JP7772332B2 - 画像処理方法、プログラム、および画像処理装置 - Google Patents

画像処理方法、プログラム、および画像処理装置

Info

Publication number
JP7772332B2
JP7772332B2 JP2023502507A JP2023502507A JP7772332B2 JP 7772332 B2 JP7772332 B2 JP 7772332B2 JP 2023502507 A JP2023502507 A JP 2023502507A JP 2023502507 A JP2023502507 A JP 2023502507A JP 7772332 B2 JP7772332 B2 JP 7772332B2
Authority
JP
Japan
Prior art keywords
image
vascular
linear
point
mask
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
JP2023502507A
Other languages
English (en)
Japanese (ja)
Other versions
JPWO2022181726A5 (https=
JPWO2022181726A1 (https=
Inventor
康子 舘脇
哲也 米田
晃 荒井
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.)
Tohoku University NUC
Kumamoto University NUC
Original Assignee
Tohoku University NUC
Kumamoto University NUC
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 Tohoku University NUC, Kumamoto University NUC filed Critical Tohoku University NUC
Publication of JPWO2022181726A1 publication Critical patent/JPWO2022181726A1/ja
Publication of JPWO2022181726A5 publication Critical patent/JPWO2022181726A5/ja
Application granted granted Critical
Publication of JP7772332B2 publication Critical patent/JP7772332B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
    • A61B5/004Features 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
    • A61B5/0042Features 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 brain
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/055Detecting, 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • G01R33/5608Data 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
    • 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
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/136Segmentation; Edge detection involving thresholding
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/155Segmentation; Edge detection involving morphological operators
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/174Segmentation; Edge detection involving the use of two or more images
    • 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
    • G06T2207/20Special algorithmic details
    • G06T2207/20036Morphological image processing
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30101Blood vessel; Artery; Vein; Vascular

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Quality & Reliability (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Signal Processing (AREA)
  • Artificial Intelligence (AREA)
  • Neurology (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
JP2023502507A 2021-02-25 2022-02-24 画像処理方法、プログラム、および画像処理装置 Active JP7772332B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2021029161 2021-02-25
JP2021029161 2021-02-25
PCT/JP2022/007747 WO2022181726A1 (ja) 2021-02-25 2022-02-24 画像処理方法、プログラム、および画像処理装置

Publications (3)

Publication Number Publication Date
JPWO2022181726A1 JPWO2022181726A1 (https=) 2022-09-01
JPWO2022181726A5 JPWO2022181726A5 (https=) 2025-03-27
JP7772332B2 true JP7772332B2 (ja) 2025-11-18

Family

ID=83049206

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2023502507A Active JP7772332B2 (ja) 2021-02-25 2022-02-24 画像処理方法、プログラム、および画像処理装置

Country Status (4)

Country Link
US (1) US12548164B2 (https=)
JP (1) JP7772332B2 (https=)
DE (1) DE112022001182T5 (https=)
WO (1) WO2022181726A1 (https=)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2026023643A1 (ja) * 2024-07-25 2026-01-29 国立大学法人東北大学 脳医用画像処理装置および脳医用画像処理システム
CN121323789B (zh) * 2025-12-15 2026-02-27 中国科学院长春光学精密机械与物理研究所 交叉条形阳极单光子探测器的计算成像方法

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009125582A (ja) 2007-11-21 2009-06-11 Toshiba Corp 磁気共鳴イメージング装置
JP2009268741A (ja) 2008-05-08 2009-11-19 Toshiba Corp Mri画像診断装置及びmr画像形成方法
WO2010073923A1 (ja) 2008-12-26 2010-07-01 国立大学法人 熊本大学 位相差強調画像化法(Phase Difference Enhanced Imaging;PADRE)、機能画像作成法、位相差強調画像化プログラム、位相差強調画像化装置、機能画像作成装置および磁気共鳴画像化(Magnetic Resonance Imaging;MRI)装置
JP2015047224A (ja) 2013-08-30 2015-03-16 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー 血管画像作成装置および磁気共鳴装置
WO2019021543A1 (ja) 2017-07-27 2019-01-31 株式会社日立製作所 X線ct装置、画像生成方法および画像生成プログラム
JP2019514475A (ja) 2016-04-21 2019-06-06 コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. 動脈構造の磁気共鳴画像診断
JP2021006250A (ja) 2019-06-27 2021-01-21 国立大学法人岩手大学 3次元血管認識方法及び3次元血管認識装置
JP7504340B2 (ja) 2020-03-04 2024-06-24 国立大学法人 熊本大学 画像処理方法、画像処理装置、プログラム及び記録媒体

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080119731A1 (en) 2006-11-20 2008-05-22 North American Medical Corporation Portable ultrasound with touch screen interface
US10098563B2 (en) 2006-11-22 2018-10-16 Toshiba Medical Systems Corporation Magnetic resonance imaging apparatus
EP3295204B1 (en) * 2015-05-15 2022-11-02 The Medical College of Wisconsin, Inc. Systems and methods for calibrated multi-spectral magnetic resonance imaging
KR101806512B1 (ko) * 2016-01-19 2017-12-07 한국외국어대학교 연구산학협력단 배경 영상 정보를 이용한 혈관의 비강체 영상정합 장치 및 영상정합 방법
US10335026B2 (en) * 2017-01-11 2019-07-02 Canon Kabushiki Kaisha Image processing apparatus that generates a tomographic image using an estimation value of pixel values, and related optical coherence tomography apparatus, image processing method, and computer-readable storage medium
JP7125312B2 (ja) * 2018-09-07 2022-08-24 富士フイルムヘルスケア株式会社 磁気共鳴撮像装置、画像処理装置、及び、画像処理方法

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009125582A (ja) 2007-11-21 2009-06-11 Toshiba Corp 磁気共鳴イメージング装置
JP2009268741A (ja) 2008-05-08 2009-11-19 Toshiba Corp Mri画像診断装置及びmr画像形成方法
WO2010073923A1 (ja) 2008-12-26 2010-07-01 国立大学法人 熊本大学 位相差強調画像化法(Phase Difference Enhanced Imaging;PADRE)、機能画像作成法、位相差強調画像化プログラム、位相差強調画像化装置、機能画像作成装置および磁気共鳴画像化(Magnetic Resonance Imaging;MRI)装置
JP2015047224A (ja) 2013-08-30 2015-03-16 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー 血管画像作成装置および磁気共鳴装置
JP2019514475A (ja) 2016-04-21 2019-06-06 コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. 動脈構造の磁気共鳴画像診断
WO2019021543A1 (ja) 2017-07-27 2019-01-31 株式会社日立製作所 X線ct装置、画像生成方法および画像生成プログラム
JP2021006250A (ja) 2019-06-27 2021-01-21 国立大学法人岩手大学 3次元血管認識方法及び3次元血管認識装置
JP7504340B2 (ja) 2020-03-04 2024-06-24 国立大学法人 熊本大学 画像処理方法、画像処理装置、プログラム及び記録媒体

Also Published As

Publication number Publication date
US12548164B2 (en) 2026-02-10
WO2022181726A1 (ja) 2022-09-01
JPWO2022181726A1 (https=) 2022-09-01
US20240303819A1 (en) 2024-09-12
DE112022001182T5 (de) 2023-12-21

Similar Documents

Publication Publication Date Title
Maillard et al. An automated procedure for the assessment of white matter hyperintensities by multispectral (T1, T2, PD) MRI and an evaluation of its between-centre reproducibility based on two large community databases
Keihaninejad et al. An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease
Pacheco et al. Greater cortical thinning in normal older adults predicts later cognitive impairment
Mangla et al. CT perfusion in acute stroke: know the mimics, potential pitfalls, artifacts, and technical errors
Makedonov et al. Cerebral small vessel disease in aging and A lzheimer's disease: a comparative study using MRI and SPECT
JP7129869B2 (ja) 疾患領域抽出装置、方法及びプログラム
US8693746B2 (en) Technique for detecting neurodegenerative disorders
JP7772332B2 (ja) 画像処理方法、プログラム、および画像処理装置
Winder et al. Automatic arterial input function selection in CT and MR perfusion datasets using deep convolutional neural networks
Li et al. CT perfusion measurement of postictal hypoperfusion: localization of the seizure onset zone and patterns of spread
CN114302671B (zh) 通过影像信息后处理实现造影术的方法以及医疗影像系统
Mak et al. Proximity to dementia onset and multi-modal neuroimaging changes: The prevent-dementia study
Mäkelä et al. Automatic CT angiography lesion segmentation compared to CT perfusion in ischemic stroke detection: a feasibility study
Srivatsan et al. A relative noncontrast CT map to detect early ischemic changes in acute stroke
Spijkerman et al. Automatic quantification of perivascular spaces in T2-weighted images at 7 T MRI
Basukala et al. Automated segmentation of substantia nigra and red nucleus using quantitative susceptibility mapping images: Application to Parkinson's disease
Narayana et al. Effect of cocaine on structural changes in brain: MRI volumetry using tensor-based morphometry
Wen et al. Effect of white matter hyperintensities on cortical cerebral blood volume using perfusion MRI
Mu et al. Progressive brain structural abnormality in cerebral small vessel disease assessed with MR imaging by using causal network analysis
Shiino et al. Morphometric characterization of Binswanger's disease: comparison with Alzheimer's disease
Seibert et al. Default network correlations analyzed on native surfaces
George et al. Imaging the brain in dementia: expensive and futile?
Dobromyslin et al. Enhancing cerebral infarct classification by automatically extracting relevant fMRI features
JP2025523721A (ja) 人工知能基盤医療映像変換方法
JP7824765B2 (ja) 医療画像診断支援装置、医療画像診断支援方法及びプログラム

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20241206

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20250318

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20250729

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20250922

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: 20251007

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20251028

R150 Certificate of patent or registration of utility model

Ref document number: 7772332

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150