Title :
3D cone-beam generalized pseudo-lambda tomography based on FDK
Author :
Chen Lingjian ; Ma Jianhua ; Chen Wufan
Author_Institution :
Sch. of Biomed. Eng., Southern Med. Univ., Guangzhou
Abstract :
Because the medical CT scanner is rapidly evolving from fan-beam to cone-beam geometry, we motivate to take advantages of Noo´s formula for cone-beam reconstruction with higher temporal resolution. Feldkamp et al. proposed a practical cone-beam reconstruction algorithm for full scan data collected on a circular locus in 1984. It is known that the Feldkamp-type reconstruction framework is compatible with any fan-beam reconstruction formula. Therefore, the Noo´s formula can be generalized into Feldkamp-type algorithm for the satisfactory reconstruction of a volume of interest (VOI). Our method is the first attempt to combines the pseudo-lambda tomography (PLT) and Feldkamp-type algorithm together. Simulation using the 3D differentiable Shepp-Logan phantom is performed demonstrate the utility of this technique.
Keywords :
computerised tomography; image reconstruction; image resolution; medical image processing; 3D differentiable Shepp-Logan phantom; Feldkamp-type reconstruction framework; Walsh transform spectral; cone-beam geometry; fine-to-coarse approach; medical CT scanner; multiresolutional Gaussian mixture model; pseudo-lambda tomography; stable foreground segmentation; volume of interest; Approximation algorithms; Biomedical engineering; Biomedical imaging; Computed tomography; Extraterrestrial measurements; Geometry; Image reconstruction; Imaging phantoms; Reconstruction algorithms; X-ray imaging; Feldkamp-type; PLT; VOI; cone-beam;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712411
