Results 1 - 10 of 15,578

A Survey of Medical Image Registration

by J. B. Antoine Maintz, Max A. Viergever , 1998
"... The purpose of this chapter is to present a survey of recent publications concerning medical image registration techniques. These publications will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods The statistics of t ..."
Abstract - Cited by 548 (5 self) - Add to MetaCart
The purpose of this chapter is to present a survey of recent publications concerning medical image registration techniques. These publications will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods The statistics

Deformable models in medical image analysis: A survey

by Tim Mcinerney, Demetri Terzopoulos - Medical Image Analysis , 1996
"... This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory. They hav ..."
Abstract - Cited by 591 (7 self) - Add to MetaCart
This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques, deformable models offer a unique and powerful approach to image analysis that combines geometry, physics, and approximation theory

The Use of Active Shape Models For Locating Structures in Medical Images

by T.F. Cootes, A. Hill, C.J. Taylor, J. Haslam , 1994
"... This paper describes a technique for building compact models of the shape and appearance of flexible objects (such as organs) seen in 2-D images. The models are derived from the statistics of sets of labelled images of examples of the objects. Each model ..."
Abstract - Cited by 375 (23 self) - Add to MetaCart
This paper describes a technique for building compact models of the shape and appearance of flexible objects (such as organs) seen in 2-D images. The models are derived from the statistics of sets of labelled images of examples of the objects. Each model

Medical Imaging

by Katerina Gkirtzou, Supervisors Nikos Paragios, Matthew Blaschko , 2013
"... Sparsity regularization and graph-based representation in medical imaging Ph.D. Thesis Defense ..."
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Sparsity regularization and graph-based representation in medical imaging Ph.D. Thesis Defense

Mutual-information-based registration of medical images: a survey

by Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever - IEEE TRANSCATIONS ON MEDICAL IMAGING , 2003
"... An overview is presented of the medical image processing literature on mutual-information-based registration. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific ..."
Abstract - Cited by 302 (3 self) - Add to MetaCart
An overview is presented of the medical image processing literature on mutual-information-based registration. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific

Fast Fluid Registration of Medical Images

by Morten Bro-nielsen, Claus Gramkow , 1996
"... . This paper offers a new fast algorithm for non-rigid Viscous Fluid Registration of medical images that is at least an order of magnitude faster than the previous method by Christensen et al. [4]. The core algorithm in the fluid registration method is based on a linear elastic deformation of the ve ..."
Abstract - Cited by 169 (1 self) - Add to MetaCart
. This paper offers a new fast algorithm for non-rigid Viscous Fluid Registration of medical images that is at least an order of magnitude faster than the previous method by Christensen et al. [4]. The core algorithm in the fluid registration method is based on a linear elastic deformation

in Medical Imaging

by Daniel L. Rubin, Kaustubh Supekar, Pattanasak Mongkolwat, Vladimir Kleper, David S. Channin, Image Markup
"... Project makes large distributed collections of medical images in cyberspace and hospital information systems accessible using an information model of image content and ontologies. Interest in applying Semantic Web technologies to the life sciences continues to ac-celerate. Biomedical research is inc ..."
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Project makes large distributed collections of medical images in cyberspace and hospital information systems accessible using an information model of image content and ontologies. Interest in applying Semantic Web technologies to the life sciences continues to ac-celerate. Biomedical research

3D multi-scale line filter for segmentation and visualization of curvilinear structures in medical images

by Yoshinobu Sato, Shin Nakajima, Nobuyuki Shiraga, Hideki Atsumi, Shigeyuki Yoshida, Thomas Koller, Guido Gerig, Ron Kikinis - In Proc. 1st Joint Conf. on CVRMed and MRCAS (CVRMed/MRCAS’97 , 1997
"... visualization of curvilinear structures in medical images ..."
Abstract - Cited by 191 (8 self) - Add to MetaCart
visualization of curvilinear structures in medical images

Multimodality Image Registration by Maximization of Mutual Information

by Frederik Maes, André Collignon, Dirk Vandermeulen, Guy Marchal, Paul Suetens - IEEE TRANSACTIONS ON MEDICAL IMAGING , 1997
"... A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence or in ..."
Abstract - Cited by 791 (10 self) - Add to MetaCart
A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence

Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images

by Yuri Y. Boykov , Marie-Pierre Jolly , 2001
"... In this paper we describe a new technique for general purpose interactive segmentation of N-dimensional images. The user marks certain pixels as “object” or “background” to provide hard constraints for segmentation. Additional soft constraints incorporate both boundary and region information. Graph ..."
Abstract - Cited by 1010 (20 self) - Add to MetaCart
” segments may consist of several isolated parts. Some experimental results are presented in the context of photo/video editing and medical image segmentation. We also demonstrate an interesting Gestalt example. A fast implementation of our segmentation method is possible via a new max-flow algorithm in [2].
Results 1 - 10 of 15,578