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 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.06.1996
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Subjects | |
Online Access | Get full text |
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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. |
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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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Keywords | segmentation motion tracking shape modeling deformable models matching |
Language | English |
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PMID | 9873923 |
PQID | 78767299 |
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PageCount | 18 |
ParticipantIDs | proquest_miscellaneous_78767299 crossref_primary_10_1016_S1361_8415_96_80007_7 pubmed_primary_9873923 elsevier_sciencedirect_doi_10_1016_S1361_8415_96_80007_7 |
PublicationCentury | 1900 |
PublicationDate | 1996-Jun |
PublicationDateYYYYMMDD | 1996-06-01 |
PublicationDate_xml | – month: 06 year: 1996 text: 1996-Jun |
PublicationDecade | 1990 |
PublicationPlace | Netherlands |
PublicationPlace_xml | – name: Netherlands |
PublicationTitle | Medical image analysis |
PublicationTitleAlternate | Med Image Anal |
PublicationYear | 1996 |
Publisher | Elsevier B.V |
Publisher_xml | – name: Elsevier B.V |
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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 |
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