ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MP-P4.6
Session:Biomedical Image Reconstruction
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Biomedical Imaging: Tomography
Title: A JOINT SHAPE-INTENSITY ESTIMATION IN COMPUTERIZED TOMOGRAPHY IN THE PRESENCE OF HIGH-DENSITY OBJECTS
Authors: Xiaohan Chen; West Virginia University 
 Natalia A. Schmid; West Virginia University 
Abstract: A new iterative method for tomographic image econstruction in the presence of high-density objects of unknown shape and position is described. Application of traditional reconstruction methods in this case result in reconstruction of highly degraded images. We state the problem as a deblurring problem and design an iterative algorithm that jointly reconstructs background attenuation function and the shape of unknown object. B-spline functions are used to parameterize the object boundary. Regularization term is used to preserve against unwanted loops in the shape. We have performed a number of experiments to demonstrate potential of our algorithm.