DocumentCode :
2845046
Title :
Tiny a priori knowledge solves the interior problem
Author :
Kudo, Hiroyuki ; Courdurier, Matias ; Noo, Frédéric ; Defrise, Michel
Volume :
6
fYear :
2007
fDate :
Oct. 26 2007-Nov. 3 2007
Firstpage :
4068
Lastpage :
4075
Abstract :
Based on the differentiated backprojection (DBP) framework [1-3], this paper shows that the solution to the interior problem in computed tomography is unique if a tiny a priori knowledge on the object f(x,y) is available in the form that f(x,y) is known on a small region located inside the region of interest. Furthermore, we advance the uniqueness result to obtain a more general uniqueness result which can be applied to a wider class of imaging configurations. The experimental results show evidence that the inversion corresponding to each obtained uniqueness result is stable.
Keywords :
Hilbert transforms; computerised tomography; image reconstruction; medical image processing; set theory; Hilbert transform; computed tomography; differentiated backprojection framework; interior problems; projection onto convex sets algorithm; region-of-interest reconstruction; tiny a priori knowledge; truncation; Computational efficiency; Computed tomography; Geometry; Image reconstruction; Nuclear and plasma sciences; Reconstruction algorithms; Time measurement; Differentiated backprojection; Hilbert transform; Image reconstruction; Interior problem; POCS; Truncation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE
Conference_Location :
Honolulu, HI
ISSN :
1095-7863
Print_ISBN :
978-1-4244-0922-8
Electronic_ISBN :
1095-7863
Type :
conf
DOI :
10.1109/NSSMIC.2007.4437021
Filename :
4437021
Link To Document :
بازگشت