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WO2002056241A1 - Algorithmes computationnels pour enregistrement d'images - Google Patents

Algorithmes computationnels pour enregistrement d'images Download PDF

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Publication number
WO2002056241A1
WO2002056241A1 PCT/US2002/000655 US0200655W WO02056241A1 WO 2002056241 A1 WO2002056241 A1 WO 2002056241A1 US 0200655 W US0200655 W US 0200655W WO 02056241 A1 WO02056241 A1 WO 02056241A1
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WIPO (PCT)
Prior art keywords
image
sep
images
level
registration
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.)
Ceased
Application number
PCT/US2002/000655
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English (en)
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WO2002056241A9 (fr
Inventor
Baba C. Vemuri
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University of Florida
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University of Florida
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Publication date
Application filed by University of Florida filed Critical University of Florida
Publication of WO2002056241A1 publication Critical patent/WO2002056241A1/fr
Publication of WO2002056241A9 publication Critical patent/WO2002056241A9/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/14—Transformations for image registration, e.g. adjusting or mapping for alignment of images
    • 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
    • G06T7/32—Determination of transform parameters for the alignment of images, i.e. image registration using correlation-based methods
    • 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
    • G06T7/37—Determination of transform parameters for the alignment of images, i.e. image registration using transform domain methods
    • 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
    • G06T2207/30016—Brain

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Image Analysis (AREA)

Abstract

L'invention concerne une nouvelle technique d'évolution des courbes exprimée dans un cadre d'ensembles de niveaux (Fig. 1, 1-2) et utilisée pour réaliser un enregistrement d'images. La mise en oeuvre de cette technique est fondée sur l'observation selon laquelle une transformation de coordonnées entre deux images données peut être réalisée par découverte d'une correspondance appropriée (Fig. 1, 4) entre deux fonctions d'intensité d'images. Par conséquent, on réalise une mise au point d'ensembles de niveaux d'une image dans les ensembles de niveaux de l'autre image. Pour estimer la déformation entre les images, on dérive un modèle de mouvement d'ensembles de niveaux permettant d'obtenir le flux optique entre les images dans certaines conditions. Une équation pouvant être utilisée pour calculer le flux optique est une équation différentielle partielle (PDE) hyperbolique non linéaire, à savoir une nouvelle formulation destinée à résoudre le problème associé au flux optique dans une vision artificielle. Un procédé destiné à la réalisation d'un enregistrement d'images multimodales consiste à établir une correspondance entre des représentations d'images de fréquence locale. Ce procédé consiste à réduire, sur toutes les transformations affines, la valeur probable de la différence au carré entre les représentations de fréquence locale des images source et cible. Dans le cas où la fusion des données multimodales requiert une estimation des déformations non rigides, on peut recourir à une technique nouvelle et rapide de morphage fondée sur l'équation PDE et permettant d'estimer un alignement non rigide.
PCT/US2002/000655 2001-01-12 2002-01-14 Algorithmes computationnels pour enregistrement d'images Ceased WO2002056241A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US26088601P 2001-01-12 2001-01-12
US60/260,886 2001-01-12

Publications (2)

Publication Number Publication Date
WO2002056241A1 true WO2002056241A1 (fr) 2002-07-18
WO2002056241A9 WO2002056241A9 (fr) 2003-01-30

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2002/000655 Ceased WO2002056241A1 (fr) 2001-01-12 2002-01-14 Algorithmes computationnels pour enregistrement d'images

Country Status (1)

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WO (1) WO2002056241A1 (fr)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004047024A1 (fr) * 2002-11-19 2004-06-03 Universität Zu Lübeck Procede de recalage d'images
WO2006026177A1 (fr) * 2004-08-31 2006-03-09 Siemens Medical Solutions Usa, Inc. Procede et systeme de correction de mouvement dans une sequence d'images
WO2006032855A3 (fr) * 2004-09-21 2006-06-01 Isis Innovation Ameliorations apportees au traitement d'images
US7639896B2 (en) 2004-08-09 2009-12-29 Carestream Health, Inc. Multimodal image registration using compound mutual information
US7653264B2 (en) 2005-03-04 2010-01-26 The Regents Of The University Of Michigan Method of determining alignment of images in high dimensional feature space
US7697736B2 (en) * 2004-11-30 2010-04-13 Samsung Electronics Co., Ltd Face detection method and apparatus using level-set method
GB2477183A (en) * 2009-12-21 2011-07-27 Siemens Medical Solutions Processing medical imaging data using phase information
CN104574357A (zh) * 2013-10-16 2015-04-29 康耐视公司 定位带有已知图形的基准点的系统和方法
CN104732529A (zh) * 2015-03-05 2015-06-24 北京空间机电研究所 一种遥感图像形状特征配准方法
CN105139398A (zh) * 2015-08-26 2015-12-09 武汉大学 一种基于多特征的灰度不均图像快速分割方法
US11010630B2 (en) 2017-04-27 2021-05-18 Washington University Systems and methods for detecting landmark pairs in images
US20240221191A1 (en) * 2022-12-28 2024-07-04 United Imaging Research Institute Of Innovative Me Method for identifying control points, method for image registration and computer devices

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5850486A (en) * 1996-04-29 1998-12-15 The Mclean Hospital Corporation Registration of image data

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5850486A (en) * 1996-04-29 1998-12-15 The Mclean Hospital Corporation Registration of image data

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
C. BAILLARD ET AL.: "Segmentation of 3D brain structures using level sets and dense registration", IEEE, 2000, pages 1 - 8, XP002951141 *
SHUQIAN LUO ET AL.: "Implementation of mutual information based multi-modality medical image registration", IEEE, 2000, pages 1447 - 1450, XP002951142 *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2004047024A1 (fr) * 2002-11-19 2004-06-03 Universität Zu Lübeck Procede de recalage d'images
US7639896B2 (en) 2004-08-09 2009-12-29 Carestream Health, Inc. Multimodal image registration using compound mutual information
WO2006026177A1 (fr) * 2004-08-31 2006-03-09 Siemens Medical Solutions Usa, Inc. Procede et systeme de correction de mouvement dans une sequence d'images
US7440628B2 (en) 2004-08-31 2008-10-21 Siemens Medical Solutions Usa, Inc. Method and system for motion correction in a sequence of images
WO2006032855A3 (fr) * 2004-09-21 2006-06-01 Isis Innovation Ameliorations apportees au traitement d'images
US7697736B2 (en) * 2004-11-30 2010-04-13 Samsung Electronics Co., Ltd Face detection method and apparatus using level-set method
US7653264B2 (en) 2005-03-04 2010-01-26 The Regents Of The University Of Michigan Method of determining alignment of images in high dimensional feature space
GB2477183A (en) * 2009-12-21 2011-07-27 Siemens Medical Solutions Processing medical imaging data using phase information
GB2477183B (en) * 2009-12-21 2014-08-13 Siemens Medical Solutions Methods and apparatus for processing medical imaging data using phase information
CN104574357A (zh) * 2013-10-16 2015-04-29 康耐视公司 定位带有已知图形的基准点的系统和方法
CN104574357B (zh) * 2013-10-16 2018-09-21 康耐视公司 定位带有已知图形的基准点的系统和方法
CN104732529A (zh) * 2015-03-05 2015-06-24 北京空间机电研究所 一种遥感图像形状特征配准方法
CN105139398A (zh) * 2015-08-26 2015-12-09 武汉大学 一种基于多特征的灰度不均图像快速分割方法
US11010630B2 (en) 2017-04-27 2021-05-18 Washington University Systems and methods for detecting landmark pairs in images
US20240221191A1 (en) * 2022-12-28 2024-07-04 United Imaging Research Institute Of Innovative Me Method for identifying control points, method for image registration and computer devices

Also Published As

Publication number Publication date
WO2002056241A9 (fr) 2003-01-30

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