A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis (Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering) - Tapa blanda

Hufnagel, Heike

 
9783834817228: A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis (Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering)
Tapa blanda
ISBN 10: 3834817228 ISBN 13: 9783834817228
Editorial: Vieweg+Teubner Verlag, 2011

Sinopsis

In medical image analysis, major areas such as radiotherapy, surgery planning, and quantitative diagnostics benefit from shape modeling to facilitate solutions to analysis, segmentation and reconstruction problems.
Heike Hufnagel proposes a mathematically sound statistical shape model using correspondence probabilities instead of 1-to-1 correspondences. The explicit probabilistic model is employed as shape prior in an implicit level set segmentation. Due to the particular attributes of the new model, the challenging integration of explicit and implicit representations can be done in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation. Evaluations are performed to depict the characteristics and strengths of the new model and segmentation method.

The dissertation has received the Fokusfinder award 2011 by the Innovationsstiftung Schleswig-Holstein (ISH), the Basler AG and Philips Medical Systems.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Heike Hufnagel works as a research scientist at the Institute of Medical Informatics, University of Luebeck, Germany. She holds a PhD in natural sciences.

De la contraportada

In medical image analysis, major areas such as radiotherapy, surgery planning, and quantitative diagnostics benefit from shape modeling to facilitate solutions to analysis, segmentation and reconstruction problems.
Heike Hufnagel proposes a mathematically sound statistical shape model using correspondence probabilities instead of 1-to-1 correspondences. The explicit probabilistic model is employed as shape prior in an implicit level set segmentation. Due to the particular attributes of the new model, the challenging integration of explicit and implicit representations can be done in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation. Evaluations are performed to depict the characteristics and strengths of the new model and segmentation method.

The dissertation has received the Fokusfinder award 2011 by the Innovationsstiftung Schleswig-Holstein (ISH), the Basler AG and Philips Medical Systems.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Vieweg+Teubner Verlag
Año de publicación
2011
Idioma
Inglés
ISBN 10 
3834817228
ISBN 13 
9783834817228
Encuadernación
Tapa blanda
Número de páginas
172
Contacto del fabricante
Springer-Verlag GmbH
customerservice@springernature.com

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