JP7746293B2 - アンダーサンプリング係数の自動化された調整 - Google Patents
アンダーサンプリング係数の自動化された調整Info
- Publication number
- JP7746293B2 JP7746293B2 JP2022569166A JP2022569166A JP7746293B2 JP 7746293 B2 JP7746293 B2 JP 7746293B2 JP 2022569166 A JP2022569166 A JP 2022569166A JP 2022569166 A JP2022569166 A JP 2022569166A JP 7746293 B2 JP7746293 B2 JP 7746293B2
- Authority
- JP
- Japan
- Prior art keywords
- magnetic resonance
- neural network
- predicted
- scan parameters
- undersampling
- 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.)
- Active
Links
Classifications
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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
-
- 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
- G01R33/4818—MR characterised by data acquisition along a specific k-space trajectory or by the temporal order of k-space coverage, e.g. centric or segmented coverage of k-space
-
- 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
- G01R33/543—Control of the operation of the MR system, e.g. setting of acquisition parameters prior to or during MR data acquisition, dynamic shimming, use of one or more scout images for scan plane prescription
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- 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
- 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]
-
- 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
- G06T2207/20081—Training; Learning
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- High Energy & Nuclear Physics (AREA)
- Health & Medical Sciences (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Quality & Reliability (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP20174864.7 | 2020-05-15 | ||
| EP20174864.7A EP3910358A1 (en) | 2020-05-15 | 2020-05-15 | Automated adjustment of the undersampling factor |
| PCT/EP2021/062831 WO2021229055A1 (en) | 2020-05-15 | 2021-05-14 | Automated adjustment of the undersampling factor |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2023525165A JP2023525165A (ja) | 2023-06-14 |
| JP2023525165A5 JP2023525165A5 (https=) | 2024-05-22 |
| JP7746293B2 true JP7746293B2 (ja) | 2025-09-30 |
Family
ID=70738313
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022569166A Active JP7746293B2 (ja) | 2020-05-15 | 2021-05-14 | アンダーサンプリング係数の自動化された調整 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12117511B2 (https=) |
| EP (2) | EP3910358A1 (https=) |
| JP (1) | JP7746293B2 (https=) |
| CN (1) | CN115667969A (https=) |
| WO (1) | WO2021229055A1 (https=) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102475397B1 (ko) * | 2021-04-08 | 2022-12-08 | 주식회사 에어스메디컬 | 슬라이스 레졸루션 향상이 적용된 자기 공명 영상 처리 장치 및 그 방법 |
| EP4458265A4 (en) * | 2021-12-30 | 2025-12-10 | Airs Medical Inc | METHOD AND APPARATUS FOR PROCESSING MAGNETIC RESONANCE IMAGING USING A SCANNING PARAMETER |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170309019A1 (en) | 2016-04-22 | 2017-10-26 | New York University | System, method and computer-accessible medium for learning an optimized variational network for medical image reconstruction |
| WO2018020964A1 (ja) | 2016-07-29 | 2018-02-01 | 株式会社日立製作所 | 画像診断装置、及び、磁気共鳴イメージング装置 |
| WO2019179838A1 (en) | 2018-03-22 | 2019-09-26 | Koninklijke Philips N.V. | Anomaly detection using magnetic resonance fingerprinting |
| WO2019204406A1 (en) | 2018-04-19 | 2019-10-24 | Subtle Medical, Inc. | Systems and methods for improving magnetic resonance imaging using deep learning |
| JP2020010823A (ja) | 2018-07-18 | 2020-01-23 | キヤノンメディカルシステムズ株式会社 | 医用情報処理装置、医用情報処理システム及び医用情報処理プログラム |
| JP2020036813A (ja) | 2018-09-05 | 2020-03-12 | キヤノンメディカルシステムズ株式会社 | 磁気共鳴イメージング装置 |
Family Cites Families (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030216635A1 (en) * | 2000-01-06 | 2003-11-20 | Cohen Irun R | Method and system for monitoring pancreatic pathologies |
| CN103403568B (zh) * | 2011-03-01 | 2016-06-29 | 皇家飞利浦有限公司 | 对磁共振成像脉冲序列协议分类的确定 |
| JP6113522B2 (ja) * | 2013-02-19 | 2017-04-12 | 東芝メディカルシステムズ株式会社 | 磁気共鳴イメージング装置及び画像処理装置 |
| CN105308473B (zh) * | 2013-03-13 | 2018-11-27 | 皇家飞利浦有限公司 | 平行成像加速参数的自动优化 |
| US9689947B2 (en) * | 2013-10-21 | 2017-06-27 | Siemens Healthcare Gmbh | Sampling strategies for sparse magnetic resonance image reconstruction |
| US9983283B2 (en) * | 2015-03-16 | 2018-05-29 | Toshiba Medical Systems Corporation | Accelerated MRI using radial strips and undersampling of k-space |
| US10048340B2 (en) * | 2015-06-03 | 2018-08-14 | The General Hospital Corporation | System and method for superfast chemical exchange saturation transfer spectral imaging |
| KR102084930B1 (ko) * | 2015-06-03 | 2020-03-05 | 미쓰비시덴키 가부시키가이샤 | 추론 장치 및 추론 방법 |
| US10816625B2 (en) * | 2016-04-26 | 2020-10-27 | Koninklijke Philips N.V. | Silent 3D magnetic resonance fingerprinting |
| US10387765B2 (en) * | 2016-06-23 | 2019-08-20 | Siemens Healthcare Gmbh | Image correction using a deep generative machine-learning model |
| CN109804262B (zh) * | 2016-10-07 | 2022-04-29 | 皇家飞利浦有限公司 | 用于对对象进行成像的磁共振成像系统及其操作方法 |
| US20180164395A1 (en) * | 2016-12-12 | 2018-06-14 | Siemens Healthcare Gmbh | Method and apparatus for accelerated magnetic resonance imaging |
| US10845444B2 (en) | 2017-01-17 | 2020-11-24 | The General Hospital Corporation | System and method for magnetic resonance fingerprinting using neural networks trained with sparsely sampled dictionaries |
| US10152571B1 (en) * | 2017-05-25 | 2018-12-11 | Enlitic, Inc. | Chest x-ray differential diagnosis system |
| US10823806B2 (en) * | 2017-11-22 | 2020-11-03 | Siemens Healthcare Gmbh | Magnetic resonance imaging using dataset undersampling |
| CN108957375B (zh) * | 2018-07-23 | 2020-12-22 | 深圳先进技术研究院 | 磁共振成像方法、装置、设备及存储介质 |
| CN109712208B (zh) * | 2018-12-13 | 2023-01-24 | 深圳先进技术研究院 | 基于深度学习的大视野磁共振扫描图像重建方法和装置 |
| CN109658471B (zh) * | 2018-12-20 | 2023-07-25 | 上海联影医疗科技股份有限公司 | 一种医学图像重建方法和系统 |
| CN110333466B (zh) * | 2019-06-19 | 2022-06-07 | 东软医疗系统股份有限公司 | 一种基于神经网络的磁共振成像方法和装置 |
| CN110992440B (zh) * | 2019-12-10 | 2023-04-21 | 中国科学院深圳先进技术研究院 | 弱监督磁共振快速成像方法和装置 |
-
2020
- 2020-05-15 EP EP20174864.7A patent/EP3910358A1/en not_active Withdrawn
-
2021
- 2021-05-14 JP JP2022569166A patent/JP7746293B2/ja active Active
- 2021-05-14 US US17/923,922 patent/US12117511B2/en active Active
- 2021-05-14 CN CN202180036027.4A patent/CN115667969A/zh active Pending
- 2021-05-14 EP EP21724711.3A patent/EP4150359B1/en active Active
- 2021-05-14 WO PCT/EP2021/062831 patent/WO2021229055A1/en not_active Ceased
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170309019A1 (en) | 2016-04-22 | 2017-10-26 | New York University | System, method and computer-accessible medium for learning an optimized variational network for medical image reconstruction |
| WO2018020964A1 (ja) | 2016-07-29 | 2018-02-01 | 株式会社日立製作所 | 画像診断装置、及び、磁気共鳴イメージング装置 |
| WO2019179838A1 (en) | 2018-03-22 | 2019-09-26 | Koninklijke Philips N.V. | Anomaly detection using magnetic resonance fingerprinting |
| WO2019204406A1 (en) | 2018-04-19 | 2019-10-24 | Subtle Medical, Inc. | Systems and methods for improving magnetic resonance imaging using deep learning |
| JP2020010823A (ja) | 2018-07-18 | 2020-01-23 | キヤノンメディカルシステムズ株式会社 | 医用情報処理装置、医用情報処理システム及び医用情報処理プログラム |
| JP2020036813A (ja) | 2018-09-05 | 2020-03-12 | キヤノンメディカルシステムズ株式会社 | 磁気共鳴イメージング装置 |
Also Published As
| Publication number | Publication date |
|---|---|
| EP3910358A1 (en) | 2021-11-17 |
| WO2021229055A1 (en) | 2021-11-18 |
| EP4150359A1 (en) | 2023-03-22 |
| CN115667969A (zh) | 2023-01-31 |
| EP4150359B1 (en) | 2026-04-29 |
| US12117511B2 (en) | 2024-10-15 |
| JP2023525165A (ja) | 2023-06-14 |
| US20230168327A1 (en) | 2023-06-01 |
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