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Deformable Models I

Jasjit S. Suri

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ISBN 10: 0387312013 / ISBN 13: 9780387312019
Published by Springer-Verlag Gmbh Aug 2007, 2007
New Condition: Neu
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Neuware - This book covers the complete spectrum of deformable models, its evolution as an imagery field and its use in many biomedical engineering and clinical application disciplines. It includes level sets, PDEs, curve and surface evolution and their applications in biomedical fields covering both static and motion imagery. 558 pp. Englisch. Bookseller Inventory # 9780387312019

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Bibliographic Details

Title: Deformable Models I

Publisher: Springer-Verlag Gmbh Aug 2007

Publication Date: 2007

Binding: Buch

Book Condition: Neu

About this title

Synopsis:

This book covers the complete spectrum of deformable models, its evolution as an imagery field and its use in many biomedical engineering and clinical application disciplines. It includes level sets, PDEs, curve and surface evolution and their applications in biomedical fields covering both static and motion imagery.

From the Back Cover:

Deformable Models: Biomedical and Clinical Applications is the first entry in the two-volume set which provides a wide cross-section of the methods and algorithms of variational and Partial-Differential Equations (PDE) methods in biomedical image analysis. The chapters of Deformable Models: Biomedical and Clinical Applications are written by the well-known researchers in this field, and the presentation style goes beyond an intricate abstraction of the theory into real application of the methods and description of the algorithms that were implemented. As such these chapters will serve the main goal of the editors of these two volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues.

Overall, the chapters in the first volume provide an elegant cross-section of the theory and application of variational and PDE approaches in medical image analysis. This volume introduces, discusses, and provides solutions for problems ranging from structural inversion to models for cardiac segmentation, and other applications in medical image analysis. Graduate students and researchers at various levels of familiarity with these techniques will find the volume very useful for understanding the theory and algorithmic implementations. In addition, the various case studies provided demonstrate the power of these techniques in clinical applications.

Researchers at various levels will find these chapters useful to understand the theory, algorithms, and implementation of many of these approaches.

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