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Deformable Meshes for Medical Image Segmentation

Accurate Automatic Segmentation of Anatomical Structures

Dagmar Kainmueller (Autor)

Buch | Softcover

XVIII, 180 Seiten

2014 | 2015
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-07014-4 (ISBN)

Lese- und Medienproben

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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.

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.

Deformable Meshes for Accurate Automatic Segmentation.- Omnidirectional Displacements for Deformable Surfaces (ODDS).- Coupled Deformable Surfaces for Multi-object Segmentation.

Erscheint lt. Verlag	29.8.2014
Reihe/Serie	Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering
Zusatzinfo	XVIII, 180 p. 52 illus., 30 illus. in color.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Gewicht	268 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
Schlagworte	Automatic segmentation • Deformable surfaces • Medical Image Data • Segmentation of anatomical structures in MID • Segmentation of Medical Image Data
ISBN-10	3-658-07014-5 / 3658070145
ISBN-13	978-3-658-07014-4 / 9783658070144
Zustand	Neuware