Deformable Surface Models in Medical Image Analysis | Automatic surface extraction using deformable meshes

Jussi Tohka

ISBN 10: 3639176480 ISBN 13: 9783639176483
Editorial: VDM Verlag Dr. Müller, 2009
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Descripción:

Deformable Surface Models in Medical Image Analysis | Automatic surface extraction using deformable meshes | Jussi Tohka | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639176483 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de ref. del artículo 101507194

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Sinopsis:

Surface extraction from noisy volumetric images is a common task in medical image analysis. Due to noise, the use of prior information about surface topology and shape is necessary to automate the surface extraction. Deformable surface models can incorporate such geometric knowledge into the extraction process which is restated as an energy minimization problem. A drawback of deformable models is that the formulated minimization problem is difficult to solve because of numerous local minima and a large number of variables. This difficulty may lead to sensitivity to the initialization, complicating the unsupervised use of deformable models. This book offers a concise review on deformable surface methods concentrating on the ways to solve the initialization sensitivity problem. Particularly, global optimization methods to solve the energy minimization problem and applications of these to surface extraction from positron emission tomography images are presented. The book is intended to readers working in the field of medical image analysis. The book includes original publications by the author describing the global optimization approach to deformable surfaces in detail.

Reseña del editor: Surface extraction from noisy volumetric images is a common task in medical image analysis. Due to noise, the use of prior information about surface topology and shape is necessary to automate the surface extraction. Deformable surface models can incorporate such geometric knowledge into the extraction process which is restated as an energy minimization problem. A drawback of deformable models is that the formulated minimization problem is difficult to solve because of numerous local minima and a large number of variables. This difficulty may lead to sensitivity to the initialization, complicating the unsupervised use of deformable models. This book offers a concise review on deformable surface methods concentrating on the ways to solve the initialization sensitivity problem. Particularly, global optimization methods to solve the energy minimization problem and applications of these to surface extraction from positron emission tomography images are presented. The book is intended to readers working in the field of medical image analysis. The book includes original publications by the author describing the global optimization approach to deformable surfaces in detail.

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Detalles bibliográficos

Título: Deformable Surface Models in Medical Image ...
Editorial: VDM Verlag Dr. Müller
Año de publicación: 2009
Encuadernación: Taschenbuch
Condición: Neu

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