AU2015225921A1 - 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

Info

Publication number
AU2015225921A1
AU2015225921A1 AU2015225921A AU2015225921A AU2015225921A1 AU 2015225921 A1 AU2015225921 A1 AU 2015225921A1 AU 2015225921 A AU2015225921 A AU 2015225921A AU 2015225921 A AU2015225921 A AU 2015225921A AU 2015225921 A1 AU2015225921 A1 AU 2015225921A1
Authority
AU
Australia
Prior art keywords
subject
shape
representations
parameters
specific
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.)
Abandoned
Application number
AU2015225921A
Other languages
English (en)
Inventor
Dean Barratt
Yipeng Hu
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.)
UCL Business Ltd
Original Assignee
UCL Business Ltd
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 UCL Business Ltd filed Critical UCL Business Ltd
Publication of AU2015225921A1 publication Critical patent/AU2015225921A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/143—Segmentation; Edge detection involving probabilistic approaches, e.g. Markov random field [MRF] modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/149—Segmentation; Edge detection involving deformable models, e.g. active contour models
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
    • 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
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation 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
    • G06V10/755—Deformable models or variational models, e.g. snakes or active contours
    • G06V10/7553—Deformable models or variational models, e.g. snakes or active contours based on shape, e.g. active shape models [ASM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20124—Active shape model [ASM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30081—Prostate
    • 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
    • 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
    • G06V2201/031—Recognition of patterns in medical or anatomical images of internal organs

Landscapes

  • 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)
AU2015225921A 2014-03-04 2015-03-03 Apparatus and method for generating and using a subject-specific statistical motion model Abandoned AU2015225921A1 (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 (1)

Publication Number Publication Date
AU2015225921A1 true AU2015225921A1 (en) 2016-09-08

Family

ID=50490747

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2015225921A Abandoned AU2015225921A1 (en) 2014-03-04 2015-03-03 Apparatus and method for generating and using a subject-specific statistical motion model

Country Status (7)

Country Link
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=)

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (10)

* 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
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
CA2940992C (en) 2022-06-21
JP2017512522A (ja) 2017-05-25

Similar Documents

Publication Publication Date Title
CA2940992C (en) Apparatus and method for generating and using a subject-specific statistical motion model
AU2010280527B2 (en) Apparatus and method for registering two medical images
US9262583B2 (en) Image similarity-based finite element model registration
CN110770792B (zh) 确定临床靶体积
Hu et al. Population-based prediction of subject-specific prostate deformation for MR-to-ultrasound image registration
US9761014B2 (en) System and method for registering pre-operative and intra-operative images using biomechanical model simulations
CN111862249A (zh) 使用深度学习生成用于医学图像处理的规范成像数据的系统和方法
Warfield et al. Real-time biomechanical simulation of volumetric brain deformation for image guided neurosurgery
US9224204B2 (en) Method and apparatus for registration of multimodal imaging data using constraints
Duchateau et al. Infarct localization from myocardial deformation: prediction and uncertainty quantification by regression from a low-dimensional space
EP3424017B1 (en) Automatic detection of an artifact in patient image data
US20210224424A1 (en) Anonymisation of medical patient images using an atlas
US11138736B2 (en) Information processing apparatus and information processing method
Chen et al. Fully automatic segmentation of ap pelvis x-rays via random forest regression and hierarchical sparse shape composition
US11295462B2 (en) Determination of registration accuracy
Ruiz‐España et al. Automatic segmentation of the spine by means of a probabilistic atlas with a special focus on ribs suppression
Vania et al. Automatic spine segmentation using convolutional neural network via redundant generation of class labels for 3D spine modeling
Hu Registration of magnetic resonance and ultrasound images for guiding prostate cancer interventions
US11501442B2 (en) Comparison of a region of interest along a time series of images
Foruzan et al. Capturing large shape variations of liver using population-based statistical shape models
Freire et al. Multiple sclerosis lesion enhancement and white matter region estimation using hyperintensities in FLAIR images
Boussot et al. Statistical model for the prediction of lung deformation during video-assisted thoracoscopic surgery
Liu CT-Based Automated Measures of Lung Volume-Defined Mechanical Biomarkers of Ribs and Their Relations with COPD-Related Respiratory Impairment
Deng Spatiotemporal Volumetric Machine Learning Methods for Computer Aided Medical Imaging
Shamsil et al. A computational model for estimating tumor margins in complementary tactile and 3D ultrasound images

Legal Events

Date Code Title Description
MK4 Application lapsed section 142(2)(d) - no continuation fee paid for the application