Deformable models in medical image analysis: a survey

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 have...

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Published in	Medical image analysis Vol. 1; no. 2; pp. 91 - 108
Main Authors	McInerney, Tim, Terzopoulos, Demetri
Format	Journal Article
Language	English
Published	Netherlands Elsevier B.V 01.06.1996
Subjects	Animals deformable models Diagnostic Imaging Dogs Humans Image Processing, Computer-Assisted matching Models, Theoretical motion tracking Phantoms, Imaging Reproducibility of Results segmentation shape modeling segmentation motion tracking shape modeling deformable models matching
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Abstract	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 have proven to be effective in segmenting, matching and tracking anatomic structures by exploiting (bottom-up) constraints derived from the image data together with (top-down) a priori knowledge about the location, size and shape of these structures. Deformable models are capable of accommodating the significant variability of biological structures over time and across different individuals. Furthermore, they support highly intuitive interaction mechanisms that, when necessary, allow medical scientists and practitioners to bring their expertise to bear on the model-based image interpretation task. This article reviews the rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching and motion tracking.
AbstractList	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 have proven to be effective in segmenting, matching and tracking anatomic structures by exploiting (bottom-up) constraints derived from the image data together with (top-down) a priori knowledge about the location, size and shape of these structures. Deformable models are capable of accommodating the significant variability of biological structures over time and across different individuals. Furthermore, they support highly intuitive interaction mechanisms that, when necessary, allow medical scientists and practitioners to bring their expertise to bear on the model-based image interpretation task. This article reviews the rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching and motion tracking. 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 have proven to be effective in segmenting, matching and tracking anatomic structures by exploiting (bottom-up) constraints derived from the image data together with (top-down) a priori knowledge about the location, size and shape of these structures. Deformable models are capable of accommodating the significant variability of biological structures over time and across different individuals. Furthermore, they support highly intuitive interaction mechanisms that, when necessary, allow medical scientists and practitioners to bring their expertise to bear on the model-based image interpretation task. This article reviews the rapidly expanding body of work on the development and application of deformable models to problems of fundamental importance in medical image analysis, including segmentation, shape representation, matching and motion tracking.
Author	McInerney, Tim Terzopoulos, Demetri
Author_xml	– sequence: 1 givenname: Tim surname: McInerney fullname: McInerney, Tim email: tim@vis.toronto.edu – sequence: 2 givenname: Demetri surname: Terzopoulos fullname: Terzopoulos, Demetri
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/9873923$$D View this record in MEDLINE/PubMed
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PublicationTitle	Medical image analysis
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Snippet	This article surveys deformable models, a promising and vigorously researched computer-assisted medical image analysis technique. Among model-based techniques,...
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SubjectTerms	Animals deformable models Diagnostic Imaging Dogs Humans Image Processing, Computer-Assisted matching Models, Theoretical motion tracking Phantoms, Imaging Reproducibility of Results segmentation shape modeling
Title	Deformable models in medical image analysis: a survey
URI	https://dx.doi.org/10.1016/S1361-8415(96)80007-7 https://www.ncbi.nlm.nih.gov/pubmed/9873923 https://search.proquest.com/docview/78767299
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