Tomographic Reconstruction of Label Images Using Gibbs Priors: Parameter Estimation, Methods, Algorithms - Couverture souple

Liao, Hstau Y

Couverture souple

ISBN 10 : 3838313070 ISBN 13 : 9783838313078

Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

In many applications of tomography, such as electron microscopy, industrial non-destructive testing, cardiac imaging, etc, the aim is to find the components constituting the object. Traditional approaches would first reconstruct the density distribution from the projection data and then segment (label) this distribution. This book introduces a new paradigm of directly estimating the label image from the projections, by postulating a low level prior knowledge regarding the underlying distribution of label images. Because of the typically small number of labels, this problem offers significant challenges and opportunity: much fewer data is required as a result. This work provides strategies, algorithms, as well as methods for choosing suitable Gibbs prior. Anyone who may be considering reconstructing label images from limited data should find this book a useful guide.

A propos du livre

À propos de l'auteur

Hstau Y Liao is a research scientist at Columbia University Medical Center. His research interest comprises tomography, image processing, optimization, and high-dimensional data modeling. Hstau was invited to consult for Toshiba. He won in various mathematical contests, including the IMO. Hstau is also interested in macroeconomics.

Détails de l'édition

• Éditeur: LAP Lambert Academic Publishing
• Date d'édition: 2009
• Langue: anglais
• ISBN 10: 3838313070
• ISBN 13: 9783838313078
• Reliure: Broché
• Nombre de pages: 180
• Coordonnées du fabricant: non disponible
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