PMID: 15248580Jul 14, 2004Paper

Investigation of saddle trajectories for cardiac CT imaging in cone-beam geometry

Physics in Medicine and Biology
Jed PackH Kudo

Abstract

This paper investigates cone-beam tomography for a wide class of x-ray source trajectories called saddles. In particular, a mathematical analysis of the number of intersections between a saddle and an arbitrary plane is given. This analysis demonstrates that axially truncated cone-beam projections acquired along a saddle can be used for exact reconstruction at any point in a large volume. The reconstruction can be achieved either using a new algorithm presented herein or using a formula recently introduced by Katsevich (2003 Int. J. Math. Math. Sci. 21 1305-21). The shape of the reconstructed volume and the properties of saddles make saddles attractive for cardiac imaging. Three examples of saddles are presented with a discussion of implementation on devices similar to modern C-arm systems and multislice CT scanners. Reconstruction with one of these saddles has been tested using computer-simulated data, with and without truncation. The imaged phantom for the truncated data is a FORBILD head phantom (representing the heart) that has been modified and embedded inside the FORBILD thorax phantom. The non-truncated data were generated by excluding the thorax. The reconstructed images demonstrate the accuracy of the mathematical resu...Continue Reading

References

Aug 31, 2002·Physics in Medicine and Biology·J M WagnerR Clackdoyle
Jan 1, 1994·IEEE Transactions on Medical Imaging·M Defrise, R Clack
Feb 16, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·F NooR Clack

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Citations

May 24, 2011·International Journal of Computer Assisted Radiology and Surgery·Stefan HoppeFrédéric Noo
Jun 7, 2013·Physics in Medicine and Biology·Johan NuytsFreek J Beekman
Feb 11, 2009·Journal of Computer Assisted Tomography·Deepak BharkhadaGe Wang
Nov 27, 2009·Journal of Computer Assisted Tomography·Deepak BharkhadaGe Wang
Jul 21, 2004·Medical Physics·Yangbo YeaGe Wang
Mar 8, 2013·Medical Physics·Scott S HsiehNorbert J Pelc
Dec 24, 2005·Medical Physics·Hengyong YuGe Wang
Apr 15, 2008·Medical Physics·Ge WangBruno De Man
Mar 5, 2008·International Journal of Biomedical Imaging·Hengyong Yu, Ge Wang
Sep 15, 2005·IEEE Transactions on Medical Imaging·Yangbo YeGe Wang
Sep 14, 2017·Medical Physics·Mathias UnberathAndreas Maier
Aug 3, 2004·Physics in Medicine and Biology·Hiroyuki KudoMichel Defrise
Mar 5, 2016·PloS One·Ping ChenZhiguo Gui
Jul 25, 2006·Physics in Medicine and Biology·Haiquan YangHiroyuki Kudo
May 7, 2005·Physics in Medicine and Biology·Alexander Katsevich
Feb 17, 2006·Physics in Medicine and Biology·Haiquan YangHiroyuki Kudo
Nov 10, 2017·Medical Physics·Grace J GangJeffrey H Siewerdsen
Feb 24, 2005·Physics in Medicine and Biology·Tingliang ZhuangGuang-Hong Chen
Sep 10, 2014·Physics in Medicine and Biology·M XuD Li
Mar 11, 2016·Physics in Medicine and Biology·S OuadahJ H Siewerdsen
May 12, 2020·Journal of X-ray Science and Technology·Liu ShiGe Wang
Nov 25, 2005·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Yu ZouEmil Y Sidky
Mar 1, 2007·Physics in Medicine and Biology·Ge WangHengyong Yu

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