JP7612222B2 - 医用画像の強調 - Google Patents
医用画像の強調 Download PDFInfo
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- JP7612222B2 JP7612222B2 JP2022514541A JP2022514541A JP7612222B2 JP 7612222 B2 JP7612222 B2 JP 7612222B2 JP 2022514541 A JP2022514541 A JP 2022514541A JP 2022514541 A JP2022514541 A JP 2022514541A JP 7612222 B2 JP7612222 B2 JP 7612222B2
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/60—Image enhancement or restoration using machine learning, e.g. 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
-
- 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
- A61B5/004—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 adapted for image acquisition of a particular organ or body part
- A61B5/0044—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 adapted for image acquisition of a particular organ or body part for the heart
-
- 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
-
- 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
- G06T2207/10081—Computed x-ray tomography [CT]
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10104—Positron emission tomography [PET]
-
- 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
- G06T2207/10108—Single photon emission computed tomography [SPECT]
-
- 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
- G06T2207/10116—X-ray 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
- G06T2207/10—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
- G06T2207/20081—Training; Learning
-
- 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
- G06T2207/20084—Artificial neural networks [ANN]
-
- 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
- G06T2207/20212—Image combination
-
- 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
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Medical Informatics (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Pathology (AREA)
- Public Health (AREA)
- High Energy & Nuclear Physics (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Quality & Reliability (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GBGB1912701.8A GB201912701D0 (en) | 2019-09-04 | 2019-09-04 | Method and apparatus for enhancing medical images |
| GB1912701.8 | 2019-09-04 | ||
| PCT/GB2020/052117 WO2021044153A1 (en) | 2019-09-04 | 2020-09-04 | Enhancement of medical images |
Publications (4)
| Publication Number | Publication Date |
|---|---|
| JP2022547047A JP2022547047A (ja) | 2022-11-10 |
| JPWO2021044153A5 JPWO2021044153A5 (https=) | 2023-09-05 |
| JP2022547047A5 JP2022547047A5 (https=) | 2023-09-05 |
| JP7612222B2 true JP7612222B2 (ja) | 2025-01-14 |
Family
ID=68207104
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022514541A Active JP7612222B2 (ja) | 2019-09-04 | 2020-09-04 | 医用画像の強調 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US12499524B2 (https=) |
| EP (1) | EP4026086A1 (https=) |
| JP (1) | JP7612222B2 (https=) |
| CN (1) | CN114556410A (https=) |
| GB (1) | GB201912701D0 (https=) |
| WO (1) | WO2021044153A1 (https=) |
Families Citing this family (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102019210545B4 (de) * | 2019-07-17 | 2024-02-01 | Siemens Healthcare Gmbh | Bereitstellen eines Ergebnisbilddatensatzes und einer trainierten Generatorfunktion |
| EP4035124A4 (en) * | 2019-09-25 | 2023-10-11 | Subtle Medical, Inc. | SYSTEMS AND METHODS FOR IMPROVING VOLUMETRIC CONTRAST-ENHANCED MRI |
| CN114981836B (zh) * | 2020-01-23 | 2025-05-23 | 三星电子株式会社 | 电子设备和电子设备的控制方法 |
| US20210272237A1 (en) * | 2020-02-29 | 2021-09-02 | University Of Florida Research Foundation, Inc. | Multimodal ct image super-resolution via transfer generative adversarial network |
| KR102900551B1 (ko) * | 2020-11-11 | 2025-12-16 | 삼성전자주식회사 | 영상을 생성하는 방법 및 장치와 영상 생성을 위한 신경망을 트레이닝하는 방법 |
| US11727087B2 (en) * | 2021-04-05 | 2023-08-15 | Nano-X Ai Ltd. | Identification of a contrast phase depicted in a medical image |
| JP7699466B2 (ja) * | 2021-05-21 | 2025-06-27 | 学校法人藤田学園 | 医用情報処理方法、医用情報処理装置および医用画像処理装置 |
| US20230023122A1 (en) * | 2021-07-16 | 2023-01-26 | Washington University | Use of morphometric changes in the brain as a biomarker to predict brain tumor survival |
| EP4152037A1 (en) * | 2021-09-16 | 2023-03-22 | Friedrich-Alexander-Universität Erlangen-Nürnberg | Apparatus and method for generating a perfusion image, and method for training an artificial neural network therefor |
| US12393827B2 (en) * | 2021-12-22 | 2025-08-19 | Siemens Healthineers Ag | Late gadolinium enhancement analysis for magnetic resonance imaging |
| EP4233726A1 (de) * | 2022-02-24 | 2023-08-30 | Bayer AG | Vorhersage einer repräsentation eines untersuchungsbereichs eines untersuchungsobjekts nach der applikation unterschiedlicher mengen eines kontrastmittels |
| KR102907336B1 (ko) * | 2022-08-04 | 2026-01-02 | 메디컬아이피 주식회사 | 비조영영상을 조영영상으로 변환하는 방법 및 그 장치 |
| EP4339880A1 (en) * | 2022-09-19 | 2024-03-20 | Medicalip Co., Ltd. | Medical image conversion method and apparatus |
| JP2024047211A (ja) * | 2022-09-26 | 2024-04-05 | キヤノンメディカルシステムズ株式会社 | データ生成装置、データ生成方法、およびデータ生成プログラム |
| CN115423894B (zh) * | 2022-11-04 | 2023-02-03 | 之江实验室 | 一种基于变分自编码器的磁共振加权图像合成方法和装置 |
| CN118115407A (zh) * | 2022-11-28 | 2024-05-31 | 香港理工大学 | 一种用于肿瘤靶区勾画的磁共振虚拟对比度增强的系统和方法 |
| CN121002585A (zh) * | 2023-04-14 | 2025-11-21 | 伯拉考成像股份公司 | 基于不完整样本集与从其中模拟出的样本图像的组合训练用于医学成像应用中使用的机器学习模型 |
| CN116458894B (zh) * | 2023-04-21 | 2024-01-26 | 山东省人工智能研究院 | 基于复合型生成对抗网络的心电信号增强与分类方法 |
| WO2024226199A1 (en) | 2023-04-23 | 2024-10-31 | Raika Medical Imaging Inc. | Radionuclide-loaded nanoparticles for focal tissue ablation |
| WO2025023728A1 (ko) * | 2023-07-27 | 2025-01-30 | 사회복지법인 삼성생명공익재단 | 가상 조영 증강 ct 영상을 생성하는 딥러닝 모델 구축 방법 및 데이터 처리 장치 |
| US12288151B2 (en) * | 2023-08-16 | 2025-04-29 | Fetch Rewards, LLC | Using machine learning to extract information from electronic communications |
| CN117292145A (zh) * | 2023-10-25 | 2023-12-26 | 上海联影智能医疗科技有限公司 | 图像生成方法、装置、设备、存储介质和程序产品 |
| WO2025255036A1 (en) * | 2024-06-05 | 2025-12-11 | New York University | Systems and methods of generating synthetic image contrasts |
| CN118628378B (zh) * | 2024-08-07 | 2024-10-18 | 晓智未来(成都)科技有限公司 | 基于CycleGAN的X光图像增强方法 |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015510812A (ja) | 2012-03-21 | 2015-04-13 | コーニンクレッカ フィリップス エヌ ヴェ | 非虚血性心筋症及びその他における、t1マッピングを使用して正常な心筋層をびまん性疾患から識別するシステム及び方法 |
| US20160350919A1 (en) | 2015-06-01 | 2016-12-01 | Virtual Radiologic Corporation | Medical evaluation machine learning workflows and processes |
| JP2018192264A (ja) | 2017-05-18 | 2018-12-06 | キヤノンメディカルシステムズ株式会社 | 医用画像処理装置 |
| WO2019074938A1 (en) | 2017-10-09 | 2019-04-18 | The Board Of Trustees Of The Leland Stanford Junior University | CONTRAST DOSE REDUCTION FOR MEDICAL IMAGING USING DEEP LEARNING |
| US20190122348A1 (en) | 2017-10-20 | 2019-04-25 | Imaging Biometrics, Llc | Simulated Post-Contrast T1-Weighted Magnetic Resonance Imaging |
| WO2019098780A1 (ko) | 2017-11-17 | 2019-05-23 | 안영샘 | 진단 영상 변환 장치, 진단 영상 변환모듈 생성 장치, 진단 영상 촬영 장치, 진단 영상 변환 방법, 진단 영상 변환모듈 생성 방법, 진단 영상 촬영 방법, 및 컴퓨터 판독 가능한 기록매체 |
| WO2019149711A1 (en) | 2018-01-31 | 2019-08-08 | Koninklijke Philips N.V. | Image quality improved virtual non-contrast images generated by a spectral computed tomography (ct) scanner |
Family Cites Families (5)
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| US8472684B1 (en) * | 2010-06-09 | 2013-06-25 | Icad, Inc. | Systems and methods for generating fused medical images from multi-parametric, magnetic resonance image data |
| US20130322713A1 (en) | 2012-05-29 | 2013-12-05 | Isis Innovation Ltd. | Color map design method for assessment of the deviation from established normal population statistics and its application to quantitative medical images |
| KR101659578B1 (ko) | 2015-09-01 | 2016-09-23 | 삼성전자주식회사 | 자기 공명 영상 처리 방법 및 장치 |
| US20190150764A1 (en) * | 2016-05-02 | 2019-05-23 | The Regents Of The University Of California | System and Method for Estimating Perfusion Parameters Using Medical Imaging |
| CN108090871B (zh) | 2017-12-15 | 2020-05-08 | 厦门大学 | 一种基于卷积神经网络的多对比度磁共振图像重建方法 |
-
2019
- 2019-09-04 GB GBGB1912701.8A patent/GB201912701D0/en not_active Ceased
-
2020
- 2020-09-04 CN CN202080071653.2A patent/CN114556410A/zh active Pending
- 2020-09-04 EP EP20768674.2A patent/EP4026086A1/en active Pending
- 2020-09-04 WO PCT/GB2020/052117 patent/WO2021044153A1/en not_active Ceased
- 2020-09-04 US US17/639,926 patent/US12499524B2/en active Active
- 2020-09-04 JP JP2022514541A patent/JP7612222B2/ja active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015510812A (ja) | 2012-03-21 | 2015-04-13 | コーニンクレッカ フィリップス エヌ ヴェ | 非虚血性心筋症及びその他における、t1マッピングを使用して正常な心筋層をびまん性疾患から識別するシステム及び方法 |
| US20160350919A1 (en) | 2015-06-01 | 2016-12-01 | Virtual Radiologic Corporation | Medical evaluation machine learning workflows and processes |
| JP2018192264A (ja) | 2017-05-18 | 2018-12-06 | キヤノンメディカルシステムズ株式会社 | 医用画像処理装置 |
| WO2019074938A1 (en) | 2017-10-09 | 2019-04-18 | The Board Of Trustees Of The Leland Stanford Junior University | CONTRAST DOSE REDUCTION FOR MEDICAL IMAGING USING DEEP LEARNING |
| US20190122348A1 (en) | 2017-10-20 | 2019-04-25 | Imaging Biometrics, Llc | Simulated Post-Contrast T1-Weighted Magnetic Resonance Imaging |
| WO2019098780A1 (ko) | 2017-11-17 | 2019-05-23 | 안영샘 | 진단 영상 변환 장치, 진단 영상 변환모듈 생성 장치, 진단 영상 촬영 장치, 진단 영상 변환 방법, 진단 영상 변환모듈 생성 방법, 진단 영상 촬영 방법, 및 컴퓨터 판독 가능한 기록매체 |
| WO2019149711A1 (en) | 2018-01-31 | 2019-08-08 | Koninklijke Philips N.V. | Image quality improved virtual non-contrast images generated by a spectral computed tomography (ct) scanner |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2022547047A (ja) | 2022-11-10 |
| US20220343475A1 (en) | 2022-10-27 |
| US12499524B2 (en) | 2025-12-16 |
| CN114556410A (zh) | 2022-05-27 |
| EP4026086A1 (en) | 2022-07-13 |
| GB201912701D0 (en) | 2019-10-16 |
| WO2021044153A1 (en) | 2021-03-11 |
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