KR102842852B1 - 자기 공명 이미징을 위한 펄스 시퀀스들의 데이터베이스를 구축하는 컴퓨터 구현 방법 및 이러한 데이터베이스를 이용하여 자기 공명 이미징을 수행하는 방법 - Google Patents
자기 공명 이미징을 위한 펄스 시퀀스들의 데이터베이스를 구축하는 컴퓨터 구현 방법 및 이러한 데이터베이스를 이용하여 자기 공명 이미징을 수행하는 방법Info
- Publication number
- KR102842852B1 KR102842852B1 KR1020190081249A KR20190081249A KR102842852B1 KR 102842852 B1 KR102842852 B1 KR 102842852B1 KR 1020190081249 A KR1020190081249 A KR 1020190081249A KR 20190081249 A KR20190081249 A KR 20190081249A KR 102842852 B1 KR102842852 B1 KR 102842852B1
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- magnetic resonance
- resonance imaging
- pulse
- database
- computer
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Classifications
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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
- A61B5/05—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
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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
- G01R33/565—Correction of image distortions, e.g. due to magnetic field inhomogeneities
- G01R33/5659—Correction of image distortions, e.g. due to magnetic field inhomogeneities caused by a distortion of the RF magnetic field, e.g. spatial inhomogeneities of the RF magnetic field
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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
- A61B5/0033—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
-
- 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
- G01R33/561—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
- G01R33/5611—Parallel magnetic resonance imaging, e.g. sensitivity encoding [SENSE], simultaneous acquisition of spatial harmonics [SMASH], unaliasing by Fourier encoding of the overlaps using the temporal dimension [UNFOLD], k-t-broad-use linear acquisition speed-up technique [k-t-BLAST], k-t-SENSE
- G01R33/5612—Parallel RF transmission, i.e. RF pulse transmission using a plurality of independent transmission channels
-
- 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
- G01R33/561—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution by reduction of the scanning time, i.e. fast acquiring systems, e.g. using echo-planar pulse sequences
- G01R33/5613—Generating steady state signals, e.g. low flip angle sequences [FLASH]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/231—Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendrogram
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- 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
- 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]
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- High Energy & Nuclear Physics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- Signal Processing (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Animal Behavior & Ethology (AREA)
- Surgery (AREA)
- Medical Informatics (AREA)
- Heart & Thoracic Surgery (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Probability & Statistics with Applications (AREA)
- Mathematical Analysis (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Algebra (AREA)
- Pure & Applied Mathematics (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP18305909.6A EP3594710B1 (en) | 2018-07-09 | 2018-07-09 | A computer-implemented method of building a database of pulse sequences for magnetic resonance imaging, and a method of performing magnetic resonance imaging using such a database |
| EP18305909.6 | 2018-07-09 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20200006003A KR20200006003A (ko) | 2020-01-17 |
| KR102842852B1 true KR102842852B1 (ko) | 2025-08-05 |
Family
ID=62952022
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020190081249A Active KR102842852B1 (ko) | 2018-07-09 | 2019-07-05 | 자기 공명 이미징을 위한 펄스 시퀀스들의 데이터베이스를 구축하는 컴퓨터 구현 방법 및 이러한 데이터베이스를 이용하여 자기 공명 이미징을 수행하는 방법 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US10976395B2 (enExample) |
| EP (1) | EP3594710B1 (enExample) |
| JP (1) | JP7317589B2 (enExample) |
| KR (1) | KR102842852B1 (enExample) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11416653B2 (en) * | 2019-05-15 | 2022-08-16 | The Mitre Corporation | Numerical model of the human head |
| US11009578B2 (en) * | 2019-07-17 | 2021-05-18 | GE Precision Healthcare LLC | Systems and methods for predicting B1+ maps from magnetic resonance calibration images |
| EP3832336B1 (en) * | 2019-12-06 | 2021-11-17 | Commissariat à l'Energie Atomique et aux Energies Alternatives | A method of designing a pulse sequence for parallel-transmission mri, and a method of performing parallel-transmission mri using such a pulse sequence |
| EP3901648A1 (en) | 2020-04-24 | 2021-10-27 | Siemens Healthcare GmbH | Method and device for controlling a magnetic resonance imaging system |
| FR3120949B1 (fr) | 2021-03-17 | 2023-03-17 | Commissariat Energie Atomique | Procédé de génération de séquences d’excitation de spin de type multi-rayon et son application à l’imagerie par résonance magnétique |
| GB2606208B (en) * | 2021-04-29 | 2023-05-10 | Siemens Healthcare Gmbh | Computer-implemented magnetic resonance image optimisation method |
| CN116299106A (zh) * | 2023-03-09 | 2023-06-23 | 西门子医疗有限公司 | 计算磁共振测量的优化的初始b1匀场的方法和mri系统 |
| CN120470342B (zh) * | 2025-07-14 | 2025-09-09 | 华能澜沧江水电股份有限公司 | 水电机组动应力敏感区识别与效率补偿的智能决策系统 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100090694A1 (en) | 2008-08-28 | 2010-04-15 | Oliver Heid | Method and device for automated generation of a formal description of a magnetic resonance system measurement sequence, using a sequence model |
| WO2017060142A1 (en) | 2015-10-06 | 2017-04-13 | Commissariat A L'energie Atomique Et Aux Energies Alternatives | A method of designing pulse sequences for parallel-transmission magnetic resonance imaging, and a method of performing magnetic resonance imaging using such sequences |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE60225792T2 (de) | 2002-07-25 | 2009-04-16 | Stryker Leibinger Gmbh & Co. Kg | Korrektur von geometrischen Verzerrungen und Intensitätsverzerrungen in MR-Daten |
| DE102007023251B4 (de) | 2007-05-18 | 2017-11-23 | Siemens Healthcare Gmbh | Verfahren zur Steuerung eines Magnetresonanzsystems |
| DE102013205785B4 (de) * | 2013-04-02 | 2014-10-09 | Siemens Aktiengesellschaft | Ermittlung einer Magnetresonanzsystem-Ansteuersequenz auf Basis einer reduzierten Anzahl an Feldverteilungskarten |
-
2018
- 2018-07-09 EP EP18305909.6A patent/EP3594710B1/en active Active
-
2019
- 2019-06-21 JP JP2019115267A patent/JP7317589B2/ja active Active
- 2019-07-02 US US16/460,959 patent/US10976395B2/en active Active
- 2019-07-05 KR KR1020190081249A patent/KR102842852B1/ko active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100090694A1 (en) | 2008-08-28 | 2010-04-15 | Oliver Heid | Method and device for automated generation of a formal description of a magnetic resonance system measurement sequence, using a sequence model |
| WO2017060142A1 (en) | 2015-10-06 | 2017-04-13 | Commissariat A L'energie Atomique Et Aux Energies Alternatives | A method of designing pulse sequences for parallel-transmission magnetic resonance imaging, and a method of performing magnetic resonance imaging using such sequences |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7317589B2 (ja) | 2023-07-31 |
| US10976395B2 (en) | 2021-04-13 |
| JP2020006162A (ja) | 2020-01-16 |
| EP3594710A1 (en) | 2020-01-15 |
| EP3594710B1 (en) | 2024-04-17 |
| KR20200006003A (ko) | 2020-01-17 |
| US20200011953A1 (en) | 2020-01-09 |
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