A probabilistic framework for point-based shape modeling in medical image analysis / Heike Hufnagel ; with a foreword by Heinz Handels.
"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 cor...
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| Main Author: | |
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| Format: | Ebook |
| Language: | English |
| Published: |
Wiesbaden :
Vieweg+Teubner Verlag / Springer Fachmedien Wiesbaden,
2011.
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| Edition: | 1st ed. |
| Series: | Vieweg+Teubner research. Medizintechnik.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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."--Publisher's website. |
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| Item Description: | Description based on print version record. Originally presented as author's thesis (Ph. D.)--Universität zu Lübeck, 2010. |
| Physical Description: | 1 electronic document (xxii, 145 p.: ill. (some col.)). |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references (p.131-145) |
| ISBN: | 1283469197 3834886009 9781283469197 9783834886002 |