JP7337693B2 - 皮質奇形識別 - Google Patents

皮質奇形識別 Download PDF

Info

Publication number
JP7337693B2
JP7337693B2 JP2019536284A JP2019536284A JP7337693B2 JP 7337693 B2 JP7337693 B2 JP 7337693B2 JP 2019536284 A JP2019536284 A JP 2019536284A JP 2019536284 A JP2019536284 A JP 2019536284A JP 7337693 B2 JP7337693 B2 JP 7337693B2
Authority
JP
Japan
Prior art keywords
cortical
cerebral cortex
quantified
malformation
cortex
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
JP2019536284A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020505092A5 (enExample
JP2020505092A (ja
Inventor
ルボミール ゲオルギエフ ザゴルチェフ
ファビアン ウェンゼル
カルステン メイヤー
マーティン ベルクトルト
ハウチュン フー
ジェフリー ミラー
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 JP2020505092A publication Critical patent/JP2020505092A/ja
Publication of JP2020505092A5 publication Critical patent/JP2020505092A5/ja
Application granted granted Critical
Publication of JP7337693B2 publication Critical patent/JP7337693B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • G06T19/20Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30016Brain
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00Indexing scheme for image generation or computer graphics
    • G06T2210/41Medical
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/028Multiple view windows (top-side-front-sagittal-orthogonal)
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/20Indexing scheme for editing of 3D models
    • G06T2219/2012Colour 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)
JP2019536284A 2017-01-06 2018-01-03 皮質奇形識別 Active JP7337693B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762443061P 2017-01-06 2017-01-06
US62/443,061 2017-01-06
PCT/EP2018/050089 WO2018127499A1 (en) 2017-01-06 2018-01-03 Cortical malformation identification

Publications (3)

Publication Number Publication Date
JP2020505092A JP2020505092A (ja) 2020-02-20
JP2020505092A5 JP2020505092A5 (enExample) 2021-02-12
JP7337693B2 true JP7337693B2 (ja) 2023-09-04

Family

ID=61022304

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2019536284A Active JP7337693B2 (ja) 2017-01-06 2018-01-03 皮質奇形識別

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
US12029575B2 (en) * 2018-09-24 2024-07-09 Koninklijke Philips N.V. Mesial temporal lobe epilepsy classifier based on volume and shape of subcortical brain regions
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 (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100189328A1 (en) 2007-05-31 2010-07-29 Koninklijke Philips Electronics N.V. Method of automatically acquiring magnetic resonance image data
US20150289779A1 (en) 2012-10-18 2015-10-15 Bruce Fischl System and method for diagnosis of focal cortical dysplasia
US10302714B2 (en) 2017-09-15 2019-05-28 Siemens Healthcare Gmbh Magnetic resonance radio frequency pulse design using machine learning

Family Cites Families (16)

* 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)
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
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
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
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
EP2510500B1 (en) 2009-12-10 2017-08-02 Koninklijke Philips N.V. A system for rapid and accurate quantitative assessment of traumatic brain injury
US20130066189A1 (en) 2010-03-02 2013-03-14 Koninklijke Philips Electronics N.V. Normative dataset for neuropsychiatric disorders
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
US20160166192A1 (en) 2013-07-30 2016-06-16 Children's Hospital Los Angeles Magnetic resonance imaging tool to detect clinical difference in brain anatomy
EP3071985A1 (en) 2013-11-22 2016-09-28 Koninklijke Philips N.V. System for measuring cortical thickness from mr scan information
CA2946619A1 (en) * 2014-04-25 2015-10-29 Joseph Fisher Imaging abnormalities in vascular response
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100189328A1 (en) 2007-05-31 2010-07-29 Koninklijke Philips Electronics N.V. Method of automatically acquiring magnetic resonance image data
US20150289779A1 (en) 2012-10-18 2015-10-15 Bruce Fischl System and method for diagnosis of focal cortical dysplasia
US10302714B2 (en) 2017-09-15 2019-05-28 Siemens Healthcare Gmbh Magnetic resonance radio frequency pulse design using machine learning

Also Published As

Publication number Publication date
US11915412B2 (en) 2024-02-27
US20190347795A1 (en) 2019-11-14
WO2018127499A1 (en) 2018-07-12
CN110383347B (zh) 2023-11-07
EP3566211A1 (en) 2019-11-13
CN110383347A (zh) 2019-10-25
JP2020505092A (ja) 2020-02-20

Similar Documents

Publication Publication Date Title
EP3367331B1 (en) Deep convolutional encoder-decoder for prostate cancer detection and classification
Oeltze et al. Interactive visual analysis of perfusion data
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
US20150003706A1 (en) Probability mapping for visualisation and analysis of biomedical images
US7136516B2 (en) Method and system for segmenting magnetic resonance images
JP7337693B2 (ja) 皮質奇形識別
US20090326363A1 (en) Fused image modalities guidance
JP2018081714A (ja) 自動特徴解析、比較、及び異常検出
EP3667615B1 (en) Determination of metastases in an image of an anatomical body part
Datta et al. Gray matter segmentation of the spinal cord with active contours in MR images
JP6987721B2 (ja) 画像処理装置、方法およびプログラム
WO2018162307A1 (en) Seizure characterization with magnetic resonance imaging (mri) fused with an electroencephalography (eeg) model
Al-Tamimi et al. Alpha shape theory for 3D visualization and volumetric measurement of brain tumor progression using magnetic resonance images
JP2016195764A (ja) 医用画像処理装置およびプログラム
US7928728B2 (en) Visualizing high-resolution diffusion data by maximum coherence projection
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
CN108269292B (zh) 用于根据三维图像数据组产生二维投影图像的方法和设备
US20210407674A1 (en) Method and arrangement for identifying similar pre-stored medical datasets
KR20020079742A (ko) 고품질영상의 가시적 표시를 위한 상사치데이터의컨벌루젼필터링
US7689265B2 (en) System and method for the joint evaluation of multi phase MR marrow images
US20190236776A1 (en) Rib developed image generation apparatus, method, and program
US20210353360A1 (en) Craniotomy simulation device, method, and program
WO2017198518A1 (en) Image data processing device
Liu et al. Employing symmetry features for automatic misalignment correction in neuroimages
JP2020137889A (ja) 投影画像演算処理装置、投影画像演算処理方法および投影画像演算処理プログラム

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20201228

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20201228

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20211109

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20211217

A601 Written request for extension of time

Free format text: JAPANESE INTERMEDIATE CODE: A601

Effective date: 20220315

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20220616

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20221021

A601 Written request for extension of time

Free format text: JAPANESE INTERMEDIATE CODE: A601

Effective date: 20230118

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230420

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20230725

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20230823

R150 Certificate of patent or registration of utility model

Ref document number: 7337693

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150