Deformable Meshes for Medical Image Segmentation: Accurate Automatic Segmentation of Anatomical Structures
Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution is a novel defo...
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| Main Author: | |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Wiesbaden
Springer Fachmedien Wiesbaden
2015
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| Edition: | 1st ed. 2015 |
| Series: | Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering
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| Subjects: | |
| Online Access: | UBR01 Volltext |
| Summary: | Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data. Contents Deformable Meshes for Accurate Automatic Segmentation Omnidirectional Displacements for Deformable Surfaces (ODDS) Coupled Deformable Surfaces for Multi-object Segmentation From Surface Mesh Deformations to Volume Deformations Segmentation of Anatomical Structures in Medical Image Data Target Groups Academics and practitioners in the fields of computer science, medical imaging, and automatic segmentation. The Author Dagmar Kainmueller works as a research scientist at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, with a focus on bio image analysis. The Editor The series Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering is edited by Thorsten M. Buzug. |
| Item Description: | Deformable Meshes for Accurate Automatic Segmentation -- Omnidirectional Displacements for Deformable Surfaces (ODDS) -- Coupled Deformable Surfaces for Multi-object Segmentation |
| Physical Description: | 1 Online Ressource (XVIII, 180 Seiten, 52 Illustrationen, 30 Illustrationen in Farbe) |
| ISBN: | 9783658070151 |
| DOI: | 10.1007/978-3-658-07015-1 |
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| 520 | |a Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data. Contents Deformable Meshes for Accurate Automatic Segmentation Omnidirectional Displacements for Deformable Surfaces (ODDS) Coupled Deformable Surfaces for Multi-object Segmentation From Surface Mesh Deformations to Volume Deformations Segmentation of Anatomical Structures in Medical Image Data Target Groups Academics and practitioners in the fields of computer science, medical imaging, and automatic segmentation. The Author Dagmar Kainmueller works as a research scientist at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, with a focus on bio image analysis. The Editor The series Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering is edited by Thorsten M. Buzug. | ||
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| spelling | Kainmueller, Dagmar Verfasser aut Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures by Dagmar Kainmueller 1st ed. 2015 Wiesbaden Springer Fachmedien Wiesbaden 2015 1 Online Ressource (XVIII, 180 Seiten, 52 Illustrationen, 30 Illustrationen in Farbe) txt rdacontent c rdamedia cr rdacarrier Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering Deformable Meshes for Accurate Automatic Segmentation -- Omnidirectional Displacements for Deformable Surfaces (ODDS) -- Coupled Deformable Surfaces for Multi-object Segmentation Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author's core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data. Contents Deformable Meshes for Accurate Automatic Segmentation Omnidirectional Displacements for Deformable Surfaces (ODDS) Coupled Deformable Surfaces for Multi-object Segmentation From Surface Mesh Deformations to Volume Deformations Segmentation of Anatomical Structures in Medical Image Data Target Groups Academics and practitioners in the fields of computer science, medical imaging, and automatic segmentation. The Author Dagmar Kainmueller works as a research scientist at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, with a focus on bio image analysis. The Editor The series Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering is edited by Thorsten M. Buzug. Optical data processing Biomedical engineering Medizin (DE-588)4038243-6 gnd rswk-swf Bildgebendes Verfahren (DE-588)4006617-4 gnd rswk-swf Medizin (DE-588)4038243-6 s Bildgebendes Verfahren (DE-588)4006617-4 s DE-604 Erscheint auch als Druck-Ausgabe 9783658070168 Erscheint auch als Druck-Ausgabe 9783658070144 https://doi.org/10.1007/978-3-658-07015-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kainmueller, Dagmar Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures Optical data processing Biomedical engineering Medizin (DE-588)4038243-6 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd |
| subject_GND | (DE-588)4038243-6 (DE-588)4006617-4 |
| title | Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures |
| title_auth | Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures |
| title_exact_search | Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures |
| title_exact_search_txtP | Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures |
| title_full | Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures by Dagmar Kainmueller |
| title_fullStr | Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures by Dagmar Kainmueller |
| title_full_unstemmed | Deformable Meshes for Medical Image Segmentation Accurate Automatic Segmentation of Anatomical Structures by Dagmar Kainmueller |
| title_short | Deformable Meshes for Medical Image Segmentation |
| title_sort | deformable meshes for medical image segmentation accurate automatic segmentation of anatomical structures |
| title_sub | Accurate Automatic Segmentation of Anatomical Structures |
| topic | Optical data processing Biomedical engineering Medizin (DE-588)4038243-6 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd |
| topic_facet | Optical data processing Biomedical engineering Medizin Bildgebendes Verfahren |
| url | https://doi.org/10.1007/978-3-658-07015-1 |
| work_keys_str_mv | AT kainmuellerdagmar deformablemeshesformedicalimagesegmentationaccurateautomaticsegmentationofanatomicalstructures |