Title :
A Joint Shape-Intensity Estimation in Computerized Tomography in the Presence of High-Density Objects
Author :
Chen, Xia ; Schmid, Natalia A.
Author_Institution :
Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
Abstract :
A new iterative method for tomographic image reconstruction 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.
Keywords :
computerised tomography; diagnostic radiography; image reconstruction; iterative methods; medical image processing; object detection; splines (mathematics); B-spline functions; background attenuation function; computerized tomography; deblurring problem; high-density objects; image reconstruction; iterative method; joint shape-intensity estimation; object boundary detection; regularization term; Algorithm design and analysis; Application software; Attenuation; Computed tomography; Degradation; Image reconstruction; Iterative algorithms; Iterative methods; Reconstruction algorithms; Shape; Computerized Tomography; High-density objects; I-divergence; shape reconstruction;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312514
