Estimation of missing data using windowed linear prediction in laterally truncated projection & in cone beam CT
Data(s) |
22/10/2007
|
---|---|
Resumo |
In this paper, we address the reconstruction problem from laterally truncated helical cone-beam projections. The reconstruction problem from lateral truncation, though similar to that of interior radon problem, is slightly different from it as well as the local (lambda) tomography and pseudo-local tomography in the sense that we aim to reconstruct the entire object being scanned from a region-of-interest (ROI) scan data. The method proposed in this paper is a projection data completion approach followed by the use of any standard accurate FBP type reconstruction algorithm. In particular, we explore a windowed linear prediction (WLP) approach for data completion and compare the quality of reconstruction with the linear prediction (LP) technique proposed earlier. |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/41515/1/Estimation.pdf Anoop, KP and Rajgopal, K (2007) Estimation of missing data using windowed linear prediction in laterally truncated projection & in cone beam CT. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. EMBS 2007., 22-26 Aug. 2007 , Lyon. |
Publicador |
IEEE |
Relação |
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4352936&tag=1 http://eprints.iisc.ernet.in/41515/ |
Palavras-Chave | #Electrical Engineering |
Tipo |
Conference Paper PeerReviewed |