CN104583798B - 具有反馈的迭代感测去噪的系统和方法 - Google Patents

具有反馈的迭代感测去噪的系统和方法 Download PDF

Info

Publication number
CN104583798B
CN104583798B CN201380044877.4A CN201380044877A CN104583798B CN 104583798 B CN104583798 B CN 104583798B CN 201380044877 A CN201380044877 A CN 201380044877A CN 104583798 B CN104583798 B CN 104583798B
Authority
CN
China
Prior art keywords
denoising
effectiveness
measure
data
image
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.)
Expired - Fee Related
Application number
CN201380044877.4A
Other languages
English (en)
Chinese (zh)
Other versions
CN104583798A (zh
Inventor
M·富德勒
J·M·佩特斯
A·J·W·杜杰达姆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Koninklijke Philips NV
Original Assignee
Koninklijke Philips NV
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 Koninklijke Philips NV filed Critical Koninklijke Philips NV
Publication of CN104583798A publication Critical patent/CN104583798A/zh
Application granted granted Critical
Publication of CN104583798B publication Critical patent/CN104583798B/zh
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

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
    • G01R33/561—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
    • 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
    • G01R33/32—Excitation or detection systems, e.g. using radio frequency signals
    • G01R33/34—Constructional details, e.g. resonators, specially adapted to MR
    • 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

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • General Physics & Mathematics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Processing (AREA)
CN201380044877.4A 2012-08-29 2013-08-29 具有反馈的迭代感测去噪的系统和方法 Expired - Fee Related CN104583798B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201261694323P 2012-08-29 2012-08-29
US61/694,323 2012-08-29
PCT/EP2013/067885 WO2014033207A1 (en) 2012-08-29 2013-08-29 Iterative sense denoising with feedback

Publications (2)

Publication Number Publication Date
CN104583798A CN104583798A (zh) 2015-04-29
CN104583798B true CN104583798B (zh) 2018-07-17

Family

ID=49080886

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201380044877.4A Expired - Fee Related CN104583798B (zh) 2012-08-29 2013-08-29 具有反馈的迭代感测去噪的系统和方法

Country Status (7)

Country Link
US (1) US9841482B2 (enExample)
EP (1) EP2890993A1 (enExample)
JP (1) JP6261589B2 (enExample)
CN (1) CN104583798B (enExample)
BR (1) BR112015004071A2 (enExample)
RU (1) RU2631404C2 (enExample)
WO (1) WO2014033207A1 (enExample)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104583798B (zh) * 2012-08-29 2018-07-17 皇家飞利浦有限公司 具有反馈的迭代感测去噪的系统和方法
US20150113453A1 (en) * 2013-10-18 2015-04-23 Apple Inc. Methods and devices for simplified graphical object editing
US10302726B2 (en) 2014-07-03 2019-05-28 Koninklijke Philips N.V. Image reconstruction for MRI using multiplexed sensitivity encoding
JP6981799B2 (ja) * 2017-07-21 2021-12-17 キヤノンメディカルシステムズ株式会社 画像データ復元装置、画像データ復元方法、及びプログラム
EP3801218A4 (en) * 2018-06-01 2022-03-23 New York University System, method and computer-accessible medium for facilitating noise removal in magnetic resonance imaging
KR102144320B1 (ko) * 2020-02-13 2020-08-13 주식회사 에어스 메디컬 자기 공명 영상 처리 장치 및 그 방법
CN112700508B (zh) * 2020-12-28 2022-04-19 广东工业大学 一种基于深度学习的多对比度mri图像重建方法
CN115809977A (zh) * 2021-09-15 2023-03-17 深圳先进技术研究院 一种基于时变修正的动态医学图像后处理方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1918480A (zh) * 2004-02-10 2007-02-21 皇家飞利浦电子股份有限公司 磁共振成像方法
US7309985B2 (en) * 2003-04-23 2007-12-18 Koninklijke Philips Electronics N. V. Method of reconstructing an MR image
US8055037B2 (en) * 2007-07-02 2011-11-08 Siemens Aktiengesellschaft Robust reconstruction method for parallel magnetic resonance images

Family Cites Families (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11501140A (ja) * 1995-12-21 1999-01-26 フィリップス エレクトロニクス エヌ ベー 方向適合ノイズ減少
WO1999046731A1 (en) * 1998-03-13 1999-09-16 The University Of Houston System Methods for performing daf data filtering and padding
WO2002010790A1 (en) * 2000-07-31 2002-02-07 Koninklijke Philips Electronics N.V. Magnetic resonance method for forming a fast dynamic imaging
JP5085832B2 (ja) * 2000-07-31 2012-11-28 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ サブサンプリングされた捕捉を用いた磁気共鳴撮像方法
US7154268B2 (en) * 2001-10-19 2006-12-26 The United States Of America As Represented By The Secretary Of The Department Of Health And Human Services Method and apparatus to improve an MRI image using regularization
US20070055134A1 (en) * 2003-05-06 2007-03-08 Miha Fuderer Undersampled magnetic resonance imaging
WO2005024724A2 (en) * 2003-09-04 2005-03-17 Koninklijke Philips Electronics N.V. Locally adaptive nonlinear noise reduction
US7202663B2 (en) * 2003-11-12 2007-04-10 Iovivo Corporation Method for generating fast magnetic resonance images
US7053613B2 (en) * 2004-06-03 2006-05-30 Fa-Hsuan Lin Method for parallel image reconstruction using automatic regularization
CN100396240C (zh) 2005-02-28 2008-06-25 西门子（中国）有限公司 频域灵敏度编码磁共振并行成像方法
US7511495B2 (en) * 2005-04-25 2009-03-31 University Of Utah Systems and methods for image reconstruction of sensitivity encoded MRI data
US7309984B2 (en) 2005-10-27 2007-12-18 Wisconsin Alumni Research Foundation Parallel magnetic resonance imaging method using a radial acquisition trajectory
US7840045B2 (en) 2006-04-21 2010-11-23 The University Of Utah Research Foundation Method and system for parallel reconstruction in the K-space domain for application in imaging systems
WO2008010126A1 (en) * 2006-07-18 2008-01-24 Koninklijke Philips Electronics N.V. Artifact suppression in multi-coil mri
KR20100015625A (ko) * 2007-05-02 2010-02-12 데렉 디. 펭 양자 이론-기반 연속 정밀 핵 스핀 자기 공명 분광/핵 스핀 자기 공명 영상 방법 및 장치
CN101305908B (zh) 2007-05-17 2011-08-03 西门子公司 提高并行采集图像重建的信噪比损失的准确度的方法
CN101308202B (zh) 2007-05-17 2011-04-06 西门子公司 并行采集图像重建的方法和装置
US20090093709A1 (en) * 2007-05-18 2009-04-09 Beth Israel Deaconess Medical Center, Inc. Noise reduction system and methods for magnetic resonance imaging
CN101067650A (zh) * 2007-06-08 2007-11-07 骆建华 基于部分频谱数据信号重构的信号去噪方法
US8208709B2 (en) * 2008-04-17 2012-06-26 The Ohio State University Research Foundation System and method for improved real-time cine imaging
CN101794440B (zh) * 2010-03-12 2012-04-18 东南大学 图像序列的加权自适应超分辨率重建方法
CN101961242B (zh) * 2010-09-03 2011-11-23 首都医科大学宣武医院 一种用于磁共振冠状动脉成像的呼吸信号采集系统
US8548218B2 (en) * 2010-09-21 2013-10-01 Dimitris Metaxas Image reconstruction
DE102010061977B4 (de) * 2010-11-25 2013-10-17 Siemens Aktiengesellschaft Verfahren und Vorrichtung zur Ergänzung mit partiell parallelen Aufnahmeverfahren aufgenommen Magnetresonanz-Daten
US8781243B2 (en) * 2011-01-07 2014-07-15 Wisconsin Alumni Research Foundation Method for constrained reconstruction of high signal-to-noise ratio images
CN102156966A (zh) 2011-04-11 2011-08-17 北方工业大学 医学图像去噪
US8886283B1 (en) * 2011-06-21 2014-11-11 Stc.Unm 3D and 4D magnetic susceptibility tomography based on complex MR images
DE102011081413B8 (de) * 2011-08-23 2013-08-14 Friedrich-Alexander-Universität Erlangen-Nürnberg Iteratives Rekonstruktionsverfahren mit Straftermen aus Untersuchungsobjekten und Magnetresonanzanlage zur Durchführung eines solchen Verfahrens
DE102011081411B4 (de) * 2011-08-23 2013-04-11 Friedrich-Alexander-Universität Erlangen-Nürnberg Abtastmuster für iterative MR-Rekonstruktionsverfahren
CN104583798B (zh) * 2012-08-29 2018-07-17 皇家飞利浦有限公司 具有反馈的迭代感测去噪的系统和方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7309985B2 (en) * 2003-04-23 2007-12-18 Koninklijke Philips Electronics N. V. Method of reconstructing an MR image
CN1918480A (zh) * 2004-02-10 2007-02-21 皇家飞利浦电子股份有限公司 磁共振成像方法
US8055037B2 (en) * 2007-07-02 2011-11-08 Siemens Aktiengesellschaft Robust reconstruction method for parallel magnetic resonance images

Also Published As

Publication number Publication date
WO2014033207A1 (en) 2014-03-06
US20150212180A1 (en) 2015-07-30
JP2015533531A (ja) 2015-11-26
RU2015111181A (ru) 2016-10-20
CN104583798A (zh) 2015-04-29
EP2890993A1 (en) 2015-07-08
JP6261589B2 (ja) 2018-01-17
BR112015004071A2 (pt) 2017-07-04
US9841482B2 (en) 2017-12-12
RU2631404C2 (ru) 2017-09-21

Similar Documents

Publication Publication Date Title
CN104583798B (zh) 具有反馈的迭代感测去噪的系统和方法
EP2993642B1 (en) Method and apparatus for generating sharp image based on blurry image
US10203393B2 (en) System and method for removing gibbs artifact in medical imaging system
CN104838279B (zh) 具有不明显的副作用的局部伪影降低
CN102999884A (zh) 图像处理设备和方法
US9576345B2 (en) Simultaneous edge enhancement and non-uniform noise removal using refined adaptive filtering
KR102428725B1 (ko) 영상 개선 방법 및 이를 수행하는 컴퓨터 프로그램
WO2012048070A1 (en) Non-rigid composition of multiple overlapping medical imaging volumes
WO2016014354A1 (en) Iterative analysis-based non-convex prior for enhanced sparse recovery
CN103649782A (zh) 催化多回波相位展开方法
US9779485B2 (en) Magnetic resonance imaging apparatus and method
EP3607338A1 (en) Methods for iterative reconstruction of medical images using primal-dual optimization with stochastic dual variable updating
WO2015164825A1 (en) Dual space dictionary learning for magnetic resonance (mr) image reconstruction
WO2016208503A1 (ja) 画像診断装置，及び方法
JP2014233608A (ja) 画像処理装置及び医用画像診断装置
Welvaert et al. Adaptive smoothing as inference strategy: more specificity for unequally sized or neighbouring regions
CN106687044B (zh) 处理用于医学成像的数据的方法和系统
KR102429284B1 (ko) 컴바인이 적용되는 자기 공명 영상 처리 장치 및 그 방법
Yang et al. Robust biological parametric mapping: an improved technique for multimodal brain image analysis
US20250029210A1 (en) Flicker suppression without motion estimation for single-image super-resolution
Kafali et al. Adaptive locally low rank and sparsity constrained reconstruction for accelerated dynamic MRI
US20120328172A1 (en) Apparatus and method for determining padding length
HK40051517B (zh) 使用自关注深度学习进行图像增强的系统和方法

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20180717

CF01 Termination of patent right due to non-payment of annual fee