BR112019010225A8 - Sistemas e métodos para detecção automatizada em imagens de ressonância magnética - Google Patents

Sistemas e métodos para detecção automatizada em imagens de ressonância magnética

Info

Publication number
BR112019010225A8
BR112019010225A8 BR112019010225A BR112019010225A BR112019010225A8 BR 112019010225 A8 BR112019010225 A8 BR 112019010225A8 BR 112019010225 A BR112019010225 A BR 112019010225A BR 112019010225 A BR112019010225 A BR 112019010225A BR 112019010225 A8 BR112019010225 A8 BR 112019010225A8
Authority
BR
Brazil
Prior art keywords
magnetic resonance
landmark
patient
brain
systems
Prior art date
Application number
BR112019010225A
Other languages
English (en)
Other versions
BR112019010225A2 (pt
Inventor
L Charvat Gregory
S Ralston Tyler
M Rothberg Jonathan
Sofka Michal
Original Assignee
Hyperfine Res Inc
Hyperfine Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hyperfine Res Inc, Hyperfine Inc filed Critical Hyperfine Res Inc
Publication of BR112019010225A2 publication Critical patent/BR112019010225A2/pt
Publication of BR112019010225A8 publication Critical patent/BR112019010225A8/pt

Links

Classifications

    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0048—Detecting, measuring or recording by applying mechanical forces or stimuli
    • A61B5/0055—Detecting, measuring or recording by applying mechanical forces or stimuli by applying suction
    • 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 classified in A61B5/00, 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 classified in A61B5/00, 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
    • A61B5/0042—Features or image-related aspects of imaging apparatus classified in A61B5/00, 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 brain
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4058—Detecting, measuring or recording for evaluating the nervous system for evaluating the central nervous system
    • A61B5/4064—Evaluating the brain
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • 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
    • G01R33/28—Details of apparatus provided for in groups G01R33/44 - G01R33/64
    • G01R33/38—Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
    • G01R33/3806—Open magnet assemblies for improved access to the sample, e.g. C-type or U-type magnets
    • 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]
    • G01R33/445—MR involving a non-standard magnetic field B0, e.g. of low magnitude as in the earth's magnetic field or in nanoTesla spectroscopy, comprising a polarizing magnetic field for pre-polarisation, B0 with a temporal variation of its magnitude or direction such as field cycling of B0 or rotation of the direction of B0, or spatially inhomogeneous B0 like in fringe-field MR or in stray-field imaging
    • 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
    • G01R33/4806—Functional imaging of brain activation
    • 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
    • G01R33/483—NMR imaging systems with selection of signals or spectra from particular regions of the volume, e.g. in vivo spectroscopy
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24143—Distances to neighbourhood prototypes, e.g. restricted Coulomb energy networks [RCEN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G06T7/0016—Biomedical image inspection using an image reference approach involving temporal comparison
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00—Medical imaging apparatus involving image processing or analysis
    • A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • A61B2576/026—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part for the brain
    • 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
    • G01R33/28—Details of apparatus provided for in groups G01R33/44 - G01R33/64
    • G01R33/38—Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
    • G01R33/383—Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field using permanent magnets
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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
    • G06T2207/30016—Brain
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/30172—Centreline of tubular or elongated structure
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • G06V2201/031—Recognition of patterns in medical or anatomical images of internal organs
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Neurology (AREA)
  • Evolutionary Computation (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Physiology (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Quality & Reliability (AREA)
  • Neurosurgery (AREA)
  • Mathematical Physics (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Fuzzy Systems (AREA)
  • Psychology (AREA)
  • Psychiatry (AREA)

Abstract

A presente invenção refere-se a um método para detectar mudança no grau de desvio de linha média no cérebro de um paciente. Enquanto o paciente permanece posicionado dentro do dispositivo de geração de imagem por ressonância magnética de campo baixo, adquirir os primeiros dados de imagem de ressonância magnética (MR) e os segundos dados de imagem de MR do cérebro do paciente; fornecer os primeiro e segundo dados de MR como entrada para um classificador estatístico treinado para obter as primeiras e segundas saídas correspondentes, identificar, a partir da primeira saída, pelo menos uma localização inicial de pelo menos um marco associado a pelo menos uma estrutura de linha média do cérebro do paciente; identificar, a partir da segunda saída, pelo menos uma localização atualizada do pelo menos um marco; e determinar um grau de mudança no desvio de linha média utilizando a pelo menos uma localização inicial do pelo menos um marco e a pelo menos uma localização atualizada do pelo menos um marco.
BR112019010225A 2016-11-22 2017-11-21 Sistemas e métodos para detecção automatizada em imagens de ressonância magnética BR112019010225A8 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662425569P 2016-11-22 2016-11-22
PCT/US2017/062763 WO2018098141A1 (en) 2016-11-22 2017-11-21 Systems and methods for automated detection in magnetic resonance images

Publications (2)

Publication Number Publication Date
BR112019010225A2 BR112019010225A2 (pt) 2019-08-20
BR112019010225A8 true BR112019010225A8 (pt) 2023-04-04

Family

ID=62144878

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112019010225A BR112019010225A8 (pt) 2016-11-22 2017-11-21 Sistemas e métodos para detecção automatizada em imagens de ressonância magnética

Country Status (12)

Country Link
US (7) US10416264B2 (pt)
EP (2) EP3968278A1 (pt)
JP (1) JP2019535424A (pt)
KR (1) KR20190087455A (pt)
CN (1) CN109983474A (pt)
AU (1) AU2017363608A1 (pt)
BR (1) BR112019010225A8 (pt)
CA (1) CA3043038A1 (pt)
IL (1) IL266748A (pt)
MX (1) MX2019005955A (pt)
TW (1) TWI704903B (pt)
WO (1) WO2018098141A1 (pt)

Families Citing this family (94)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102365543A (zh) 2009-01-16 2012-02-29 纽约大学 用全息视频显微术的自动实时粒子表征和三维速度计量
WO2015073894A2 (en) 2013-11-15 2015-05-21 New York University Self calibrating parallel transmission by spin dynamic fingerprinting
KR20170048577A (ko) * 2014-09-05 2017-05-08 하이퍼파인 리서치, 인크. 자기 공명 이미징을 위한 강자성 증강
WO2016077417A1 (en) 2014-11-11 2016-05-19 Hyperfine Research, Inc. Low field magnetic resonance methods and apparatus
AU2015346431B2 (en) 2014-11-11 2020-06-18 Hyperfine Operations, Inc. Pulse sequences for low field magnetic resonance
DK3218690T3 (da) 2014-11-12 2022-05-02 Univ New York Kolloidt fingeraftryk til bløde materialer med brug af total holografisk karakterisation
US10281540B2 (en) 2015-04-13 2019-05-07 Hyperfine Research, Inc. Magnetic coil power methods and apparatus
CA2983448C (en) 2015-05-12 2021-03-09 Hyperfine Research, Inc. Radio frequency coil methods and apparatus
US10561337B2 (en) * 2015-08-04 2020-02-18 University Of Virginia Patent Foundation Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction
WO2017048960A1 (en) 2015-09-18 2017-03-23 New York University Holographic detection and characterization of large impurity particles in precision slurries
AU2017236982A1 (en) 2016-03-22 2018-10-04 Hyperfine Operations, Inc. Methods and apparatus for magnetic field shimming
US10670677B2 (en) * 2016-04-22 2020-06-02 New York University Multi-slice acceleration for magnetic resonance fingerprinting
TWI667487B (zh) 2016-09-29 2019-08-01 美商超精細研究股份有限公司 射頻線圈調諧方法及裝置
JP2019535424A (ja) 2016-11-22 2019-12-12 ハイパーファイン リサーチ，インコーポレイテッド 磁気共鳴画像における自動検出のためのシステムおよび方法
US10627464B2 (en) 2016-11-22 2020-04-21 Hyperfine Research, Inc. Low-field magnetic resonance imaging methods and apparatus
US10539637B2 (en) 2016-11-22 2020-01-21 Hyperfine Research, Inc. Portable magnetic resonance imaging methods and apparatus
US10585153B2 (en) 2016-11-22 2020-03-10 Hyperfine Research, Inc. Rotatable magnet methods and apparatus for a magnetic resonance imaging system
US10390727B2 (en) * 2017-04-21 2019-08-27 The Charles Stark Draper Laboratory, Inc. Apparatus and method for imaging currents using nanoparticles and low-field magnetic resonance imaging (MRI)
US10753997B2 (en) * 2017-08-10 2020-08-25 Siemens Healthcare Gmbh Image standardization using generative adversarial networks
JP7246903B2 (ja) * 2017-12-20 2023-03-28 キヤノンメディカルシステムズ株式会社 医用信号処理装置
US10365340B1 (en) * 2018-03-01 2019-07-30 Siemens Medical Solutions Usa, Inc. Monitoring dynamics of patient brain state during neurosurgical procedures
CN112424624A (zh) 2018-04-20 2021-02-26 海珀菲纳研究股份有限公司 用于便携式磁共振成像装置的可展开防护
US20190351261A1 (en) * 2018-05-18 2019-11-21 Yoav Levy Selective resampling during non-invasive therapy
CN112384818A (zh) 2018-05-21 2021-02-19 海珀菲纳研究股份有限公司 低场mri系统所用的射频线圈信号链
JP2021524775A (ja) 2018-05-21 2021-09-16 ハイパーファイン，インコーポレイテッド 磁気共鳴結像システム用のｂ０磁石の機器および方法
TW202015621A (zh) 2018-07-19 2020-05-01 美商超精細研究股份有限公司 在磁共振成像中患者定位之方法及設備
CN113795764A (zh) 2018-07-30 2021-12-14 海珀菲纳股份有限公司 用于磁共振图像重建的深度学习技术
CA3106683A1 (en) 2018-07-31 2020-02-06 Hyperfine Research, Inc. Medical imaging device messaging service
TW202012951A (zh) 2018-07-31 2020-04-01 美商超精細研究股份有限公司 低場漫射加權成像
WO2020036861A1 (en) * 2018-08-12 2020-02-20 The Trustees Of Columbia University In The City Of New York System, method, and computer-accessible medium for magnetic resonance value driven autonomous scanner
CA3109456A1 (en) * 2018-08-12 2020-02-20 The Trustees Of Columbia University In The City Of New York System, method and computer-accessible medium for tissue fingerprinting
AU2019321607A1 (en) 2018-08-15 2021-02-11 Hyperfine Operations, Inc. Deep learning techniques for suppressing artefacts in magnetic resonance images
NL2021559B1 (en) * 2018-09-04 2020-04-30 Aidence B V Determination of a growth rate of an object in 3D data sets using deep learning
WO2020056274A1 (en) * 2018-09-14 2020-03-19 The Johns Hopkins University Machine learning processing of contiguous slice image data
EP3850386A4 (en) 2018-09-14 2022-10-12 10250929 Canada Inc. METHOD AND SYSTEM FOR IN VIVO AND NON-INVASIVE MEASUREMENT OF METABOLIT LEVELS
WO2020066133A1 (ja) * 2018-09-28 2020-04-02 富士フイルム株式会社 脳のアトラス作成装置、方法及びプログラム
US11436495B2 (en) * 2018-10-02 2022-09-06 Insitu, Inc. a subsidiary of The Boeing Company Change detection in digital images
US11037030B1 (en) * 2018-10-29 2021-06-15 Hrl Laboratories, Llc System and method for direct learning from raw tomographic data
US10799183B2 (en) * 2018-11-07 2020-10-13 General Electric Company Methods and systems for whole body imaging
US10803987B2 (en) * 2018-11-16 2020-10-13 Elekta, Inc. Real-time motion monitoring using deep neural network
CN111223103B (zh) * 2018-11-23 2023-11-21 佳能医疗系统株式会社 医用图像诊断装置以及医用摄像装置
EP3663785A1 (en) * 2018-12-07 2020-06-10 Koninklijke Philips N.V. Functional magnetic resonance imaging artifact removal by means of an artificial neural network
WO2020123788A1 (en) * 2018-12-14 2020-06-18 The Board Of Trustees Of The Leland Stanford Junior University Qualitative and quantitative mri using deep learning
WO2020131250A2 (en) 2018-12-19 2020-06-25 Hyperfine Research, Inc. System and methods for grounding patients during magnetic resonance imaging
US10832392B2 (en) * 2018-12-19 2020-11-10 Siemens Healthcare Gmbh Method, learning apparatus, and medical imaging apparatus for registration of images
MX2021007856A (es) 2018-12-28 2021-10-26 Hyperfine Inc Corrección de histéresis en la formación de imágenes por resonancia magnética.
CN111476938B (zh) * 2019-01-24 2023-04-28 中科晶源微电子技术（北京）有限公司 用于周期性样式的异常检测
KR20210137142A (ko) 2019-03-12 2021-11-17 하이퍼파인, 인크. 영아들의 자기 공명 촬영을 위한 시스템들 및 방법들
US11185249B2 (en) 2019-03-14 2021-11-30 Hyperfine, Inc. Self ensembling techniques for generating magnetic resonance images from spatial frequency data
CA3138122A1 (en) 2019-04-26 2020-10-29 Hyperfine, Inc. Techniques for dynamic control of a magnetic resonance imaging system
WO2020223434A1 (en) * 2019-04-30 2020-11-05 The Trustees Of Columbia University In The City Of New York Classifying neurological disease status using deep learning
KR20220007876A (ko) 2019-05-07 2022-01-19 하이퍼파인, 인크. 유아의 자기 공명 이미징을 위한 시스템, 디바이스 및 방법
WO2020232124A1 (en) * 2019-05-13 2020-11-19 The General Hospital Corporation System and methods for automated image analysis
CN110346743B (zh) * 2019-07-22 2021-09-14 上海东软医疗科技有限公司 一种磁共振弥散加权成像方法和装置
CN110472670B (zh) * 2019-07-24 2022-03-01 上海联影智能医疗科技有限公司 图像中线检测方法、计算机设备和存储介质
EP4014057A1 (en) 2019-08-15 2022-06-22 Hyperfine Operations, Inc. Eddy current mitigation systems and methods
US20210052189A1 (en) * 2019-08-22 2021-02-25 Wisconsin Alumni Research Foundation Lesion Volume Measurements System
CN113330483A (zh) 2019-09-18 2021-08-31 拜耳公司 由监督学习训练的预测模型预测磁共振成像图像
CN113329688B (zh) 2019-09-18 2023-11-28 拜耳公司 用于确定组织体素的特征的方法、系统和计算机可读介质
US20210093278A1 (en) * 2019-09-30 2021-04-01 GE Precision Healthcare LLC Computed tomography medical imaging intracranial hemorrhage model
AU2020370365A1 (en) 2019-10-25 2022-05-19 Hyperfine Operations, Inc. Artefact reduction in magnetic resonance imaging
US11543338B2 (en) 2019-10-25 2023-01-03 New York University Holographic characterization of irregular particles
US11510588B2 (en) 2019-11-27 2022-11-29 Hyperfine Operations, Inc. Techniques for noise suppression in an environment of a magnetic resonance imaging system
CN110956636A (zh) * 2019-11-28 2020-04-03 北京推想科技有限公司 一种图像处理方法及装置
US11656308B2 (en) 2019-12-10 2023-05-23 Hyperfine Operations, Inc. Permanent magnet assembly for magnetic resonance imaging with non-ferromagnetic frame
USD912822S1 (en) 2019-12-10 2021-03-09 Hyperfine Research, Inc. Frame for magnets in magnetic resonance imaging
US11415651B2 (en) 2019-12-10 2022-08-16 Hyperfine Operations, Inc. Low noise gradient amplification components for MR systems
USD932014S1 (en) 2019-12-10 2021-09-28 Hyperfine, Inc. Frame for magnets in magnetic resonance imaging
CN115552270A (zh) 2019-12-10 2022-12-30 海珀菲纳运营有限公司 用于磁共振成像的铁磁框架
EP3835803B1 (en) * 2019-12-13 2024-03-27 Siemens Healthineers AG System and method for estimating a relative substance composition of a portion of a body of a patient
WO2021167124A1 (ko) * 2020-02-19 2021-08-26 서울대학교 산학협력단 Mri 데이터 및 추가 정보를 이용하는 변환 네트워크부를 포함하는 mri 데이터 변환장치 및 이를 이용한 mri 데이터 변환방법
DE102020202505A1 (de) 2020-02-27 2021-09-02 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zum Betrieb einer Magnetresonanzmessvorrichtung
US11948302B2 (en) 2020-03-09 2024-04-02 New York University Automated holographic video microscopy assay
DE102020203526A1 (de) * 2020-03-19 2021-09-23 Siemens Healthcare Gmbh Deformationsmodell für ein Gewebe
CN111611218A (zh) * 2020-04-24 2020-09-01 武汉大学 一种基于深度学习的分布式异常日志自动识别方法
CN111563903B (zh) * 2020-04-26 2021-05-28 北京航空航天大学 一种基于深度学习的mri全脑组织分割方法及系统
CN111583212B (zh) * 2020-04-29 2021-11-30 上海杏脉信息科技有限公司 脑部中线移位的确定方法及装置
CN111769844B (zh) * 2020-06-24 2022-08-16 中国电子科技集团公司第三十六研究所 一种单通道同频干扰消除方法和装置
CN111862014A (zh) * 2020-07-08 2020-10-30 深圳市第二人民医院(深圳市转化医学研究院) 一种基于左右侧脑室分割的alvi自动测量方法及装置
DE102020209783A1 (de) * 2020-08-04 2022-02-10 Julius-Maximilians-Universität Würzburg Verfahren zur Aufnahme eines Magnetresonanzbilddatensatzes, Datenträger, Computerprogrammprodukt sowie Magnetresonanzanlage
CN111968103B (zh) * 2020-08-27 2023-05-09 中冶赛迪信息技术(重庆)有限公司 一种钢卷间距检测方法、系统、介质及电子终端
US11861828B2 (en) * 2020-09-01 2024-01-02 Siemens Healthcare Gmbh Automated estimation of midline shift in brain ct images
DE102020213900A1 (de) * 2020-09-30 2022-03-31 Siemens Healthcare Gmbh Verfahren zu einem Bereitstellen einer Positionsinformation einer lokalen Hochfrequenzspule
CN112132878B (zh) * 2020-11-03 2024-04-05 贵州大学 基于卷积神经网络的端到端大脑核磁共振图像配准方法
CN112561055B (zh) * 2020-12-09 2023-11-07 北京交通大学 基于双线性时频分析及卷积神经网络的电磁骚扰辨识方法
WO2022132959A1 (en) * 2020-12-15 2022-06-23 The Truestees Of Columbia University In The City Of New York Multi-contrast denoising of magnetic resonance images using native noise structure
JP2022111589A (ja) * 2021-01-20 2022-08-01 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
KR102289648B1 (ko) * 2021-02-03 2021-08-18 주식회사 휴런 의료 영상 기반 허혈성 뇌졸중 검출 및 형태 분류 방법, 장치 및 시스템
TWI790572B (zh) * 2021-03-19 2023-01-21 宏碁智醫股份有限公司 影像相關的檢測方法及檢測裝置
CN113256705A (zh) * 2021-03-23 2021-08-13 杭州依图医疗技术有限公司 颅脑图像的处理方法、显示方法及处理装置
EP4075157A1 (en) * 2021-04-14 2022-10-19 Siemens Healthcare GmbH Method for correcting object specific inhomogeneities in an mr imaging system
US11842492B2 (en) * 2021-04-16 2023-12-12 Natasha IRONSIDE Cerebral hematoma volume analysis
CN113947731B (zh) * 2021-12-21 2022-07-22 成都中轨轨道设备有限公司 一种基于接触网安全巡检的异物识别方法及系统
CN117609881B (zh) * 2023-11-29 2024-04-30 阿童木(广州)智能科技有限公司 一种基于人工智能的金属重叠检测方法及系统

Family Cites Families (64)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5900793A (en) 1997-07-23 1999-05-04 Odin Technologies Ltd Permanent magnet assemblies for use in medical applications
JP2002507438A (ja) * 1998-03-18 2002-03-12 メディ−フィジックス・インコーポレイテッド 溶解化した極性化１２９Ｘｅを用いる肺および心臓脈管構造の映像化および血流を上昇するＭＲ方法
DE60234571D1 (de) * 2001-01-23 2010-01-14 Health Discovery Corp Rechnergestützte bildanalyse
US7734075B2 (en) 2001-10-04 2010-06-08 Siemens Medical Solutions Usa, Inc. Contrast-invariant registration of cardiac and renal magnetic resonance perfusion images
US8272582B2 (en) * 2001-11-26 2012-09-25 Gillette Thomas D Systems and methods for producing ozonated water on demand
AU2003299140B2 (en) * 2002-09-24 2008-07-17 The Government Of The United States Of America As Represented By The Secretary Of The Department Of Health And Human Services Method for convection enhanced delivery of therapeutic agents
JP2005118098A (ja) 2003-10-14 2005-05-12 Hitachi Medical Corp 磁気共鳴イメージング装置
US7711405B2 (en) 2004-04-28 2010-05-04 Siemens Corporation Method of registering pre-operative high field closed magnetic resonance images with intra-operative low field open interventional magnetic resonance images
JP4528322B2 (ja) * 2007-09-28 2010-08-18 富士フイルム株式会社 画像表示装置、画像表示方法、および画像表示プログラム
EP2194486A1 (en) 2008-12-04 2010-06-09 Koninklijke Philips Electronics N.V. A method, apparatus, and computer program product for acquiring medical image data
WO2010117573A2 (en) 2009-04-07 2010-10-14 Virginia Commonwealth University Automated measurement of brain injury indices using brain ct images, injury data, and machine learning
US20110210734A1 (en) 2010-02-26 2011-09-01 Robert David Darrow System and method for mr image scan and analysis
GB201009101D0 (en) * 2010-06-01 2010-07-14 Nordic Bioscience As Computer based analysis of MRI images
EP2468207A1 (en) * 2010-12-21 2012-06-27 Renishaw (Ireland) Limited Method and apparatus for analysing images
CA3055149A1 (en) * 2010-12-22 2012-06-28 Viewray Technologies, Inc. System and method for image guidance during medical procedures
JP5387629B2 (ja) * 2011-07-30 2014-01-15 株式会社デンソー Ｄｃｄｃコンバータの制御装置
US10143377B2 (en) 2012-05-02 2018-12-04 Augusta University Research Institute, Inc. Single channel imaging measurement of dynamic changes in heart or respiration rate
US9165360B1 (en) * 2012-09-27 2015-10-20 Zepmed, Llc Methods, systems, and devices for automated analysis of medical scans
WO2014152919A1 (en) 2013-03-14 2014-09-25 Arizona Board Of Regents, A Body Corporate Of The State Of Arizona For And On Behalf Of Arizona State University Kernel sparse models for automated tumor segmentation
WO2014138914A1 (en) 2013-03-15 2014-09-18 Synaptive Medical (Barbados) Inc. System and method for magnetic resonance image acquisition
GB2512876A (en) * 2013-04-09 2014-10-15 Image Analysis Ltd Methods and apparatus for quantifying inflammation
WO2014193552A1 (en) 2013-04-12 2014-12-04 The Research Foundation For The State University Of New York Magnetic resonance imaging method
US20140364720A1 (en) * 2013-06-10 2014-12-11 General Electric Company Systems and methods for interactive magnetic resonance imaging
US9655563B2 (en) * 2013-09-25 2017-05-23 Siemens Healthcare Gmbh Early therapy response assessment of lesions
AU2015229122A1 (en) * 2014-03-14 2016-09-22 The General Hospital Corporation System and method for low-field, multi-channel imaging
AU2015261891A1 (en) * 2014-05-23 2016-10-13 Ventana Medical Systems, Inc. Systems and methods for detection of biological structures and/or patterns in images
EP3161790A1 (en) 2014-06-30 2017-05-03 Universität Bern Method for segmenting and predicting tissue regions in patients with acute cerebral ischemia
JP6128691B2 (ja) * 2014-07-10 2017-05-17 富士フイルム株式会社 医用画像計測装置および方法並びにプログラム
US9754371B2 (en) * 2014-07-31 2017-09-05 California Institute Of Technology Multi modality brain mapping system (MBMS) using artificial intelligence and pattern recognition
TWI542328B (zh) 2014-07-31 2016-07-21 國立中央大學 偵測與量化腦梗塞區域的方法
KR20170048577A (ko) 2014-09-05 2017-05-08 하이퍼파인 리서치, 인크. 자기 공명 이미징을 위한 강자성 증강
KR101676789B1 (ko) 2014-10-21 2016-11-16 삼성전자주식회사 자기 공명 영상 장치 및 자기 공명 영상을 처리하는 방법
AU2015346431B2 (en) 2014-11-11 2020-06-18 Hyperfine Operations, Inc. Pulse sequences for low field magnetic resonance
WO2016077417A1 (en) * 2014-11-11 2016-05-19 Hyperfine Research, Inc. Low field magnetic resonance methods and apparatus
CN106462802B (zh) * 2014-11-14 2019-08-06 谷歌有限责任公司 生成映像的自然语言描述
US9874620B2 (en) 2015-02-05 2018-01-23 Ohio State Innovation Foundation Low field magnetic resonance imaging (MRI) scanner for cardiac imaging
US10281540B2 (en) 2015-04-13 2019-05-07 Hyperfine Research, Inc. Magnetic coil power methods and apparatus
CA2983448C (en) 2015-05-12 2021-03-09 Hyperfine Research, Inc. Radio frequency coil methods and apparatus
US10194829B2 (en) 2015-07-07 2019-02-05 Q Bio, Inc. Fast scanning based on magnetic resonance history
US10909675B2 (en) 2015-10-09 2021-02-02 Mayo Foundation For Medical Education And Research System and method for tissue characterization based on texture information using multi-parametric MRI
CN108369642A (zh) 2015-12-18 2018-08-03 加利福尼亚大学董事会 根据头部计算机断层摄影解释和量化急症特征
AU2017236982A1 (en) 2016-03-22 2018-10-04 Hyperfine Operations, Inc. Methods and apparatus for magnetic field shimming
CN109310396B (zh) 2016-06-20 2021-11-09 蝴蝶网络有限公司 用于辅助用户操作超声装置的自动图像获取
US10210609B2 (en) * 2016-09-07 2019-02-19 International Business Machines Corporation Integrated deep learning and clinical image viewing and reporting
TWI667487B (zh) 2016-09-29 2019-08-01 美商超精細研究股份有限公司 射頻線圈調諧方法及裝置
JP2019535424A (ja) 2016-11-22 2019-12-12 ハイパーファイン リサーチ，インコーポレイテッド 磁気共鳴画像における自動検出のためのシステムおよび方法
US10627464B2 (en) 2016-11-22 2020-04-21 Hyperfine Research, Inc. Low-field magnetic resonance imaging methods and apparatus
US10539637B2 (en) 2016-11-22 2020-01-21 Hyperfine Research, Inc. Portable magnetic resonance imaging methods and apparatus
US10585153B2 (en) 2016-11-22 2020-03-10 Hyperfine Research, Inc. Rotatable magnet methods and apparatus for a magnetic resonance imaging system
US20180358125A1 (en) 2017-06-13 2018-12-13 Alexander Bagaev Systems and methods for identifying cancer treatments from normalized biomarker scores
CN112424624A (zh) 2018-04-20 2021-02-26 海珀菲纳研究股份有限公司 用于便携式磁共振成像装置的可展开防护
CN112384818A (zh) 2018-05-21 2021-02-19 海珀菲纳研究股份有限公司 低场mri系统所用的射频线圈信号链
JP2021524775A (ja) 2018-05-21 2021-09-16 ハイパーファイン，インコーポレイテッド 磁気共鳴結像システム用のｂ０磁石の機器および方法
TW202015621A (zh) 2018-07-19 2020-05-01 美商超精細研究股份有限公司 在磁共振成像中患者定位之方法及設備
CN113795764A (zh) 2018-07-30 2021-12-14 海珀菲纳股份有限公司 用于磁共振图像重建的深度学习技术
CA3106683A1 (en) 2018-07-31 2020-02-06 Hyperfine Research, Inc. Medical imaging device messaging service
TW202012951A (zh) 2018-07-31 2020-04-01 美商超精細研究股份有限公司 低場漫射加權成像
AU2019321607A1 (en) 2018-08-15 2021-02-11 Hyperfine Operations, Inc. Deep learning techniques for suppressing artefacts in magnetic resonance images
WO2020131250A2 (en) 2018-12-19 2020-06-25 Hyperfine Research, Inc. System and methods for grounding patients during magnetic resonance imaging
MX2021007856A (es) 2018-12-28 2021-10-26 Hyperfine Inc Corrección de histéresis en la formación de imágenes por resonancia magnética.
KR20210137142A (ko) 2019-03-12 2021-11-17 하이퍼파인, 인크. 영아들의 자기 공명 촬영을 위한 시스템들 및 방법들
US11185249B2 (en) 2019-03-14 2021-11-30 Hyperfine, Inc. Self ensembling techniques for generating magnetic resonance images from spatial frequency data
CA3138122A1 (en) 2019-04-26 2020-10-29 Hyperfine, Inc. Techniques for dynamic control of a magnetic resonance imaging system
KR20220007876A (ko) 2019-05-07 2022-01-19 하이퍼파인, 인크. 유아의 자기 공명 이미징을 위한 시스템, 디바이스 및 방법

Also Published As

Publication number Publication date
EP3545494B1 (en) 2022-01-05
CN109983474A (zh) 2019-07-05
EP3545494A1 (en) 2019-10-02
US10718842B2 (en) 2020-07-21
CA3043038A1 (en) 2018-05-31
WO2018098141A1 (en) 2018-05-31
US10416264B2 (en) 2019-09-17
US10955504B2 (en) 2021-03-23
JP2019535424A (ja) 2019-12-12
BR112019010225A2 (pt) 2019-08-20
KR20190087455A (ko) 2019-07-24
US10816629B2 (en) 2020-10-27
EP3545494A4 (en) 2020-05-27
MX2019005955A (es) 2019-07-10
US20180143275A1 (en) 2018-05-24
AU2017363608A1 (en) 2019-05-23
US10585156B2 (en) 2020-03-10
US20190011521A1 (en) 2019-01-10
IL266748A (en) 2019-07-31
US20190033414A1 (en) 2019-01-31
US10534058B2 (en) 2020-01-14
EP3968278A1 (en) 2022-03-16
TWI704903B (zh) 2020-09-21
US20190033415A1 (en) 2019-01-31
US20180143281A1 (en) 2018-05-24
US20200341095A1 (en) 2020-10-29
US20180144467A1 (en) 2018-05-24
TW201825047A (zh) 2018-07-16

Similar Documents

Publication Publication Date Title
BR112019010225A8 (pt) Sistemas e métodos para detecção automatizada em imagens de ressonância magnética
Schouten et al. Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging
Bracht et al. White matter pathway organization of the reward system is related to positive and negative symptoms in schizophrenia
Dinomais et al. Long term motor function after neonatal stroke: lesion localization above all
Travis et al. Cerebellar white matter pathways are associated with reading skills in children and adolescents
Seehaus et al. Histological validation of DW-MRI tractography in human postmortem tissue
Hummel et al. Volume of olfactory bulb and depth of olfactory sulcus in 378 consecutive patients with olfactory loss
Zhang et al. Progression of white matter degeneration in amyotrophic lateral sclerosis: a diffusion tensor imaging study
BR112018014562A2 (pt) sistemas e métodos de detecção e diferenciação de infecção
BR112012033733A2 (pt) dispositivo de identificação de objeto
BR112017004357A2 (pt) métodos e aparelhos de supressão de ruído
DE602007006971D1 (de) Bildgebung mit doppelmodalität
BR112014015668A8 (pt) sistema de ressonância magnética, método de termografia por ressonância magnética e mídia não transitória legível em computador
BR112014009093A2 (pt) método e sistema de imagem dupla para geração de uma imagem multidimensional de uma amostra
Brun et al. Mapping brain abnormalities in boys with autism
BR112014017936A8 (pt) Aparelhos, sistemas e métodos de reconhecimento de fóssil
Fernandez et al. White matter integrity of cerebellar-cortical tracts in reading impaired children: A probabilistic tractography study
Rosskopf et al. Ex post facto assessment of diffusion tensor imaging metrics from different MRI protocols: preparing for multicentre studies in ALS
Kwon et al. Age-related changes of lateral ventricular width and periventricular white matter in the human brain: a diffusion tensor imaging study
Lindsey et al. Acute pediatric traumatic brain injury severity predicts long-term verbal memory performance through suppression by white matter integrity on diffusion tensor imaging
Nir et al. Small world network measures predict white matter degeneration in patients with early-stage mild cognitive impairment
Sadeghi et al. Twin–singleton developmental study of brain white matter anatomy
BR112014032534B8 (pt) Método para o imageamento por ressonância magnética (rm)
Hong et al. Genetic load determines atrophy in hand cortico‐striatal pathways in presymptomatic Huntington's disease
Borsodi et al. Multimodal assessment of white matter tracts in amyotrophic lateral sclerosis

Legal Events

Date Code Title Description
B350 Update of information on the portal [chapter 15.35 patent gazette]
B25D Requested change of name of applicant approved

Owner name: HYPERFINE, INC. (US)

B06W Patent application suspended after preliminary examination (for patents with searches from other patent authorities) chapter 6.23 patent gazette]
B15K Others concerning applications: alteration of classification

Free format text: A CLASSIFICACAO ANTERIOR ERA: G06T 7/00

Ipc: A61B 5/00 (2006.01), G01R 33/38 (2006.01)

B11B Dismissal acc. art. 36, par 1 of ipl - no reply within 90 days to fullfil the necessary requirements