CA2940992C - Apparatus and method for generating and using a subject-specific statistical motion model - Google Patents

Apparatus and method for generating and using a subject-specific statistical motion model Download PDF

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Publication number
CA2940992C
CA2940992C CA2940992A CA2940992A CA2940992C CA 2940992 C CA2940992 C CA 2940992C CA 2940992 A CA2940992 A CA 2940992A CA 2940992 A CA2940992 A CA 2940992A CA 2940992 C CA2940992 C CA 2940992C
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subject
shape
representations
parameters
specific
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CA2940992A1 (en
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Dean Barratt
Yipeng Hu
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UCL Business Ltd
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UCL Business Ltd
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/12Edge-based segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/143Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/149Segmentation; Edge detection involving deformable models, e.g. active contour models
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/30Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/344Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
    • 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
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/755Deformable models or variational models, e.g. snakes or active contours
    • G06V10/7553Deformable models or variational models, e.g. snakes or active contours based on shape, e.g. active shape models [ASM]
    • 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
    • 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
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20124Active shape model [ASM]
    • 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
    • G06T2207/30081Prostate
    • 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
    • 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
    • G06V2201/031Recognition of patterns in medical or anatomical images of internal organs

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • Databases & Information Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Multimedia (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Image Analysis (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
  • Image Processing (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
CA2940992A 2014-03-04 2015-03-03 Apparatus and method for generating and using a subject-specific statistical motion model Active CA2940992C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
GB1403772.5 2014-03-04
GB201403772A GB201403772D0 (en) 2014-03-04 2014-03-04 Apparatus and method for generating and using a subject-specific statistical motion model
PCT/GB2015/050608 WO2015132575A1 (en) 2014-03-04 2015-03-03 Apparatus and method for generating and using a subject-specific statistical motion model

Publications (2)

Publication Number Publication Date
CA2940992A1 CA2940992A1 (en) 2015-09-11
CA2940992C true CA2940992C (en) 2022-06-21

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CA2940992A Active CA2940992C (en) 2014-03-04 2015-03-03 Apparatus and method for generating and using a subject-specific statistical motion model

Country Status (7)

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US (1) US10115201B2 (https=)
EP (1) EP3114645B1 (https=)
JP (1) JP2017512522A (https=)
AU (1) AU2015225921A1 (https=)
CA (1) CA2940992C (https=)
GB (1) GB201403772D0 (https=)
WO (1) WO2015132575A1 (https=)

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* Cited by examiner, † Cited by third party
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WO2012096882A1 (en) * 2011-01-11 2012-07-19 Rutgers, The State University Of New Jersey Method and apparatus for segmentation and registration of longitudinal images
US9851421B2 (en) 2015-01-05 2017-12-26 Case Western Reserve University Differential atlas for cancer assessment
US10293184B2 (en) * 2016-01-29 2019-05-21 Elekta Ltd. Therapy control using motion prediction
JP6821153B2 (ja) * 2016-11-10 2021-01-27 大日本印刷株式会社 生体組織画像解析システム、画像処理システム及びプログラム
US10952705B2 (en) * 2018-01-03 2021-03-23 General Electric Company Method and system for creating and utilizing a patient-specific organ model from ultrasound image data
JP7349158B2 (ja) * 2018-09-13 2023-09-22 国立大学法人京都大学 機械学習装置、推定装置、プログラム及び学習済みモデル
US10898151B2 (en) * 2018-10-31 2021-01-26 Medtronic Inc. Real-time rendering and referencing for medical procedures
EP3677186A1 (en) * 2019-01-03 2020-07-08 Siemens Healthcare GmbH Medical imaging device, system, and method for generating a motion-compensated image, and corresponding storage medium
CN111127488B (zh) * 2019-12-29 2022-10-14 兰州理工大学 一种基于统计形状模型自动构建患者解剖结构模型的方法
US12236517B2 (en) * 2021-11-16 2025-02-25 Disney Enterprises, Inc. Techniques for multi-view neural object modeling
US12327359B2 (en) * 2021-11-30 2025-06-10 Shanghai United Imaging Intelligence Co., Ltd. Image segmentation and tracking based on statistical shape model
US12552021B2 (en) * 2023-03-06 2026-02-17 Nvidia Corporation Techniques for training and implementing reinforcement learning policies for robot control
EP4715738A1 (en) * 2024-09-18 2026-03-25 Universidade do Minho Device and method for obtaining a full-surface estimate of an organ from a received partial anatomical point cloud

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8165359B2 (en) * 2005-08-30 2012-04-24 Agfa Healthcare N.V. Method of constructing gray value or geometric models of anatomic entity in medical image
US20070047790A1 (en) * 2005-08-30 2007-03-01 Agfa-Gevaert N.V. Method of Segmenting Anatomic Entities in Digital Medical Images
GB0521640D0 (en) * 2005-10-24 2005-11-30 Ccbr As Automatic quantification of a pathology indicating measure from cartilage scan data
WO2007110420A2 (en) * 2006-03-24 2007-10-04 Exini Diagnostics Ab Automatic interpretation of 3-d medicine images of the brain and methods for producing intermediate results
US8666128B2 (en) * 2007-10-18 2014-03-04 The University Of North Carolina At Chapel Hill Methods, systems, and computer readable media for mapping regions in a model of an object comprising an anatomical structure from one image data set to images used in a diagnostic or therapeutic intervention
EP2189942A3 (en) * 2008-11-25 2010-12-15 Algotec Systems Ltd. Method and system for registering a medical image
GB0913930D0 (en) * 2009-08-07 2009-09-16 Ucl Business Plc Apparatus and method for registering two medical images
US8724906B2 (en) 2011-11-18 2014-05-13 Microsoft Corporation Computing pose and/or shape of modifiable entities
JP6000705B2 (ja) * 2012-07-17 2016-10-05 キヤノン株式会社 データ処理装置及びデータ処理方法
US9269156B2 (en) 2012-07-24 2016-02-23 Siemens Aktiengesellschaft Method and system for automatic prostate segmentation in magnetic resonance images

Also Published As

Publication number Publication date
AU2015225921A1 (en) 2016-09-08
EP3114645A1 (en) 2017-01-11
US20160364880A1 (en) 2016-12-15
EP3114645B1 (en) 2018-11-14
CA2940992A1 (en) 2015-09-11
GB201403772D0 (en) 2014-04-16
US10115201B2 (en) 2018-10-30
WO2015132575A1 (en) 2015-09-11
JP2017512522A (ja) 2017-05-25

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