FR3082975B1 - VIDEO CLIP SELECTOR FOR MEDICAL IMAGING AND MEDICAL DIAGNOSIS - Google Patents

VIDEO CLIP SELECTOR FOR MEDICAL IMAGING AND MEDICAL DIAGNOSIS Download PDF

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Publication number
FR3082975B1
FR3082975B1 FR1855643A FR1855643A FR3082975B1 FR 3082975 B1 FR3082975 B1 FR 3082975B1 FR 1855643 A FR1855643 A FR 1855643A FR 1855643 A FR1855643 A FR 1855643A FR 3082975 B1 FR3082975 B1 FR 3082975B1
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France
Prior art keywords
video clip
image data
clip image
rule
medical
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
FR1855643A
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French (fr)
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FR3082975A1 (en
Inventor
Charles Cadieu
Ha Hong
Kilian Koepsell
Johan Mathe
Nicolas Poilvert
Michael Cannon
Nathanael Romano
Nathalia Bilenko
Charles Chen
Nina Miolane
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.)
Caption Health Inc
Original Assignee
Bay Labs Inc
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Publication date
Application filed by Bay Labs Inc filed Critical Bay Labs Inc
Priority to FR1855643A priority Critical patent/FR3082975B1/en
Publication of FR3082975A1 publication Critical patent/FR3082975A1/en
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Publication of FR3082975B1 publication Critical patent/FR3082975B1/en
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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/783Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Library & Information Science (AREA)
  • Multimedia (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Image Processing (AREA)

Abstract

Un procédé de sélection de clip inclut la réception par l'intermédiaire d'une interface avec un dispositif d'imagerie médicale d'une sélection d'une procédure de diagnostic et d'une partie cible d'un corps de mammifère. Ensuite, le dispositif acquiert des données image de clip vidéo de la partie cible et stocke les données image de clip vidéo dans une mémoire d'images. Chaque clip vidéo des données image de clip vidéo est ensuite traité par traitement d'image pour déterminer une vue et une qualité de chaque clip vidéo et une règle est récupérée à partir d'une base de règles correspondant à la procédure de diagnostic et à la partie cible sélectionnées. A cet égard, la règle spécifie une vue et une qualité requise des données image de clip vidéo. Enfin, la règle récupérée est appliquée aux données image de clip vidéo comme un filtre pour produire un sous-ensemble de données image de clip vidéo satisfaisant à la vue et à la qualité requises spécifiées et le sous-ensemble de données image de clip vidéo est stocké dans la mémoire d'images.A method of clip selection includes receiving through an interface with a medical imaging device a selection of a diagnostic procedure and a target portion of a mammalian body. Then, the device acquires video clip image data from the target part and stores the video clip image data in a frame memory. Each video clip of the video clip image data is then processed by image processing to determine a view and a quality of each video clip and a rule is retrieved from a rule base corresponding to the diagnostic procedure and the procedure. selected target part. In this regard, the rule specifies a view and a required quality of the video clip image data. Finally, the recovered rule is applied to the video clip image data as a filter to produce a subset of the video clip image data satisfying the specified required view and quality and the video clip image data subset is stored in image memory.

FR1855643A 2018-06-25 2018-06-25 VIDEO CLIP SELECTOR FOR MEDICAL IMAGING AND MEDICAL DIAGNOSIS Active FR3082975B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR1855643A FR3082975B1 (en) 2018-06-25 2018-06-25 VIDEO CLIP SELECTOR FOR MEDICAL IMAGING AND MEDICAL DIAGNOSIS

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1855643A FR3082975B1 (en) 2018-06-25 2018-06-25 VIDEO CLIP SELECTOR FOR MEDICAL IMAGING AND MEDICAL DIAGNOSIS
FR1855643 2018-06-25

Publications (2)

Publication Number Publication Date
FR3082975A1 FR3082975A1 (en) 2019-12-27
FR3082975B1 true FR3082975B1 (en) 2021-12-03

Family

ID=63963131

Family Applications (1)

Application Number Title Priority Date Filing Date
FR1855643A Active FR3082975B1 (en) 2018-06-25 2018-06-25 VIDEO CLIP SELECTOR FOR MEDICAL IMAGING AND MEDICAL DIAGNOSIS

Country Status (1)

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FR (1) FR3082975B1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11497451B2 (en) 2018-06-25 2022-11-15 Caption Health, Inc. Video clip selector for medical imaging and diagnosis

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111583249B (en) * 2020-05-12 2023-12-01 上海深至信息科技有限公司 Medical image quality monitoring system and method

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6597934B1 (en) * 2000-11-06 2003-07-22 Inspektor Research Systems B.V. Diagnostic image capture
EP2353139B1 (en) * 2008-10-01 2014-04-30 Koninklijke Philips N.V. Selection of snapshots of a medical image sequence
US8891881B2 (en) * 2012-01-25 2014-11-18 General Electric Company System and method for identifying an optimal image frame for ultrasound imaging

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11497451B2 (en) 2018-06-25 2022-11-15 Caption Health, Inc. Video clip selector for medical imaging and diagnosis

Also Published As

Publication number Publication date
FR3082975A1 (en) 2019-12-27

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