JP7798173B2 - 医用イメージング用のサリエンシーマップ - Google Patents

医用イメージング用のサリエンシーマップ

Info

Publication number
JP7798173B2
JP7798173B2 JP2024509022A JP2024509022A JP7798173B2 JP 7798173 B2 JP7798173 B2 JP 7798173B2 JP 2024509022 A JP2024509022 A JP 2024509022A JP 2024509022 A JP2024509022 A JP 2024509022A JP 7798173 B2 JP7798173 B2 JP 7798173B2
Authority
JP
Japan
Prior art keywords
medical
image
training
map
medical 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
JP2024509022A
Other languages
English (en)
Japanese (ja)
Other versions
JP2024534039A (ja
JP2024534039A5 (https=
Inventor
セルゲイ カストリューリン
アレクセイ チェルニャフスキー
ニコラ ペッツォッティ
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 JP2024534039A publication Critical patent/JP2024534039A/ja
Publication of JP2024534039A5 publication Critical patent/JP2024534039A5/ja
Application granted granted Critical
Publication of JP7798173B2 publication Critical patent/JP7798173B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T12/00—Tomographic reconstruction from projections
    • G06T12/10—Image preprocessing, e.g. calibration, positioning of sources or scatter correction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • G06V10/235—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on user input or interaction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
    • G06V10/464—Salient features, e.g. scale invariant feature transforms [SIFT] using a plurality of salient features, e.g. bag-of-words [BoW] representations
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993—Evaluation of the quality of the acquired pattern
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/193—Preprocessing; Feature extraction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Quality & Reliability (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Ophthalmology & Optometry (AREA)
  • Human Computer Interaction (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Image Analysis (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
JP2024509022A 2021-08-20 2022-08-11 医用イメージング用のサリエンシーマップ Active JP7798173B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
RU2021124793 2021-08-20
RU2021124793 2021-08-20
PCT/EP2022/072515 WO2023020924A1 (en) 2021-08-20 2022-08-11 Saliency maps for medical imaging

Publications (3)

Publication Number Publication Date
JP2024534039A JP2024534039A (ja) 2024-09-18
JP2024534039A5 JP2024534039A5 (https=) 2025-07-22
JP7798173B2 true JP7798173B2 (ja) 2026-01-14

Family

ID=83193211

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2024509022A Active JP7798173B2 (ja) 2021-08-20 2022-08-11 医用イメージング用のサリエンシーマップ

Country Status (5)

Country Link
US (1) US20240355094A1 (https=)
EP (1) EP4388505B1 (https=)
JP (1) JP7798173B2 (https=)
CN (1) CN117859155A (https=)
WO (1) WO2023020924A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4586186A1 (en) * 2024-01-11 2025-07-16 Koninklijke Philips N.V. Supporting the assessment of image quality in medical images

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021038088A1 (en) 2019-08-29 2021-03-04 Koninklijke Philips N.V. Methods for analyzing and reducing inter/intra site variability using reduced reference images and improving radiologist diagnostic accuracy and consistency
US20210174497A1 (en) 2019-12-09 2021-06-10 Siemens Healthcare Gmbh Saliency mapping by feature reduction and perturbation modeling in medical imaging
US20210192263A1 (en) 2017-10-13 2021-06-24 Optellum Limited System, method and apparatus for assisting a determination of medical images

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20210192263A1 (en) 2017-10-13 2021-06-24 Optellum Limited System, method and apparatus for assisting a determination of medical images
WO2021038088A1 (en) 2019-08-29 2021-03-04 Koninklijke Philips N.V. Methods for analyzing and reducing inter/intra site variability using reduced reference images and improving radiologist diagnostic accuracy and consistency
US20210174497A1 (en) 2019-12-09 2021-06-10 Siemens Healthcare Gmbh Saliency mapping by feature reduction and perturbation modeling in medical imaging

Also Published As

Publication number Publication date
WO2023020924A1 (en) 2023-02-23
US20240355094A1 (en) 2024-10-24
CN117859155A (zh) 2024-04-09
JP2024534039A (ja) 2024-09-18
EP4388505A1 (en) 2024-06-26
EP4388505B1 (en) 2025-07-16

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