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My ICIP 2006 Schedule
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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. |
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