JP6885564B2 - 腫瘍および/または健常組織の非侵襲的検出方法およびハイパースペクトルイメージング装置 - Google Patents

腫瘍および/または健常組織の非侵襲的検出方法およびハイパースペクトルイメージング装置 Download PDF

Info

Publication number
JP6885564B2
JP6885564B2 JP2019547759A JP2019547759A JP6885564B2 JP 6885564 B2 JP6885564 B2 JP 6885564B2 JP 2019547759 A JP2019547759 A JP 2019547759A JP 2019547759 A JP2019547759 A JP 2019547759A JP 6885564 B2 JP6885564 B2 JP 6885564B2
Authority
JP
Japan
Prior art keywords
pixel
hyperspectral
classification
cluster
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
JP2019547759A
Other languages
English (en)
Japanese (ja)
Other versions
JP2019537180A (ja
JP2019537180A5 (enExample
Inventor
カリコ,グスタヴォ マレーロ
カリコ,グスタヴォ マレーロ
ゴメス,イマー アントニオ ファベロ
ゴメス,イマー アントニオ ファベロ
サルミエント,サミュエル オルテガ
サルミエント,サミュエル オルテガ
スタンスキュ,ボドガン
ラビ,キラン バンガロール
ラビ,キラン バンガロール
Original Assignee
ユニバーシダッド デ ラス パルマス デ グラン カナリア
ユニバーシダッド デ ラス パルマス デ グラン カナリア
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 ユニバーシダッド デ ラス パルマス デ グラン カナリア, ユニバーシダッド デ ラス パルマス デ グラン カナリア filed Critical ユニバーシダッド デ ラス パルマス デ グラン カナリア
Publication of JP2019537180A publication Critical patent/JP2019537180A/ja
Publication of JP2019537180A5 publication Critical patent/JP2019537180A5/ja
Application granted granted Critical
Publication of JP6885564B2 publication Critical patent/JP6885564B2/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
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2321Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G06F18/23213Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147Distances to closest patterns, e.g. nearest neighbour classification
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/763Non-hierarchical techniques, e.g. based on statistics of modelling distributions
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • G06T2207/10056Microscopic image
    • 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
    • G06T2207/20081Training; Learning
    • 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
    • G06T2207/30096Tumor; Lesion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/58Extraction of image or video features relating to hyperspectral data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03Recognition of patterns in medical or anatomical images
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Probability & Statistics with Applications (AREA)
  • Computing Systems (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Image Analysis (AREA)
JP2019547759A 2016-11-22 2016-11-22 腫瘍および/または健常組織の非侵襲的検出方法およびハイパースペクトルイメージング装置 Active JP6885564B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2016/078477 WO2018095516A1 (en) 2016-11-22 2016-11-22 Method of non-invasive detection of tumour and/or healthy tissue and hyperspectral imaging apparatus

Publications (3)

Publication Number Publication Date
JP2019537180A JP2019537180A (ja) 2019-12-19
JP2019537180A5 JP2019537180A5 (enExample) 2020-02-06
JP6885564B2 true JP6885564B2 (ja) 2021-06-16

Family

ID=57389451

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2019547759A Active JP6885564B2 (ja) 2016-11-22 2016-11-22 腫瘍および/または健常組織の非侵襲的検出方法およびハイパースペクトルイメージング装置

Country Status (5)

Country Link
US (1) US10964018B2 (enExample)
EP (1) EP3545491B1 (enExample)
JP (1) JP6885564B2 (enExample)
ES (1) ES2842850T3 (enExample)
WO (1) WO2018095516A1 (enExample)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6392476B1 (ja) * 2018-03-19 2018-09-19 大輝 中矢 生体組織解析装置および生体組織解析プログラム
US11257213B2 (en) * 2018-10-25 2022-02-22 Koninklijke Philips N.V. Tumor boundary reconstruction using hyperspectral imaging
CN109543717B (zh) * 2018-10-25 2021-07-20 中国地质大学(北京) 基于自适应邻域及字典的联合协作表达高光谱分类方法
CN109871768B (zh) * 2019-01-18 2022-04-29 西北工业大学 基于共享最近邻的高光谱最优波段选择方法
JP7258568B2 (ja) * 2019-01-18 2023-04-17 キヤノンメディカルシステムズ株式会社 超音波診断装置、画像処理装置、及び画像処理プログラム
EP3969978B1 (en) * 2019-05-14 2025-10-01 University of Pittsburgh - of the Commonwealth System of Higher Education System and method for characterizing cellular phenotypic diversity from multi-parameter cellular. and sub-cellular imaging data
CN110309868A (zh) * 2019-06-24 2019-10-08 西北工业大学 结合无监督学习的高光谱图像分类方法
WO2021050421A1 (en) * 2019-09-09 2021-03-18 Paige.Al, Inc. Systems and methods for processing images of slides for digital pathology
EP3805835B1 (en) 2019-10-10 2023-10-04 Leica Instruments (Singapore) Pte. Ltd. Optical imaging system and related apparatus, method and computer program
EP4162242A1 (en) 2020-06-03 2023-04-12 King's College London Method and system for joint demosaicking and spectral signature estimation
CN111783865B (zh) * 2020-06-23 2022-03-15 西北工业大学 基于空谱邻域嵌入和最优相似图的高光谱分类方法
CN111833353B (zh) * 2020-07-16 2022-04-12 四川九洲电器集团有限责任公司 一种基于图像分割的高光谱目标检测方法
JP7665327B2 (ja) * 2020-12-17 2025-04-21 富士フイルム株式会社 画像解析装置、画像解析方法、及び画像解析プログラム
US11410316B1 (en) * 2021-01-27 2022-08-09 UiPath, Inc. System and computer-implemented method for validation of label data
CN112905823B (zh) * 2021-02-22 2023-10-31 深圳市国科光谱技术有限公司 一种基于大数据平台的高光谱物质检测识别系统及方法
CN113327256B (zh) * 2021-05-28 2024-11-05 深圳前海微众银行股份有限公司 多光谱图像的分割方法、装置、电子设备及存储介质
DE102021121635A1 (de) * 2021-08-20 2023-02-23 Carl Zeiss Microscopy Gmbh Automatisiertes trainieren eines maschinengelernten algorithmus basierend auf der überwachung einer mikroskopiemessung
WO2023096971A1 (en) * 2021-11-24 2023-06-01 Applied Materials, Inc. Artificial intelligence-based hyperspectrally resolved detection of anomalous cells
US20250060380A1 (en) * 2021-12-23 2025-02-20 Seegene, Inc. Method For Predicting Performance Of Detection Device

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012005512A (ja) 2010-06-22 2012-01-12 Olympus Corp 画像処理装置、内視鏡装置、内視鏡システム、プログラム及び画像処理方法
WO2015023990A1 (en) 2013-08-15 2015-02-19 The Trustees Of Dartmouth College Method and apparatus for quantitative and depth resolved hyperspectral fluorescence and reflectance imaging for surgical guidance
JP6247316B2 (ja) 2013-01-30 2017-12-13 コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. ハイパースペクトルカメラガイドプローブを持つイメージングシステム
WO2014139020A1 (en) 2013-03-15 2014-09-18 Synaptive Medical (Barbados) Inc. Surgical imaging systems
US10169866B2 (en) * 2014-04-22 2019-01-01 Hitachi, Ltd. Medical image processing and diagnostic image generation device for predetermined types of diagnostic information
EP3212057B1 (en) * 2014-10-29 2021-12-01 Spectral MD, Inc. Reflective mode multi-spectral time-resolved optical imaging methods and apparatuses for tissue classification
CN110573066A (zh) * 2017-03-02 2019-12-13 光谱Md公司 用于多光谱截肢部位分析的机器学习系统和技术
WO2019084697A1 (en) * 2017-11-06 2019-05-09 University Health Network Platform, device and process for annotation and classification of tissue specimens using convolutional neural network
US11257213B2 (en) * 2018-10-25 2022-02-22 Koninklijke Philips N.V. Tumor boundary reconstruction using hyperspectral imaging

Also Published As

Publication number Publication date
US20190279362A1 (en) 2019-09-12
ES2842850T3 (es) 2021-07-15
JP2019537180A (ja) 2019-12-19
US10964018B2 (en) 2021-03-30
EP3545491B1 (en) 2020-10-14
WO2018095516A1 (en) 2018-05-31
EP3545491A1 (en) 2019-10-02

Similar Documents

Publication Publication Date Title
JP6885564B2 (ja) 腫瘍および/または健常組織の非侵襲的検出方法およびハイパースペクトルイメージング装置
US11257213B2 (en) Tumor boundary reconstruction using hyperspectral imaging
US11984217B2 (en) Method and apparatus for processing histological image captured by medical imaging device
Fabelo et al. Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
Huang et al. Retinal artery/vein classification using genetic-search feature selection
Leon et al. VNIR–NIR hyperspectral imaging fusion targeting intraoperative brain cancer detection
JP7693112B2 (ja) 画像処理方法、装置、機器、及びプログラム
Pourreza-Shahri et al. Computationally efficient optic nerve head detection in retinal fundus images
EP3716136A1 (en) Tumor boundary reconstruction using hyperspectral imaging
Fabelo et al. A novel use of hyperspectral images for human brain cancer detection using in-vivo samples
Trucco et al. Morphometric measurements of the retinal vasculature in fundus images with VAMPIRE
Lu et al. Hyperspectral imaging of neoplastic progression in a mouse model of oral carcinogenesis
Pike et al. A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection
Oikawa et al. Pathological diagnosis of gastric cancers with a novel computerized analysis system
Domingues et al. Computer vision in esophageal cancer: a literature review
Zarella et al. An optimized color transformation for the analysis of digital images of hematoxylin & eosin stained slides
US20210209755A1 (en) Automatic lesion border selection based on morphology and color features
Fernandez-Granero et al. Automatic CDR estimation for early glaucoma diagnosis
Ichim et al. Advanced processing techniques for detection and classification of skin lesions
Tejasree et al. Gradient boosting ensembled method for in-vivo brain tumour classification using hyperspectral images
Colomer et al. Evaluation of fractal dimension effectiveness for damage detection in retinal background
Dickson et al. A Dual Channel Multiscale Convolution U-Net Methodfor Liver Tumor Segmentation from Abdomen CT Images
KR20020079742A (ko) 고품질영상의 가시적 표시를 위한 상사치데이터의컨벌루젼필터링
Walshe et al. Detection of occluding targets in natural backgrounds
Xiong et al. Modeling of human skin by the Use of Deep Learning

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20191118

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20191118

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20201124

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20201208

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20210304

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: 20210406

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20210430

R150 Certificate of patent or registration of utility model

Ref document number: 6885564

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250