CN110383347B - 皮质畸形识别 - Google Patents

皮质畸形识别 Download PDF

Info

Publication number
CN110383347B
CN110383347B CN201880016163.5A CN201880016163A CN110383347B CN 110383347 B CN110383347 B CN 110383347B CN 201880016163 A CN201880016163 A CN 201880016163A CN 110383347 B CN110383347 B CN 110383347B
Authority
CN
China
Prior art keywords
cortical
cerebral cortex
deformity
scan
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.)
Active
Application number
CN201880016163.5A
Other languages
English (en)
Chinese (zh)
Other versions
CN110383347A (zh
Inventor
L·G·扎戈尔谢夫
F·文策尔
C·迈尔
M·贝格特尔特
H·胡
J·米勒
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 CN110383347A publication Critical patent/CN110383347A/zh
Application granted granted Critical
Publication of CN110383347B publication Critical patent/CN110383347B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • 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
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30016—Brain
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/41—Medical
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/028—Multiple view windows (top-side-front-sagittal-orthogonal)
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20—Indexing scheme for editing of 3D models
    • G06T2219/2012—Colour editing, changing, or manipulating; Use of colour codes

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Architecture (AREA)
  • Computer Graphics (AREA)
  • Computer Hardware Design (AREA)
  • Quality & Reliability (AREA)
  • Software Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
CN201880016163.5A 2017-01-06 2018-01-03 皮质畸形识别 Active CN110383347B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762443061P 2017-01-06 2017-01-06
US62/443061 2017-01-06
PCT/EP2018/050089 WO2018127499A1 (en) 2017-01-06 2018-01-03 Cortical malformation identification

Publications (2)

Publication Number Publication Date
CN110383347A CN110383347A (zh) 2019-10-25
CN110383347B true CN110383347B (zh) 2023-11-07

Family

ID=61022304

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201880016163.5A Active CN110383347B (zh) 2017-01-06 2018-01-03 皮质畸形识别

Country Status (5)

Country Link
US (1) US11915412B2 (enExample)
EP (1) EP3566211A1 (enExample)
JP (1) JP7337693B2 (enExample)
CN (1) CN110383347B (enExample)
WO (1) WO2018127499A1 (enExample)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240135558A1 (en) * 2014-04-25 2024-04-25 Thornhill Scientific Inc. Imaging abnormalities in vascular response
DE112019004765T5 (de) * 2018-09-24 2021-07-08 Koninklijke Philips N.V. Klassifikator für mesiale temporallappenepilepsie basierend auf volumen und form subkortikaler hirnregionen
US12102489B2 (en) * 2021-06-30 2024-10-01 Clearpoint Neuro, Inc. Image-guided surgical systems with quantitative evaluation of in vivo thermal treatments and related methods
US12446803B2 (en) * 2023-08-04 2025-10-21 Thornhill Scientific Inc. Method and system of measuring brain oxygenation using deoxyhemoglobin contrast

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5320102A (en) * 1992-11-18 1994-06-14 Ciba-Geigy Corporation Method for diagnosing proteoglycan deficiency in cartilage based on magnetic resonance image (MRI)
WO2005025404A2 (en) * 2003-09-08 2005-03-24 Vanderbilt University Apparatus and methods of cortical surface registration and deformation tracking for patient-to-image alignment in relation to image-guided surgery
CN102844790A (zh) * 2010-03-02 2012-12-26 皇家飞利浦电子股份有限公司 用于神经精神疾病的标准数据集
WO2015161363A1 (en) * 2014-04-25 2015-10-29 Joseph Fisher Imaging abnormalities in vascular response

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7103399B2 (en) 2003-09-08 2006-09-05 Vanderbilt University Apparatus and methods of cortical surface registration and deformation tracking for patient-to-image alignment in relation to image-guided surgery
EP1603076A1 (en) * 2004-05-13 2005-12-07 Aalborg Universitet Computerized cortex boundary extraction from MR images
US20070218084A1 (en) * 2005-12-30 2007-09-20 Fondazione Pierfranco E Luisa Mariani- Onlus Method for the Mapping of the Epileptogenic Focus in the Pre-Surgical Evaluation of Patients with Intractable Epilepsy
US20100189328A1 (en) * 2007-05-31 2010-07-29 Koninklijke Philips Electronics N.V. Method of automatically acquiring magnetic resonance image data
US9788753B2 (en) * 2009-02-26 2017-10-17 Ramot At Tel-Aviv University Ltd. Method and system for characterizing cortical structures
US20100220910A1 (en) * 2009-03-02 2010-09-02 General Electric Company Method and system for automated x-ray inspection of objects
BR112012013691A8 (pt) 2009-12-10 2017-11-07 Dartmouth College Método para segmentação automática e sistema
US9230321B2 (en) 2012-03-30 2016-01-05 University Of Louisville Research Foundation, Inc. Computer aided diagnostic system incorporating 3D shape analysis of the brain for identifying developmental brain disorders
WO2014066001A2 (en) * 2012-10-18 2014-05-01 The General Hospital Corporation System and method for diagnosis of focal cortical dysplasia
US20160166192A1 (en) 2013-07-30 2016-06-16 Children's Hospital Los Angeles Magnetic resonance imaging tool to detect clinical difference in brain anatomy
US20160306023A1 (en) 2013-11-22 2016-10-20 Koninklijke Philips N.V. System for measuring cortical thickness from mr scan information
US9530206B2 (en) 2015-03-31 2016-12-27 Sony Corporation Automatic 3D segmentation and cortical surfaces reconstruction from T1 MRI
US20160335765A1 (en) * 2015-05-12 2016-11-17 Justus W. Harris Three dimensional modeling of health data
US10262414B2 (en) * 2015-07-29 2019-04-16 University Of Louisville Research Foundation, Inc. Computer aided diagnostic system for mapping of brain images
US10302714B2 (en) * 2017-09-15 2019-05-28 Siemens Healthcare Gmbh Magnetic resonance radio frequency pulse design using machine learning

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5320102A (en) * 1992-11-18 1994-06-14 Ciba-Geigy Corporation Method for diagnosing proteoglycan deficiency in cartilage based on magnetic resonance image (MRI)
WO2005025404A2 (en) * 2003-09-08 2005-03-24 Vanderbilt University Apparatus and methods of cortical surface registration and deformation tracking for patient-to-image alignment in relation to image-guided surgery
CN102844790A (zh) * 2010-03-02 2012-12-26 皇家飞利浦电子股份有限公司 用于神经精神疾病的标准数据集
WO2015161363A1 (en) * 2014-04-25 2015-10-29 Joseph Fisher Imaging abnormalities in vascular response

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
3D shape analysis of the brain"s third ventricle using a midplane encoded symmetric template model;Kim Jaeil et al.;《Computer methods and programs in biomedicine》;20160228;第51-62页 *
超声联合MRI诊断胎儿大脑皮层发育异常的研究;王音 等;《山东大学学报(医学版)》;20131129;第57-61页 *

Also Published As

Publication number Publication date
EP3566211A1 (en) 2019-11-13
JP7337693B2 (ja) 2023-09-04
US11915412B2 (en) 2024-02-27
WO2018127499A1 (en) 2018-07-12
US20190347795A1 (en) 2019-11-14
CN110383347A (zh) 2019-10-25
JP2020505092A (ja) 2020-02-20

Similar Documents

Publication Publication Date Title
Tucholka et al. An empirical comparison of surface-based and volume-based group studies in neuroimaging
Zou et al. Three validation metrics for automated probabilistic image segmentation of brain tumours
JP6214563B2 (ja) 定量的ｔ１マッピングを用いた、リスクに晒されたエリアの自動化された検出
EP3367331A1 (en) Deep convolutional encoder-decoder for prostate cancer detection and classification
CN110383347B (zh) 皮质畸形识别
Zhang et al. Glyph-based comparative visualization for diffusion tensor fields
US7136516B2 (en) Method and system for segmenting magnetic resonance images
JP2018500970A (ja) 構成材料の分類を改善するための方法およびシステム
Datta et al. Gray matter segmentation of the spinal cord with active contours in MR images
EP3592211A1 (en) Seizure characterization with magnetic resonance imaging (mri) fused with an electroencephalography (eeg) model
WO2018210233A1 (en) Intravoxel incoherent motion mri 3-dimensional quantitative detection of tissue abnormality with improved data processing
US7928728B2 (en) Visualizing high-resolution diffusion data by maximum coherence projection
WO2013086026A1 (en) System and method of automatically detecting tissue abnormalities
US12033755B2 (en) Method and arrangement for identifying similar pre-stored medical datasets
Csore et al. Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent space: A technical feasibility study
US7283655B2 (en) System and method for segmenting tissue types in dual-echo magnetic resonance images
JP6580823B2 (ja) 医用画像処理装置及びｍｒｉ装置
US20230342994A1 (en) Storage medium, image identification method, image identification device
WO2017198518A1 (en) Image data processing device
Liu et al. Employing symmetry features for automatic misalignment correction in neuroimages
Divakaran An Explainable Method for Image Registration with Applications in Medical Imaging
Liu et al. Symmetry identification using partial surface matching and tilt correction in 3D brain images
Vandeleene et al. Comparison of multiple sclerosis lesions segmentation using quantitative or FLAIR MR images
JP2020096763A (ja) 画像処理装置、及び、磁気共鳴イメージング装置
Masutani et al. Appearance similarity flow for quantification of anatomical landmark uncertainty in medical images

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant