JP2017512522A - 対象に固有の動きモデルを生成かつ使用する装置および方法 - Google Patents

対象に固有の動きモデルを生成かつ使用する装置および方法 Download PDF

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JP2017512522A
JP2017512522A JP2016555581A JP2016555581A JP2017512522A JP 2017512522 A JP2017512522 A JP 2017512522A JP 2016555581 A JP2016555581 A JP 2016555581A JP 2016555581 A JP2016555581 A JP 2016555581A JP 2017512522 A JP2017512522 A JP 2017512522A
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model
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JP2017512522A5 (enExample
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バラット、ディーン
フウ、イーペン
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ユーシーエル ビジネス ピーエルシー
ユーシーエル ビジネス ピーエルシー
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    • 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

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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)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
  • Image Processing (AREA)
JP2016555581A 2014-03-04 2015-03-03 対象に固有の動きモデルを生成かつ使用する装置および方法 Ceased JP2017512522A (ja)

Applications Claiming Priority (3)

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

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JP2017512522A true JP2017512522A (ja) 2017-05-25
JP2017512522A5 JP2017512522A5 (enExample) 2017-12-21

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

Cited By (2)

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WO2020054503A1 (ja) * 2018-09-13 2020-03-19 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
JP2020114374A (ja) * 2019-01-03 2020-07-30 シーメンス ヘルスケア ゲゼルシヤフト ミツト ベシユレンクテル ハフツング 動き補償画像を生成する医用撮像装置、システム、方法、及び対応する記憶媒体

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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
US10300303B2 (en) * 2016-01-29 2019-05-28 Elekta Ltd. Therapy control using motion prediction based on cyclic motion model
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
US10898151B2 (en) * 2018-10-31 2021-01-26 Medtronic Inc. Real-time rendering and referencing for medical procedures
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
US20240300099A1 (en) * 2023-03-06 2024-09-12 Nvidia Corporation Techniques for training and implementing reinforcement learning policies for robot control

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US20120155734A1 (en) * 2009-08-07 2012-06-21 Ucl Business Plc Apparatus and method for registering two medical images
JP2014018376A (ja) * 2012-07-17 2014-02-03 Canon Inc 画像処理装置及び方法

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US20070047790A1 (en) * 2005-08-30 2007-03-01 Agfa-Gevaert N.V. Method of Segmenting Anatomic Entities in Digital Medical Images
US8199985B2 (en) * 2006-03-24 2012-06-12 Exini Diagnostics Aktiebolag Automatic interpretation of 3-D medicine images of the brain and methods for producing intermediate results
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US8724906B2 (en) 2011-11-18 2014-05-13 Microsoft Corporation Computing pose and/or shape of modifiable entities
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US20120155734A1 (en) * 2009-08-07 2012-06-21 Ucl Business Plc Apparatus and method for registering two medical images
JP2013501290A (ja) * 2009-08-07 2013-01-10 ユーシーエル ビジネス ピーエルシー ２つの医用画像を位置合わせするための装置および方法
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Cited By (7)

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Publication number Priority date Publication date Assignee Title
WO2020054503A1 (ja) * 2018-09-13 2020-03-19 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
JPWO2020054503A1 (ja) * 2018-09-13 2021-09-16 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
US11631177B2 (en) 2018-09-13 2023-04-18 Kyoto University Machine learning device, estimation device, non-transitory computer readable medium, and learned model
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
JP2020114374A (ja) * 2019-01-03 2020-07-30 シーメンス ヘルスケア ゲゼルシヤフト ミツト ベシユレンクテル ハフツング 動き補償画像を生成する医用撮像装置、システム、方法、及び対応する記憶媒体
JP7012695B2 (ja) 2019-01-03 2022-01-28 シーメンス ヘルスケア ゲゼルシヤフト ミツト ベシユレンクテル ハフツング 動き補償画像を生成する医用撮像装置、システム、方法、及び対応する記憶媒体
US11436721B2 (en) 2019-01-03 2022-09-06 Siemens Healthcare Gmbh Medical imaging device, system, and method for generating a motion-compensated image, and corresponding storage medium

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Publication number Publication date
GB201403772D0 (en) 2014-04-16
EP3114645B1 (en) 2018-11-14
US10115201B2 (en) 2018-10-30
US20160364880A1 (en) 2016-12-15
AU2015225921A1 (en) 2016-09-08
CA2940992C (en) 2022-06-21
CA2940992A1 (en) 2015-09-11
WO2015132575A1 (en) 2015-09-11
EP3114645A1 (en) 2017-01-11

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