-09-18 | 2025-10-30 | コルスメド アクチエボラグ | 磁気共鳴(mr)イメージングシミュレーションを対象とする方法 |
| US20220101518A1 (en) * | 2020-09-25 | 2022-03-31 | GE Precision Healthcare LLC | System and method for stylizing a medical image |
| CN114500498B (zh) * | 2021-12-28 | 2023-12-08 | 武汉联影医疗科技有限公司 | Dicom文件传输与存储方法、系统、设备及存储介质 |
| CN113744850A (zh) * | 2021-09-06 | 2021-12-03 | 上海康达卡勒幅医疗科技有限公司 | 非配对多中心磁共振数据和谐化方法、存储介质及应用 |
| CN113920065B (zh) * | 2021-09-18 | 2023-04-28 | 天津大学 | 用于工业现场的视觉检测系统成像质量评价方法 |
| CN114862799B (zh) * | 2022-05-10 | 2023-06-23 | 同心医联科技(北京)有限公司 | 一种用于flair-mri序列的全自动脑体积分割方法 |
| CN117640932B (zh) * | 2024-01-25 | 2024-04-26 | 陕西通达伟业医疗供应链管理有限公司 | 用于远程医疗的神经内科图像压缩传输方法 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101334895A (zh) * | 2008-08-07 | 2008-12-31 | 清华大学 | 一种针对动态增强乳腺磁共振影像序列的影像分割方法 |
| CN101727660A (zh) * | 2008-11-03 | 2010-06-09 | 西门子公司 | 对根据1点迪克森重构的脂肪和水图像的鲁棒分类 |
| CN101848678A (zh) * | 2007-11-06 | 2010-09-29 | 皇家飞利浦电子股份有限公司 | 用于ct体积中的新生脉管系统量化的系统 |
| CN103917166A (zh) * | 2011-08-17 | 2014-07-09 | Vp诊断公司 | 一种表征颈动脉斑块的方法和系统 |
| CN106133790A (zh) * | 2014-03-28 | 2016-11-16 | 皇家飞利浦有限公司 | 用于在组织种类分离的帮助下基于磁共振图像生成一幅或多幅计算机断层摄影图像的方法和设备 |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6965235B1 (en) | 2003-07-24 | 2005-11-15 | General Electric Company | Apparatus to simulate MR properties of human brain for MR applications evaluation |
| WO2005055008A2 (en) | 2003-11-26 | 2005-06-16 | Viatronix Incorporated | Automated segmentation, visualization and analysis of medical images |
| WO2006021920A1 (en) | 2004-08-25 | 2006-03-02 | Philips Intellectual Property & Standards Gmbh | Mr method of determining local relaxation time values using calibrated phantom |
| US9047539B2 (en) * | 2008-05-21 | 2015-06-02 | Koninklijke Philips N.V. | Medical workflow systems and methods with process workflow recordation |
| JP5619448B2 (ja) * | 2009-08-20 | 2014-11-05 | 株式会社東芝 | 磁気共鳴イメージング装置 |
| US20110188720A1 (en) * | 2010-02-02 | 2011-08-04 | General Electric Company | Method and system for automated volume of interest segmentation |
| WO2011106440A1 (en) * | 2010-02-23 | 2011-09-01 | Loma Linda University Medical Center | Method of analyzing a medical image |
| WO2012049584A1 (en) * | 2010-10-13 | 2012-04-19 | Koninklijke Philips Electronics N.V. | Mri phantom with a plurality of compartments for t1 calibration |
| EP2646978A1 (en) * | 2010-12-01 | 2013-10-09 | BrainLAB AG | Longitudinal monitoring of pathology |
| US20130090946A1 (en) | 2011-10-05 | 2013-04-11 | Thomas Kwok-Fah Foo | Systems and methods for imaging workflow |
| JP6214563B2 (ja) * | 2012-01-27 | 2017-10-18 | コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. | 定量的t1マッピングを用いた、リスクに晒されたエリアの自動化された検出 |
| RU2626025C2 (ru) * | 2012-07-16 | 2017-07-21 | Конинклейке Филипс Н.В. | Предсказание, определение количественных оценок и классификация контрастности магнитно-резонансного изображения, используя уравнение количественной оценки сигнала контрастности |
| EP3767630A1 (en) * | 2014-01-17 | 2021-01-20 | Arterys Inc. | Methods for four dimensional (4d) flow magnetic resonance imaging |
| EP2930636A1 (en) | 2014-04-08 | 2015-10-14 | Camelot Biomedical System srl | Method and system for the management of post-acquisition processing procedures related to biomedical images |
| WO2016076497A1 (ko) * | 2014-11-14 | 2016-05-19 | 삼성전자 주식회사 | 메타 데이터에 기초하여 영상을 디스플레이하는 방법 및 디바이스, 그에 따른 기록매체 |
-
2017
- 2017-03-20 EP EP17161811.9A patent/EP3379281A1/en not_active Withdrawn
-
2018
- 2018-03-15 WO PCT/EP2018/056475 patent/WO2018172169A1/en not_active Ceased
- 2018-03-15 JP JP2019551642A patent/JP2020513975A/ja active Pending
- 2018-03-15 CN CN201880033108.7A patent/CN110785674B/zh active Active
- 2018-03-15 US US16/493,551 patent/US11249160B2/en active Active
- 2018-03-15 EP EP18712539.8A patent/EP3602095A1/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101848678A (zh) * | 2007-11-06 | 2010-09-29 | 皇家飞利浦电子股份有限公司 | 用于ct体积中的新生脉管系统量化的系统 |
| CN101334895A (zh) * | 2008-08-07 | 2008-12-31 | 清华大学 | 一种针对动态增强乳腺磁共振影像序列的影像分割方法 |
| CN101727660A (zh) * | 2008-11-03 | 2010-06-09 | 西门子公司 | 对根据1点迪克森重构的脂肪和水图像的鲁棒分类 |
| CN103917166A (zh) * | 2011-08-17 | 2014-07-09 | Vp诊断公司 | 一种表征颈动脉斑块的方法和系统 |
| CN106133790A (zh) * | 2014-03-28 | 2016-11-16 | 皇家飞利浦有限公司 | 用于在组织种类分离的帮助下基于磁共振图像生成一幅或多幅计算机断层摄影图像的方法和设备 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110785674A (zh) | 2020-02-11 |
| US20200003857A1 (en) | 2020-01-02 |
| JP2020513975A (ja) | 2020-05-21 |
| WO2018172169A1 (en) | 2018-09-27 |
| EP3379281A1 (en) | 2018-09-26 |
| EP3602095A1 (en) | 2020-02-05 |
| US11249160B2 (en) | 2022-02-15 |
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