Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Beschreibung
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 authors 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.
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 authors 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.
Über den Autor
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.
Zusammenfassung

Publication in the field of technical sciences?

Includes supplementary material: [...]

Inhaltsverzeichnis
Deformable Meshes for Accurate Automatic Segmentation.- Omnidirectional Displacements for Deformable Surfaces (ODDS).- Coupled Deformable Surfaces for Multi-object Segmentation.
Details
Erscheinungsjahr: 2014
Fachbereich: Anwendungs-Software
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering
Inhalt: xviii
180 S.
22 s/w Illustr.
30 farbige Illustr.
180 p. 52 illus.
30 illus. in color.
ISBN-13: 9783658070144
ISBN-10: 3658070145
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kainmueller, Dagmar
Hersteller: Springer Vieweg
Springer Fachmedien Wiesbaden GmbH
Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering
Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, D-65189 Wiesbaden, juergen.hartmann@springer.com
Maße: 210 x 148 x 12 mm
Von/Mit: Dagmar Kainmueller
Erscheinungsdatum: 29.08.2014
Gewicht: 0,266 kg
Artikel-ID: 105184822

Ähnliche Produkte