Title :
An Improved Helical Cone-Beam CT Image Reconstruction
Author :
Gao, Yang ; Ma, Jianhua ; Chen, Wufan
Author_Institution :
Sch. of Biomed. Eng., Southern Med. Univ., Guangzhou, China
Abstract :
This paper describes a flexible new method for accurate cone-beam reconstruction with source position on a helical orbit, which is called hybrid filter method. The inversion formula employed by this hybrid filter method is based on first applying Hilbert and ramp transforms for a combination with a simple rotation angular derivative and a direct weight in the projection space and then backprojecting the filtered data. First, about the derivatives with respect to the coordinates on the detector panel have been avoided,which results in quality improvement and reduced artifacts. Second, the new algorithm still performs a ID shift-invariant filtering to the modified data on the detector panel and the redundancy weight to the filtered data is applied after filtering. Third, the introduction of ramp filter can further promote image resolution than Hilbert filter.
Keywords :
Hilbert transforms; computerised tomography; filtering theory; image reconstruction; image resolution; medical image processing; Hilbert transform; ID shift-invariant filtering; data backprojection; detector panel; helical cone-beam CT image reconstruction; hybrid filter method; image resolution; ramp transform; redundancy weight; rotation angular derivative; Biomedical engineering; Biomedical imaging; Computed tomography; Detectors; Filtering algorithms; Filters; Hilbert space; Image reconstruction; Image resolution; X-ray imaging;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5162326